from google.colab import drive
drive.mount('/content/drive')
Mounted at /content/drive
import pandas as pd
from warnings import filterwarnings
filterwarnings('ignore')
pd.set_option("display.max_columns",None)
pd.set_option("display.max_rows",None)
A = pd.read_csv("/content/drive/MyDrive/python/Attrition_Project/Trial 01/HR-Employee-Attrition-Table 1.csv")
A
A.isna().sum()
Attrition 0 Age 0 BusinessTravel 0 DailyRate 0 Department 0 DistanceFromHome 0 Education 0 EducationField 0 EmployeeCount 0 EmployeeNumber 0 EnvironmentSatisfaction 0 Gender 0 HourlyRate 0 JobInvolvement 0 JobLevel 0 JobRole 0 JobSatisfaction 0 MaritalStatus 0 MonthlyIncome 0 MonthlyRate 0 NumCompaniesWorked 0 Over18 0 OverTime 0 PercentSalaryHike 0 PerformanceRating 0 RelationshipSatisfaction 0 StandardHours 0 StockOptionLevel 0 TotalWorkingYears 0 TrainingTimesLastYear 0 WorkLifeBalance 0 YearsAtCompany 0 YearsInCurrentRole 0 YearsSinceLastPromotion 0 YearsWithCurrManager 0 dtype: int64
def replacer(df):
T=pd.DataFrame(df.isna().sum(), columns=['misval'])
Q = T[T.misval > 0]
for i in Q.index:
if df[i].dtypes == "object":
mode = df[i].mode()[0]
df[i]=df[i].fillna(mode)
else:
mean = round(df[i].mean(), 2)
df[i] = df[i].fillna(mean)
A['Department'].mode()[0]
'Research & Development'
A['Age'].mean()
36.923809523809524
replacer(A)
A
| Attrition | Age | BusinessTravel | DailyRate | Department | DistanceFromHome | Education | EducationField | EmployeeCount | EmployeeNumber | EnvironmentSatisfaction | Gender | HourlyRate | JobInvolvement | JobLevel | JobRole | JobSatisfaction | MaritalStatus | MonthlyIncome | MonthlyRate | NumCompaniesWorked | Over18 | OverTime | PercentSalaryHike | PerformanceRating | RelationshipSatisfaction | StandardHours | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 41 | Travel_Rarely | 1102 | Sales | 1 | 2 | Life Sciences | 1 | 1 | 2 | Female | 94 | 3 | 2 | Sales Executive | 4 | Single | 5993 | 19479 | 8 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 8 | 0 | 1 | 6 | 4 | 0 | 5 |
| 1 | 0 | 49 | Travel_Frequently | 279 | Research & Development | 8 | 1 | Life Sciences | 1 | 2 | 3 | Male | 61 | 2 | 2 | Research Scientist | 2 | Married | 5130 | 24907 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 7 | 1 | 7 |
| 2 | 1 | 37 | Travel_Rarely | 1373 | Research & Development | 2 | 2 | Other | 1 | 4 | 4 | Male | 92 | 2 | 1 | Laboratory Technician | 3 | Single | 2090 | 2396 | 6 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 7 | 3 | 3 | 0 | 0 | 0 | 0 |
| 3 | 0 | 33 | Travel_Frequently | 1392 | Research & Development | 3 | 4 | Life Sciences | 1 | 5 | 4 | Female | 56 | 3 | 1 | Research Scientist | 3 | Married | 2909 | 23159 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 3 | 3 | 8 | 7 | 3 | 0 |
| 4 | 0 | 27 | Travel_Rarely | 591 | Research & Development | 2 | 1 | Medical | 1 | 7 | 1 | Male | 40 | 3 | 1 | Laboratory Technician | 2 | Married | 3468 | 16632 | 9 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 5 | 0 | 32 | Travel_Frequently | 1005 | Research & Development | 2 | 2 | Life Sciences | 1 | 8 | 4 | Male | 79 | 3 | 1 | Laboratory Technician | 4 | Single | 3068 | 11864 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 8 | 2 | 2 | 7 | 7 | 3 | 6 |
| 6 | 0 | 59 | Travel_Rarely | 1324 | Research & Development | 3 | 3 | Medical | 1 | 10 | 3 | Female | 81 | 4 | 1 | Laboratory Technician | 1 | Married | 2670 | 9964 | 4 | Y | Yes | 20 | 4 | 1 | 80 | 3 | 12 | 3 | 2 | 1 | 0 | 0 | 0 |
| 7 | 0 | 30 | Travel_Rarely | 1358 | Research & Development | 24 | 1 | Life Sciences | 1 | 11 | 4 | Male | 67 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2693 | 13335 | 1 | Y | No | 22 | 4 | 2 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 8 | 0 | 38 | Travel_Frequently | 216 | Research & Development | 23 | 3 | Life Sciences | 1 | 12 | 4 | Male | 44 | 2 | 3 | Manufacturing Director | 3 | Single | 9526 | 8787 | 0 | Y | No | 21 | 4 | 2 | 80 | 0 | 10 | 2 | 3 | 9 | 7 | 1 | 8 |
| 9 | 0 | 36 | Travel_Rarely | 1299 | Research & Development | 27 | 3 | Medical | 1 | 13 | 3 | Male | 94 | 3 | 2 | Healthcare Representative | 3 | Married | 5237 | 16577 | 6 | Y | No | 13 | 3 | 2 | 80 | 2 | 17 | 3 | 2 | 7 | 7 | 7 | 7 |
| 10 | 0 | 35 | Travel_Rarely | 809 | Research & Development | 16 | 3 | Medical | 1 | 14 | 1 | Male | 84 | 4 | 1 | Laboratory Technician | 2 | Married | 2426 | 16479 | 0 | Y | No | 13 | 3 | 3 | 80 | 1 | 6 | 5 | 3 | 5 | 4 | 0 | 3 |
| 11 | 0 | 29 | Travel_Rarely | 153 | Research & Development | 15 | 2 | Life Sciences | 1 | 15 | 4 | Female | 49 | 2 | 2 | Laboratory Technician | 3 | Single | 4193 | 12682 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 9 | 5 | 0 | 8 |
| 12 | 0 | 31 | Travel_Rarely | 670 | Research & Development | 26 | 1 | Life Sciences | 1 | 16 | 1 | Male | 31 | 3 | 1 | Research Scientist | 3 | Divorced | 2911 | 15170 | 1 | Y | No | 17 | 3 | 4 | 80 | 1 | 5 | 1 | 2 | 5 | 2 | 4 | 3 |
| 13 | 0 | 34 | Travel_Rarely | 1346 | Research & Development | 19 | 2 | Medical | 1 | 18 | 2 | Male | 93 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2661 | 8758 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 1 | 2 |
| 14 | 1 | 28 | Travel_Rarely | 103 | Research & Development | 24 | 3 | Life Sciences | 1 | 19 | 3 | Male | 50 | 2 | 1 | Laboratory Technician | 3 | Single | 2028 | 12947 | 5 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 6 | 4 | 3 | 4 | 2 | 0 | 3 |
| 15 | 0 | 29 | Travel_Rarely | 1389 | Research & Development | 21 | 4 | Life Sciences | 1 | 20 | 2 | Female | 51 | 4 | 3 | Manufacturing Director | 1 | Divorced | 9980 | 10195 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 10 | 9 | 8 | 8 |
| 16 | 0 | 32 | Travel_Rarely | 334 | Research & Development | 5 | 2 | Life Sciences | 1 | 21 | 1 | Male | 80 | 4 | 1 | Research Scientist | 2 | Divorced | 3298 | 15053 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 7 | 5 | 2 | 6 | 2 | 0 | 5 |
| 17 | 0 | 22 | Non-Travel | 1123 | Research & Development | 16 | 2 | Medical | 1 | 22 | 4 | Male | 96 | 4 | 1 | Laboratory Technician | 4 | Divorced | 2935 | 7324 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 2 | 1 | 2 | 2 | 1 | 0 | 0 | 0 |
| 18 | 0 | 53 | Travel_Rarely | 1219 | Sales | 2 | 4 | Life Sciences | 1 | 23 | 1 | Female | 78 | 2 | 4 | Manager | 4 | Married | 15427 | 22021 | 2 | Y | No | 16 | 3 | 3 | 80 | 0 | 31 | 3 | 3 | 25 | 8 | 3 | 7 |
| 19 | 0 | 38 | Travel_Rarely | 371 | Research & Development | 2 | 3 | Life Sciences | 1 | 24 | 4 | Male | 45 | 3 | 1 | Research Scientist | 4 | Single | 3944 | 4306 | 5 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 3 | 2 | 1 | 2 |
| 20 | 0 | 24 | Non-Travel | 673 | Research & Development | 11 | 2 | Other | 1 | 26 | 1 | Female | 96 | 4 | 2 | Manufacturing Director | 3 | Divorced | 4011 | 8232 | 0 | Y | No | 18 | 3 | 4 | 80 | 1 | 5 | 5 | 2 | 4 | 2 | 1 | 3 |
| 21 | 1 | 36 | Travel_Rarely | 1218 | Sales | 9 | 4 | Life Sciences | 1 | 27 | 3 | Male | 82 | 2 | 1 | Sales Representative | 1 | Single | 3407 | 6986 | 7 | Y | No | 23 | 4 | 2 | 80 | 0 | 10 | 4 | 3 | 5 | 3 | 0 | 3 |
| 22 | 0 | 34 | Travel_Rarely | 419 | Research & Development | 7 | 4 | Life Sciences | 1 | 28 | 1 | Female | 53 | 3 | 3 | Research Director | 2 | Single | 11994 | 21293 | 0 | Y | No | 11 | 3 | 3 | 80 | 0 | 13 | 4 | 3 | 12 | 6 | 2 | 11 |
| 23 | 0 | 21 | Travel_Rarely | 391 | Research & Development | 15 | 2 | Life Sciences | 1 | 30 | 3 | Male | 96 | 3 | 1 | Research Scientist | 4 | Single | 1232 | 19281 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 0 |
| 24 | 1 | 34 | Travel_Rarely | 699 | Research & Development | 6 | 1 | Medical | 1 | 31 | 2 | Male | 83 | 3 | 1 | Research Scientist | 1 | Single | 2960 | 17102 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 4 | 2 | 1 | 3 |
| 25 | 0 | 53 | Travel_Rarely | 1282 | Research & Development | 5 | 3 | Other | 1 | 32 | 3 | Female | 58 | 3 | 5 | Manager | 3 | Divorced | 19094 | 10735 | 4 | Y | No | 11 | 3 | 4 | 80 | 1 | 26 | 3 | 2 | 14 | 13 | 4 | 8 |
| 26 | 1 | 32 | Travel_Frequently | 1125 | Research & Development | 16 | 1 | Life Sciences | 1 | 33 | 2 | Female | 72 | 1 | 1 | Research Scientist | 1 | Single | 3919 | 4681 | 1 | Y | Yes | 22 | 4 | 2 | 80 | 0 | 10 | 5 | 3 | 10 | 2 | 6 | 7 |
| 27 | 0 | 42 | Travel_Rarely | 691 | Sales | 8 | 4 | Marketing | 1 | 35 | 3 | Male | 48 | 3 | 2 | Sales Executive | 2 | Married | 6825 | 21173 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 9 | 7 | 4 | 2 |
| 28 | 0 | 44 | Travel_Rarely | 477 | Research & Development | 7 | 4 | Medical | 1 | 36 | 1 | Female | 42 | 2 | 3 | Healthcare Representative | 4 | Married | 10248 | 2094 | 3 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 4 | 3 | 22 | 6 | 5 | 17 |
| 29 | 0 | 46 | Travel_Rarely | 705 | Sales | 2 | 4 | Marketing | 1 | 38 | 2 | Female | 83 | 3 | 5 | Manager | 1 | Single | 18947 | 22822 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 22 | 2 | 2 | 2 | 2 | 2 | 1 |
| 30 | 0 | 33 | Travel_Rarely | 924 | Research & Development | 2 | 3 | Medical | 1 | 39 | 3 | Male | 78 | 3 | 1 | Laboratory Technician | 4 | Single | 2496 | 6670 | 4 | Y | No | 11 | 3 | 4 | 80 | 0 | 7 | 3 | 3 | 1 | 1 | 0 | 0 |
| 31 | 0 | 44 | Travel_Rarely | 1459 | Research & Development | 10 | 4 | Other | 1 | 40 | 4 | Male | 41 | 3 | 2 | Healthcare Representative | 4 | Married | 6465 | 19121 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 9 | 5 | 4 | 4 | 2 | 1 | 3 |
| 32 | 0 | 30 | Travel_Rarely | 125 | Research & Development | 9 | 2 | Medical | 1 | 41 | 4 | Male | 83 | 2 | 1 | Laboratory Technician | 3 | Single | 2206 | 16117 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 10 | 5 | 3 | 10 | 0 | 1 | 8 |
| 33 | 1 | 39 | Travel_Rarely | 895 | Sales | 5 | 3 | Technical Degree | 1 | 42 | 4 | Male | 56 | 3 | 2 | Sales Representative | 4 | Married | 2086 | 3335 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 19 | 6 | 4 | 1 | 0 | 0 | 0 |
| 34 | 1 | 24 | Travel_Rarely | 813 | Research & Development | 1 | 3 | Medical | 1 | 45 | 2 | Male | 61 | 3 | 1 | Research Scientist | 4 | Married | 2293 | 3020 | 2 | Y | Yes | 16 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 2 | 0 | 2 | 0 |
| 35 | 0 | 43 | Travel_Rarely | 1273 | Research & Development | 2 | 2 | Medical | 1 | 46 | 4 | Female | 72 | 4 | 1 | Research Scientist | 3 | Divorced | 2645 | 21923 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 6 | 3 | 2 | 5 | 3 | 1 | 4 |
| 36 | 1 | 50 | Travel_Rarely | 869 | Sales | 3 | 2 | Marketing | 1 | 47 | 1 | Male | 86 | 2 | 1 | Sales Representative | 3 | Married | 2683 | 3810 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 3 | 2 | 0 | 2 |
| 37 | 0 | 35 | Travel_Rarely | 890 | Sales | 2 | 3 | Marketing | 1 | 49 | 4 | Female | 97 | 3 | 1 | Sales Representative | 4 | Married | 2014 | 9687 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
| 38 | 0 | 36 | Travel_Rarely | 852 | Research & Development | 5 | 4 | Life Sciences | 1 | 51 | 2 | Female | 82 | 2 | 1 | Research Scientist | 1 | Married | 3419 | 13072 | 9 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 6 | 3 | 4 | 1 | 1 | 0 | 0 |
| 39 | 0 | 33 | Travel_Frequently | 1141 | Sales | 1 | 3 | Life Sciences | 1 | 52 | 3 | Female | 42 | 4 | 2 | Sales Executive | 1 | Married | 5376 | 3193 | 2 | Y | No | 19 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 5 | 3 | 1 | 3 |
| 40 | 0 | 35 | Travel_Rarely | 464 | Research & Development | 4 | 2 | Other | 1 | 53 | 3 | Male | 75 | 3 | 1 | Laboratory Technician | 4 | Divorced | 1951 | 10910 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 41 | 0 | 27 | Travel_Rarely | 1240 | Research & Development | 2 | 4 | Life Sciences | 1 | 54 | 4 | Female | 33 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2341 | 19715 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 1 | 6 | 3 | 1 | 0 | 0 | 0 |
| 42 | 1 | 26 | Travel_Rarely | 1357 | Research & Development | 25 | 3 | Life Sciences | 1 | 55 | 1 | Male | 48 | 1 | 1 | Laboratory Technician | 3 | Single | 2293 | 10558 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 2 | 2 | 1 | 0 | 0 | 1 |
| 43 | 0 | 27 | Travel_Frequently | 994 | Sales | 8 | 3 | Life Sciences | 1 | 56 | 4 | Male | 37 | 3 | 3 | Sales Executive | 3 | Single | 8726 | 2975 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 9 | 0 | 3 | 9 | 8 | 1 | 7 |
| 44 | 0 | 30 | Travel_Frequently | 721 | Research & Development | 1 | 2 | Medical | 1 | 57 | 3 | Female | 58 | 3 | 2 | Laboratory Technician | 4 | Single | 4011 | 10781 | 1 | Y | No | 23 | 4 | 4 | 80 | 0 | 12 | 2 | 3 | 12 | 8 | 3 | 7 |
| 45 | 1 | 41 | Travel_Rarely | 1360 | Research & Development | 12 | 3 | Technical Degree | 1 | 58 | 2 | Female | 49 | 3 | 5 | Research Director | 3 | Married | 19545 | 16280 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 23 | 0 | 3 | 22 | 15 | 15 | 8 |
| 46 | 0 | 34 | Non-Travel | 1065 | Sales | 23 | 4 | Marketing | 1 | 60 | 2 | Male | 72 | 3 | 2 | Sales Executive | 3 | Single | 4568 | 10034 | 0 | Y | No | 20 | 4 | 3 | 80 | 0 | 10 | 2 | 3 | 9 | 5 | 8 | 7 |
| 47 | 0 | 37 | Travel_Rarely | 408 | Research & Development | 19 | 2 | Life Sciences | 1 | 61 | 2 | Male | 73 | 3 | 1 | Research Scientist | 2 | Married | 3022 | 10227 | 4 | Y | No | 21 | 4 | 1 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 0 |
| 48 | 0 | 46 | Travel_Frequently | 1211 | Sales | 5 | 4 | Marketing | 1 | 62 | 1 | Male | 98 | 3 | 2 | Sales Executive | 4 | Single | 5772 | 20445 | 4 | Y | Yes | 21 | 4 | 3 | 80 | 0 | 14 | 4 | 3 | 9 | 6 | 0 | 8 |
| 49 | 0 | 35 | Travel_Rarely | 1229 | Research & Development | 8 | 1 | Life Sciences | 1 | 63 | 4 | Male | 36 | 4 | 1 | Laboratory Technician | 4 | Married | 2269 | 4892 | 1 | Y | No | 19 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 1 |
| 50 | 1 | 48 | Travel_Rarely | 626 | Research & Development | 1 | 2 | Life Sciences | 1 | 64 | 1 | Male | 98 | 2 | 3 | Laboratory Technician | 3 | Single | 5381 | 19294 | 9 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 23 | 2 | 3 | 1 | 0 | 0 | 0 |
| 51 | 1 | 28 | Travel_Rarely | 1434 | Research & Development | 5 | 4 | Technical Degree | 1 | 65 | 3 | Male | 50 | 3 | 1 | Laboratory Technician | 3 | Single | 3441 | 11179 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 2 | 2 |
| 52 | 0 | 44 | Travel_Rarely | 1488 | Sales | 1 | 5 | Marketing | 1 | 68 | 2 | Female | 75 | 3 | 2 | Sales Executive | 1 | Divorced | 5454 | 4009 | 5 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 9 | 2 | 2 | 4 | 3 | 1 | 3 |
| 53 | 0 | 35 | Non-Travel | 1097 | Research & Development | 11 | 2 | Medical | 1 | 70 | 3 | Male | 79 | 2 | 3 | Healthcare Representative | 1 | Married | 9884 | 8302 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 4 | 0 | 2 | 3 |
| 54 | 0 | 26 | Travel_Rarely | 1443 | Sales | 23 | 3 | Marketing | 1 | 72 | 3 | Female | 47 | 2 | 2 | Sales Executive | 4 | Married | 4157 | 21436 | 7 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 5 | 2 | 2 | 2 | 2 | 0 | 0 |
| 55 | 0 | 33 | Travel_Frequently | 515 | Research & Development | 1 | 2 | Life Sciences | 1 | 73 | 1 | Female | 98 | 3 | 3 | Research Director | 4 | Single | 13458 | 15146 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 15 | 1 | 3 | 15 | 14 | 8 | 12 |
| 56 | 0 | 35 | Travel_Frequently | 853 | Sales | 18 | 5 | Life Sciences | 1 | 74 | 2 | Male | 71 | 3 | 3 | Sales Executive | 1 | Married | 9069 | 11031 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 9 | 3 | 2 | 9 | 8 | 1 | 8 |
| 57 | 0 | 35 | Travel_Rarely | 1142 | Research & Development | 23 | 4 | Medical | 1 | 75 | 3 | Female | 30 | 3 | 1 | Laboratory Technician | 1 | Married | 4014 | 16002 | 3 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 2 | 2 | 2 | 2 |
| 58 | 0 | 31 | Travel_Rarely | 655 | Research & Development | 7 | 4 | Life Sciences | 1 | 76 | 4 | Male | 48 | 3 | 2 | Laboratory Technician | 4 | Divorced | 5915 | 9528 | 3 | Y | No | 22 | 4 | 4 | 80 | 1 | 10 | 3 | 2 | 7 | 7 | 1 | 7 |
| 59 | 0 | 37 | Travel_Rarely | 1115 | Research & Development | 1 | 4 | Life Sciences | 1 | 77 | 1 | Male | 51 | 2 | 2 | Manufacturing Director | 3 | Divorced | 5993 | 2689 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 7 | 2 | 4 | 7 | 5 | 0 | 7 |
| 60 | 0 | 32 | Travel_Rarely | 427 | Research & Development | 1 | 3 | Medical | 1 | 78 | 1 | Male | 33 | 3 | 2 | Manufacturing Director | 4 | Married | 6162 | 10877 | 1 | Y | Yes | 22 | 4 | 2 | 80 | 1 | 9 | 3 | 3 | 9 | 8 | 7 | 8 |
| 61 | 0 | 38 | Travel_Frequently | 653 | Research & Development | 29 | 5 | Life Sciences | 1 | 79 | 4 | Female | 50 | 3 | 2 | Laboratory Technician | 4 | Single | 2406 | 5456 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 3 | 9 | 9 |
| 62 | 0 | 50 | Travel_Rarely | 989 | Research & Development | 7 | 2 | Medical | 1 | 80 | 2 | Female | 43 | 2 | 5 | Research Director | 3 | Divorced | 18740 | 16701 | 5 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 29 | 2 | 2 | 27 | 3 | 13 | 8 |
| 63 | 0 | 59 | Travel_Rarely | 1435 | Sales | 25 | 3 | Life Sciences | 1 | 81 | 1 | Female | 99 | 3 | 3 | Sales Executive | 1 | Single | 7637 | 2354 | 7 | Y | No | 11 | 3 | 4 | 80 | 0 | 28 | 3 | 2 | 21 | 16 | 7 | 9 |
| 64 | 0 | 36 | Travel_Rarely | 1223 | Research & Development | 8 | 3 | Technical Degree | 1 | 83 | 3 | Female | 59 | 3 | 3 | Healthcare Representative | 3 | Divorced | 10096 | 8202 | 1 | Y | No | 13 | 3 | 2 | 80 | 3 | 17 | 2 | 3 | 17 | 14 | 12 | 8 |
| 65 | 0 | 55 | Travel_Rarely | 836 | Research & Development | 8 | 3 | Medical | 1 | 84 | 4 | Female | 33 | 3 | 4 | Manager | 3 | Divorced | 14756 | 19730 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 21 | 2 | 3 | 5 | 0 | 0 | 2 |
| 66 | 0 | 36 | Travel_Frequently | 1195 | Research & Development | 11 | 3 | Life Sciences | 1 | 85 | 2 | Male | 95 | 2 | 2 | Manufacturing Director | 2 | Single | 6499 | 22656 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 5 | 0 | 3 |
| 67 | 0 | 45 | Travel_Rarely | 1339 | Research & Development | 7 | 3 | Life Sciences | 1 | 86 | 2 | Male | 59 | 3 | 3 | Research Scientist | 1 | Divorced | 9724 | 18787 | 2 | Y | No | 17 | 3 | 3 | 80 | 1 | 25 | 2 | 3 | 1 | 0 | 0 | 0 |
| 68 | 0 | 35 | Travel_Frequently | 664 | Research & Development | 1 | 3 | Medical | 1 | 88 | 2 | Male | 79 | 3 | 1 | Research Scientist | 1 | Married | 2194 | 5868 | 4 | Y | No | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 2 | 3 | 2 | 1 | 2 |
| 69 | 1 | 36 | Travel_Rarely | 318 | Research & Development | 9 | 3 | Medical | 1 | 90 | 4 | Male | 79 | 2 | 1 | Research Scientist | 3 | Married | 3388 | 21777 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 2 | 0 | 2 | 1 | 0 | 0 | 0 |
| 70 | 0 | 59 | Travel_Frequently | 1225 | Sales | 1 | 1 | Life Sciences | 1 | 91 | 1 | Female | 57 | 2 | 2 | Sales Executive | 3 | Single | 5473 | 24668 | 7 | Y | No | 11 | 3 | 4 | 80 | 0 | 20 | 2 | 2 | 4 | 3 | 1 | 3 |
| 71 | 0 | 29 | Travel_Rarely | 1328 | Research & Development | 2 | 3 | Life Sciences | 1 | 94 | 3 | Male | 76 | 3 | 1 | Research Scientist | 2 | Married | 2703 | 4956 | 0 | Y | No | 23 | 4 | 4 | 80 | 1 | 6 | 3 | 3 | 5 | 4 | 0 | 4 |
| 72 | 0 | 31 | Travel_Rarely | 1082 | Research & Development | 1 | 4 | Medical | 1 | 95 | 3 | Male | 87 | 3 | 1 | Research Scientist | 2 | Single | 2501 | 18775 | 1 | Y | No | 17 | 3 | 2 | 80 | 0 | 1 | 4 | 3 | 1 | 1 | 1 | 0 |
| 73 | 0 | 32 | Travel_Rarely | 548 | Research & Development | 1 | 3 | Life Sciences | 1 | 96 | 2 | Male | 66 | 3 | 2 | Research Scientist | 2 | Married | 6220 | 7346 | 1 | Y | No | 17 | 3 | 2 | 80 | 2 | 10 | 3 | 3 | 10 | 4 | 0 | 9 |
| 74 | 0 | 36 | Travel_Rarely | 132 | Research & Development | 6 | 3 | Life Sciences | 1 | 97 | 2 | Female | 55 | 4 | 1 | Laboratory Technician | 4 | Married | 3038 | 22002 | 3 | Y | No | 12 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 1 | 0 | 0 | 0 |
| 75 | 0 | 31 | Travel_Rarely | 746 | Research & Development | 8 | 4 | Life Sciences | 1 | 98 | 3 | Female | 61 | 3 | 2 | Manufacturing Director | 4 | Single | 4424 | 20682 | 1 | Y | No | 23 | 4 | 4 | 80 | 0 | 11 | 2 | 3 | 11 | 7 | 1 | 8 |
| 76 | 0 | 35 | Travel_Rarely | 776 | Sales | 1 | 4 | Marketing | 1 | 100 | 3 | Male | 32 | 2 | 2 | Sales Executive | 1 | Single | 4312 | 23016 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 16 | 2 | 3 | 15 | 13 | 2 | 8 |
| 77 | 0 | 45 | Travel_Rarely | 193 | Research & Development | 6 | 4 | Other | 1 | 101 | 4 | Male | 52 | 3 | 3 | Research Director | 1 | Married | 13245 | 15067 | 4 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 17 | 3 | 4 | 0 | 0 | 0 | 0 |
| 78 | 0 | 37 | Travel_Rarely | 397 | Research & Development | 7 | 4 | Medical | 1 | 102 | 1 | Male | 30 | 3 | 3 | Research Director | 3 | Single | 13664 | 25258 | 4 | Y | No | 13 | 3 | 1 | 80 | 0 | 16 | 3 | 4 | 5 | 2 | 0 | 2 |
| 79 | 0 | 46 | Travel_Rarely | 945 | Human Resources | 5 | 2 | Medical | 1 | 103 | 2 | Male | 80 | 3 | 2 | Human Resources | 2 | Divorced | 5021 | 10425 | 8 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 16 | 2 | 3 | 4 | 2 | 0 | 2 |
| 80 | 0 | 30 | Travel_Rarely | 852 | Research & Development | 1 | 1 | Life Sciences | 1 | 104 | 4 | Male | 55 | 2 | 2 | Laboratory Technician | 4 | Married | 5126 | 15998 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 10 | 1 | 2 | 10 | 8 | 3 | 0 |
| 81 | 0 | 35 | Travel_Rarely | 1214 | Research & Development | 1 | 3 | Medical | 1 | 105 | 2 | Male | 30 | 2 | 1 | Research Scientist | 3 | Single | 2859 | 26278 | 1 | Y | No | 18 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 6 | 4 | 0 | 4 |
| 82 | 0 | 55 | Travel_Rarely | 111 | Sales | 1 | 2 | Life Sciences | 1 | 106 | 1 | Male | 70 | 3 | 3 | Sales Executive | 4 | Married | 10239 | 18092 | 3 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 4 | 3 | 1 | 0 | 1 | 0 |
| 83 | 0 | 38 | Non-Travel | 573 | Research & Development | 6 | 3 | Medical | 1 | 107 | 2 | Female | 79 | 1 | 2 | Research Scientist | 4 | Divorced | 5329 | 15717 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 3 | 17 | 3 | 3 | 13 | 11 | 1 | 9 |
| 84 | 0 | 34 | Travel_Rarely | 1153 | Research & Development | 1 | 2 | Medical | 1 | 110 | 1 | Male | 94 | 3 | 2 | Manufacturing Director | 2 | Married | 4325 | 17736 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 5 | 2 | 3 | 5 | 2 | 1 | 3 |
| 85 | 0 | 56 | Travel_Rarely | 1400 | Research & Development | 7 | 3 | Life Sciences | 1 | 112 | 4 | Male | 49 | 1 | 3 | Manufacturing Director | 4 | Single | 7260 | 21698 | 4 | Y | No | 11 | 3 | 1 | 80 | 0 | 37 | 3 | 2 | 6 | 4 | 0 | 2 |
| 86 | 0 | 23 | Travel_Rarely | 541 | Sales | 2 | 1 | Technical Degree | 1 | 113 | 3 | Male | 62 | 3 | 1 | Sales Representative | 1 | Divorced | 2322 | 9518 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
| 87 | 0 | 51 | Travel_Rarely | 432 | Research & Development | 9 | 4 | Life Sciences | 1 | 116 | 4 | Male | 96 | 3 | 1 | Laboratory Technician | 4 | Married | 2075 | 18725 | 3 | Y | No | 23 | 4 | 2 | 80 | 2 | 10 | 4 | 3 | 4 | 2 | 0 | 3 |
| 88 | 0 | 30 | Travel_Rarely | 288 | Research & Development | 2 | 3 | Life Sciences | 1 | 117 | 3 | Male | 99 | 2 | 2 | Healthcare Representative | 4 | Married | 4152 | 15830 | 1 | Y | No | 19 | 3 | 1 | 80 | 3 | 11 | 3 | 3 | 11 | 10 | 10 | 8 |
| 89 | 1 | 46 | Travel_Rarely | 669 | Sales | 9 | 2 | Medical | 1 | 118 | 3 | Male | 64 | 2 | 3 | Sales Executive | 4 | Single | 9619 | 13596 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 8 | 4 | 7 |
| 90 | 0 | 40 | Travel_Frequently | 530 | Research & Development | 1 | 4 | Life Sciences | 1 | 119 | 3 | Male | 78 | 2 | 4 | Healthcare Representative | 2 | Married | 13503 | 14115 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 22 | 3 | 2 | 22 | 3 | 11 | 11 |
| 91 | 0 | 51 | Travel_Rarely | 632 | Sales | 21 | 4 | Marketing | 1 | 120 | 3 | Male | 71 | 3 | 2 | Sales Executive | 4 | Single | 5441 | 8423 | 0 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 11 | 2 | 1 | 10 | 7 | 1 | 0 |
| 92 | 0 | 30 | Travel_Rarely | 1334 | Sales | 4 | 2 | Medical | 1 | 121 | 3 | Female | 63 | 2 | 2 | Sales Executive | 2 | Divorced | 5209 | 19760 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 3 | 11 | 4 | 2 | 11 | 8 | 2 | 7 |
| 93 | 0 | 46 | Travel_Frequently | 638 | Research & Development | 1 | 3 | Medical | 1 | 124 | 3 | Male | 40 | 2 | 3 | Healthcare Representative | 1 | Married | 10673 | 3142 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 21 | 5 | 2 | 10 | 9 | 9 | 5 |
| 94 | 0 | 32 | Travel_Rarely | 1093 | Sales | 6 | 4 | Medical | 1 | 125 | 2 | Male | 87 | 3 | 2 | Sales Executive | 3 | Single | 5010 | 24301 | 1 | Y | No | 16 | 3 | 1 | 80 | 0 | 12 | 0 | 3 | 11 | 8 | 5 | 7 |
| 95 | 0 | 54 | Travel_Rarely | 1217 | Research & Development | 2 | 4 | Technical Degree | 1 | 126 | 1 | Female | 60 | 3 | 3 | Research Director | 3 | Married | 13549 | 24001 | 9 | Y | No | 12 | 3 | 1 | 80 | 1 | 16 | 5 | 1 | 4 | 3 | 0 | 3 |
| 96 | 0 | 24 | Travel_Rarely | 1353 | Sales | 3 | 2 | Other | 1 | 128 | 1 | Female | 33 | 3 | 2 | Sales Executive | 3 | Married | 4999 | 17519 | 0 | Y | No | 21 | 4 | 1 | 80 | 1 | 4 | 2 | 2 | 3 | 2 | 0 | 2 |
| 97 | 0 | 28 | Non-Travel | 120 | Sales | 4 | 3 | Medical | 1 | 129 | 2 | Male | 43 | 3 | 2 | Sales Executive | 3 | Married | 4221 | 8863 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 5 | 3 | 4 | 5 | 4 | 0 | 4 |
| 98 | 0 | 58 | Travel_Rarely | 682 | Sales | 10 | 4 | Medical | 1 | 131 | 4 | Male | 37 | 3 | 4 | Sales Executive | 3 | Single | 13872 | 24409 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 38 | 1 | 2 | 37 | 10 | 1 | 8 |
| 99 | 0 | 44 | Non-Travel | 489 | Research & Development | 23 | 3 | Medical | 1 | 132 | 2 | Male | 67 | 3 | 2 | Laboratory Technician | 2 | Married | 2042 | 25043 | 4 | Y | No | 12 | 3 | 3 | 80 | 1 | 17 | 3 | 4 | 3 | 2 | 1 | 2 |
| 100 | 1 | 37 | Travel_Rarely | 807 | Human Resources | 6 | 4 | Human Resources | 1 | 133 | 3 | Male | 63 | 3 | 1 | Human Resources | 1 | Divorced | 2073 | 23648 | 4 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 7 | 3 | 3 | 3 | 2 | 0 | 2 |
| 101 | 0 | 32 | Travel_Rarely | 827 | Research & Development | 1 | 1 | Life Sciences | 1 | 134 | 4 | Male | 71 | 3 | 1 | Research Scientist | 1 | Single | 2956 | 15178 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 102 | 1 | 20 | Travel_Frequently | 871 | Research & Development | 6 | 3 | Life Sciences | 1 | 137 | 4 | Female | 66 | 2 | 1 | Laboratory Technician | 4 | Single | 2926 | 19783 | 1 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 1 | 0 |
| 103 | 0 | 34 | Travel_Rarely | 665 | Research & Development | 6 | 4 | Other | 1 | 138 | 1 | Female | 41 | 3 | 2 | Research Scientist | 3 | Single | 4809 | 12482 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 16 | 3 | 3 | 16 | 13 | 2 | 10 |
| 104 | 0 | 37 | Non-Travel | 1040 | Research & Development | 2 | 2 | Life Sciences | 1 | 139 | 3 | Male | 100 | 2 | 2 | Healthcare Representative | 4 | Divorced | 5163 | 15850 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 17 | 2 | 4 | 1 | 0 | 0 | 0 |
| 105 | 0 | 59 | Non-Travel | 1420 | Human Resources | 2 | 4 | Human Resources | 1 | 140 | 3 | Female | 32 | 2 | 5 | Manager | 4 | Married | 18844 | 21922 | 9 | Y | No | 21 | 4 | 4 | 80 | 1 | 30 | 3 | 3 | 3 | 2 | 2 | 2 |
| 106 | 0 | 50 | Travel_Frequently | 1115 | Research & Development | 1 | 3 | Life Sciences | 1 | 141 | 1 | Female | 73 | 3 | 5 | Research Director | 2 | Married | 18172 | 9755 | 3 | Y | Yes | 19 | 3 | 1 | 80 | 0 | 28 | 1 | 2 | 8 | 3 | 0 | 7 |
| 107 | 1 | 25 | Travel_Rarely | 240 | Sales | 5 | 3 | Marketing | 1 | 142 | 3 | Male | 46 | 2 | 2 | Sales Executive | 3 | Single | 5744 | 26959 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 1 | 3 | 6 | 4 | 0 | 3 |
| 108 | 0 | 25 | Travel_Rarely | 1280 | Research & Development | 7 | 1 | Medical | 1 | 143 | 4 | Male | 64 | 2 | 1 | Research Scientist | 4 | Married | 2889 | 26897 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 1 |
| 109 | 0 | 22 | Travel_Rarely | 534 | Research & Development | 15 | 3 | Medical | 1 | 144 | 2 | Female | 59 | 3 | 1 | Laboratory Technician | 4 | Single | 2871 | 23785 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 1 | 5 | 3 | 0 | 0 | 0 | 0 |
| 110 | 0 | 51 | Travel_Frequently | 1456 | Research & Development | 1 | 4 | Medical | 1 | 145 | 1 | Female | 30 | 2 | 3 | Healthcare Representative | 1 | Single | 7484 | 25796 | 3 | Y | No | 20 | 4 | 3 | 80 | 0 | 23 | 1 | 2 | 13 | 12 | 12 | 8 |
| 111 | 1 | 34 | Travel_Frequently | 658 | Research & Development | 7 | 3 | Life Sciences | 1 | 147 | 1 | Male | 66 | 1 | 2 | Laboratory Technician | 3 | Single | 6074 | 22887 | 1 | Y | Yes | 24 | 4 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 7 | 0 | 6 |
| 112 | 0 | 54 | Non-Travel | 142 | Human Resources | 26 | 3 | Human Resources | 1 | 148 | 4 | Female | 30 | 4 | 4 | Manager | 4 | Single | 17328 | 13871 | 2 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 23 | 3 | 3 | 5 | 3 | 4 | 4 |
| 113 | 0 | 24 | Travel_Rarely | 1127 | Research & Development | 18 | 1 | Life Sciences | 1 | 150 | 2 | Male | 52 | 3 | 1 | Laboratory Technician | 3 | Married | 2774 | 13257 | 0 | Y | No | 12 | 3 | 3 | 80 | 1 | 6 | 2 | 3 | 5 | 3 | 1 | 2 |
| 114 | 0 | 34 | Travel_Rarely | 1031 | Research & Development | 6 | 4 | Life Sciences | 1 | 151 | 3 | Female | 45 | 2 | 2 | Research Scientist | 2 | Divorced | 4505 | 15000 | 6 | Y | No | 15 | 3 | 3 | 80 | 1 | 12 | 3 | 3 | 1 | 0 | 0 | 0 |
| 115 | 0 | 37 | Travel_Rarely | 1189 | Sales | 3 | 3 | Life Sciences | 1 | 152 | 3 | Male | 87 | 3 | 3 | Sales Executive | 4 | Single | 7428 | 14506 | 2 | Y | No | 12 | 3 | 1 | 80 | 0 | 12 | 3 | 3 | 5 | 3 | 1 | 3 |
| 116 | 0 | 34 | Travel_Rarely | 1354 | Research & Development | 5 | 3 | Medical | 1 | 153 | 3 | Female | 45 | 2 | 3 | Manager | 1 | Single | 11631 | 5615 | 2 | Y | No | 12 | 3 | 4 | 80 | 0 | 14 | 6 | 3 | 11 | 10 | 5 | 8 |
| 117 | 0 | 36 | Travel_Frequently | 1467 | Sales | 11 | 2 | Technical Degree | 1 | 154 | 2 | Female | 92 | 3 | 3 | Sales Executive | 4 | Married | 9738 | 22952 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 10 | 6 | 3 | 9 | 7 | 2 | 8 |
| 118 | 0 | 36 | Travel_Rarely | 922 | Research & Development | 3 | 2 | Life Sciences | 1 | 155 | 1 | Female | 39 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2835 | 2561 | 5 | Y | No | 22 | 4 | 1 | 80 | 1 | 7 | 2 | 3 | 1 | 0 | 0 | 0 |
| 119 | 0 | 43 | Travel_Frequently | 394 | Sales | 26 | 2 | Life Sciences | 1 | 158 | 3 | Male | 92 | 3 | 4 | Manager | 4 | Married | 16959 | 19494 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 25 | 3 | 4 | 25 | 12 | 4 | 12 |
| 120 | 0 | 30 | Travel_Frequently | 1312 | Research & Development | 23 | 3 | Life Sciences | 1 | 159 | 1 | Male | 96 | 1 | 1 | Research Scientist | 3 | Divorced | 2613 | 22310 | 1 | Y | No | 25 | 4 | 3 | 80 | 3 | 10 | 2 | 2 | 10 | 7 | 0 | 9 |
| 121 | 0 | 33 | Non-Travel | 750 | Sales | 22 | 2 | Marketing | 1 | 160 | 3 | Male | 95 | 3 | 2 | Sales Executive | 2 | Married | 6146 | 15480 | 0 | Y | No | 13 | 3 | 1 | 80 | 1 | 8 | 2 | 4 | 7 | 7 | 0 | 7 |
| 122 | 1 | 56 | Travel_Rarely | 441 | Research & Development | 14 | 4 | Life Sciences | 1 | 161 | 2 | Female | 72 | 3 | 1 | Research Scientist | 2 | Married | 4963 | 4510 | 9 | Y | Yes | 18 | 3 | 1 | 80 | 3 | 7 | 2 | 3 | 5 | 4 | 4 | 3 |
| 123 | 0 | 51 | Travel_Rarely | 684 | Research & Development | 6 | 3 | Life Sciences | 1 | 162 | 1 | Male | 51 | 3 | 5 | Research Director | 3 | Single | 19537 | 6462 | 7 | Y | No | 13 | 3 | 3 | 80 | 0 | 23 | 5 | 3 | 20 | 18 | 15 | 15 |
| 124 | 1 | 31 | Travel_Rarely | 249 | Sales | 6 | 4 | Life Sciences | 1 | 163 | 2 | Male | 76 | 1 | 2 | Sales Executive | 3 | Married | 6172 | 20739 | 4 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 12 | 3 | 2 | 7 | 7 | 7 | 7 |
| 125 | 0 | 26 | Travel_Rarely | 841 | Research & Development | 6 | 3 | Other | 1 | 164 | 3 | Female | 46 | 2 | 1 | Research Scientist | 2 | Married | 2368 | 23300 | 1 | Y | No | 19 | 3 | 3 | 80 | 0 | 5 | 3 | 2 | 5 | 4 | 4 | 3 |
| 126 | 1 | 58 | Travel_Rarely | 147 | Research & Development | 23 | 4 | Medical | 1 | 165 | 4 | Female | 94 | 3 | 3 | Healthcare Representative | 4 | Married | 10312 | 3465 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 40 | 3 | 2 | 40 | 10 | 15 | 6 |
| 127 | 1 | 19 | Travel_Rarely | 528 | Sales | 22 | 1 | Marketing | 1 | 167 | 4 | Male | 50 | 3 | 1 | Sales Representative | 3 | Single | 1675 | 26820 | 1 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 |
| 128 | 0 | 22 | Travel_Rarely | 594 | Research & Development | 2 | 1 | Technical Degree | 1 | 169 | 3 | Male | 100 | 3 | 1 | Laboratory Technician | 4 | Married | 2523 | 19299 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 2 | 1 | 2 | 1 |
| 129 | 0 | 49 | Travel_Rarely | 470 | Research & Development | 20 | 4 | Medical | 1 | 170 | 3 | Female | 96 | 3 | 2 | Manufacturing Director | 1 | Married | 6567 | 5549 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 16 | 2 | 2 | 15 | 11 | 5 | 11 |
| 130 | 0 | 43 | Travel_Frequently | 957 | Research & Development | 28 | 3 | Medical | 1 | 171 | 2 | Female | 72 | 4 | 1 | Research Scientist | 3 | Single | 4739 | 16090 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 3 | 2 | 1 | 2 |
| 131 | 0 | 50 | Travel_Frequently | 809 | Sales | 12 | 3 | Marketing | 1 | 174 | 3 | Female | 77 | 3 | 3 | Sales Executive | 4 | Single | 9208 | 6645 | 4 | Y | No | 11 | 3 | 4 | 80 | 0 | 16 | 3 | 3 | 2 | 2 | 2 | 1 |
| 132 | 1 | 31 | Travel_Rarely | 542 | Sales | 20 | 3 | Life Sciences | 1 | 175 | 2 | Female | 71 | 1 | 2 | Sales Executive | 3 | Married | 4559 | 24788 | 3 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
| 133 | 0 | 41 | Travel_Rarely | 802 | Sales | 9 | 1 | Life Sciences | 1 | 176 | 3 | Male | 96 | 3 | 3 | Sales Executive | 3 | Divorced | 8189 | 21196 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 12 | 2 | 3 | 9 | 7 | 0 | 7 |
| 134 | 0 | 26 | Travel_Rarely | 1355 | Human Resources | 25 | 1 | Life Sciences | 1 | 177 | 3 | Female | 61 | 3 | 1 | Human Resources | 3 | Married | 2942 | 8916 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 5 | 7 |
| 135 | 0 | 36 | Travel_Rarely | 216 | Research & Development | 6 | 2 | Medical | 1 | 178 | 2 | Male | 84 | 3 | 2 | Manufacturing Director | 2 | Divorced | 4941 | 2819 | 6 | Y | No | 20 | 4 | 4 | 80 | 2 | 7 | 0 | 3 | 3 | 2 | 0 | 1 |
| 136 | 1 | 51 | Travel_Frequently | 1150 | Research & Development | 8 | 4 | Life Sciences | 1 | 179 | 1 | Male | 53 | 1 | 3 | Manufacturing Director | 4 | Single | 10650 | 25150 | 2 | Y | No | 15 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 4 | 2 | 0 | 3 |
| 137 | 0 | 39 | Travel_Rarely | 1329 | Sales | 4 | 4 | Life Sciences | 1 | 182 | 4 | Female | 47 | 2 | 2 | Sales Executive | 3 | Married | 5902 | 14590 | 4 | Y | No | 14 | 3 | 3 | 80 | 1 | 17 | 1 | 4 | 15 | 11 | 5 | 9 |
| 138 | 0 | 25 | Travel_Rarely | 959 | Sales | 28 | 3 | Life Sciences | 1 | 183 | 1 | Male | 41 | 2 | 2 | Sales Executive | 3 | Married | 8639 | 24835 | 2 | Y | No | 18 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 139 | 0 | 30 | Travel_Rarely | 1240 | Human Resources | 9 | 3 | Human Resources | 1 | 184 | 3 | Male | 48 | 3 | 2 | Human Resources | 4 | Married | 6347 | 13982 | 0 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 12 | 2 | 1 | 11 | 9 | 4 | 7 |
| 140 | 1 | 32 | Travel_Rarely | 1033 | Research & Development | 9 | 3 | Medical | 1 | 190 | 1 | Female | 41 | 3 | 1 | Laboratory Technician | 1 | Single | 4200 | 10224 | 7 | Y | No | 22 | 4 | 1 | 80 | 0 | 10 | 2 | 4 | 5 | 4 | 0 | 4 |
| 141 | 0 | 45 | Travel_Rarely | 1316 | Research & Development | 29 | 3 | Medical | 1 | 192 | 3 | Male | 83 | 3 | 1 | Research Scientist | 4 | Single | 3452 | 9752 | 5 | Y | No | 13 | 3 | 2 | 80 | 0 | 9 | 2 | 2 | 6 | 5 | 0 | 3 |
| 142 | 0 | 38 | Travel_Rarely | 364 | Research & Development | 3 | 5 | Technical Degree | 1 | 193 | 4 | Female | 32 | 3 | 2 | Research Scientist | 3 | Single | 4317 | 2302 | 3 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 19 | 2 | 3 | 3 | 2 | 2 | 2 |
| 143 | 0 | 30 | Travel_Rarely | 438 | Research & Development | 18 | 3 | Life Sciences | 1 | 194 | 1 | Female | 75 | 3 | 1 | Research Scientist | 3 | Single | 2632 | 23910 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 5 | 4 | 2 | 5 | 4 | 0 | 4 |
| 144 | 0 | 32 | Travel_Frequently | 689 | Sales | 9 | 2 | Medical | 1 | 195 | 4 | Male | 35 | 1 | 2 | Sales Executive | 4 | Divorced | 4668 | 22812 | 0 | Y | No | 17 | 3 | 4 | 80 | 3 | 9 | 2 | 4 | 8 | 7 | 0 | 7 |
| 145 | 0 | 30 | Travel_Rarely | 201 | Research & Development | 5 | 3 | Technical Degree | 1 | 197 | 4 | Female | 84 | 3 | 1 | Research Scientist | 1 | Divorced | 3204 | 10415 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 8 | 3 | 3 | 3 | 2 | 2 | 2 |
| 146 | 0 | 30 | Travel_Rarely | 1427 | Research & Development | 2 | 1 | Medical | 1 | 198 | 2 | Male | 35 | 2 | 1 | Laboratory Technician | 4 | Single | 2720 | 11162 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 5 | 3 | 1 | 2 |
| 147 | 0 | 41 | Travel_Frequently | 857 | Research & Development | 10 | 3 | Life Sciences | 1 | 199 | 4 | Male | 91 | 2 | 4 | Manager | 1 | Divorced | 17181 | 12888 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 21 | 2 | 2 | 7 | 6 | 7 | 7 |
| 148 | 0 | 41 | Travel_Rarely | 933 | Research & Development | 9 | 4 | Life Sciences | 1 | 200 | 3 | Male | 94 | 3 | 1 | Laboratory Technician | 1 | Married | 2238 | 6961 | 2 | Y | No | 21 | 4 | 4 | 80 | 1 | 7 | 2 | 3 | 5 | 0 | 1 | 4 |
| 149 | 0 | 19 | Travel_Rarely | 1181 | Research & Development | 3 | 1 | Medical | 1 | 201 | 2 | Female | 79 | 3 | 1 | Laboratory Technician | 2 | Single | 1483 | 16102 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 150 | 0 | 40 | Travel_Frequently | 1395 | Research & Development | 26 | 3 | Medical | 1 | 202 | 2 | Female | 54 | 3 | 2 | Research Scientist | 2 | Divorced | 5605 | 8504 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 20 | 2 | 3 | 20 | 7 | 2 | 13 |
| 151 | 0 | 35 | Travel_Rarely | 662 | Sales | 1 | 5 | Marketing | 1 | 204 | 3 | Male | 94 | 3 | 3 | Sales Executive | 2 | Married | 7295 | 11439 | 1 | Y | No | 13 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 10 | 8 | 0 | 6 |
| 152 | 0 | 53 | Travel_Rarely | 1436 | Sales | 6 | 2 | Marketing | 1 | 205 | 2 | Male | 34 | 3 | 2 | Sales Representative | 3 | Married | 2306 | 16047 | 2 | Y | Yes | 20 | 4 | 4 | 80 | 1 | 13 | 3 | 1 | 7 | 7 | 4 | 5 |
| 153 | 0 | 45 | Travel_Rarely | 194 | Research & Development | 9 | 3 | Life Sciences | 1 | 206 | 2 | Male | 60 | 3 | 2 | Laboratory Technician | 2 | Divorced | 2348 | 10901 | 8 | Y | No | 18 | 3 | 3 | 80 | 1 | 20 | 2 | 1 | 17 | 9 | 0 | 15 |
| 154 | 0 | 32 | Travel_Frequently | 967 | Sales | 8 | 3 | Marketing | 1 | 207 | 2 | Female | 43 | 3 | 3 | Sales Executive | 4 | Single | 8998 | 15589 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 9 | 2 | 3 | 9 | 8 | 3 | 7 |
| 155 | 0 | 29 | Non-Travel | 1496 | Research & Development | 1 | 1 | Technical Degree | 1 | 208 | 4 | Male | 41 | 3 | 2 | Manufacturing Director | 3 | Married | 4319 | 26283 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 1 | 3 | 10 | 7 | 0 | 9 |
| 156 | 0 | 51 | Travel_Rarely | 1169 | Research & Development | 7 | 4 | Medical | 1 | 211 | 2 | Male | 34 | 2 | 2 | Manufacturing Director | 3 | Married | 6132 | 13983 | 2 | Y | No | 17 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 1 | 0 | 0 | 0 |
| 157 | 0 | 58 | Travel_Rarely | 1145 | Research & Development | 9 | 3 | Medical | 1 | 214 | 2 | Female | 75 | 2 | 1 | Research Scientist | 2 | Married | 3346 | 11873 | 4 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 9 | 3 | 2 | 1 | 0 | 0 | 0 |
| 158 | 0 | 40 | Travel_Rarely | 630 | Sales | 4 | 4 | Marketing | 1 | 215 | 3 | Male | 67 | 2 | 3 | Sales Executive | 4 | Married | 10855 | 8552 | 7 | Y | No | 11 | 3 | 1 | 80 | 1 | 15 | 2 | 2 | 12 | 11 | 2 | 11 |
| 159 | 0 | 34 | Travel_Frequently | 303 | Sales | 2 | 4 | Marketing | 1 | 216 | 3 | Female | 75 | 3 | 1 | Sales Representative | 3 | Married | 2231 | 11314 | 6 | Y | No | 18 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 4 | 3 | 1 | 2 |
| 160 | 0 | 22 | Travel_Rarely | 1256 | Research & Development | 19 | 1 | Medical | 1 | 217 | 3 | Male | 80 | 3 | 1 | Research Scientist | 4 | Married | 2323 | 11992 | 1 | Y | No | 24 | 4 | 1 | 80 | 2 | 2 | 6 | 3 | 2 | 2 | 2 | 2 |
| 161 | 0 | 27 | Non-Travel | 691 | Research & Development | 9 | 3 | Medical | 1 | 218 | 4 | Male | 57 | 3 | 1 | Research Scientist | 2 | Divorced | 2024 | 5970 | 6 | Y | No | 18 | 3 | 4 | 80 | 1 | 6 | 1 | 1 | 2 | 2 | 2 | 2 |
| 162 | 0 | 28 | Travel_Rarely | 440 | Research & Development | 21 | 3 | Medical | 1 | 221 | 3 | Male | 42 | 3 | 1 | Research Scientist | 4 | Married | 2713 | 6672 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 2 | 1 | 5 | 2 | 0 | 2 |
| 163 | 0 | 57 | Travel_Rarely | 334 | Research & Development | 24 | 2 | Life Sciences | 1 | 223 | 3 | Male | 83 | 4 | 3 | Healthcare Representative | 4 | Divorced | 9439 | 23402 | 3 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 12 | 2 | 1 | 5 | 3 | 1 | 4 |
| 164 | 0 | 27 | Non-Travel | 1450 | Research & Development | 3 | 3 | Medical | 1 | 224 | 3 | Male | 79 | 2 | 1 | Research Scientist | 3 | Divorced | 2566 | 25326 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 1 | 2 | 2 | 1 | 1 | 0 | 1 |
| 165 | 0 | 50 | Travel_Rarely | 1452 | Research & Development | 11 | 3 | Life Sciences | 1 | 226 | 3 | Female | 53 | 3 | 5 | Manager | 2 | Single | 19926 | 17053 | 3 | Y | No | 15 | 3 | 2 | 80 | 0 | 21 | 5 | 3 | 5 | 4 | 4 | 4 |
| 166 | 0 | 41 | Travel_Rarely | 465 | Research & Development | 14 | 3 | Life Sciences | 1 | 227 | 1 | Male | 56 | 3 | 1 | Research Scientist | 3 | Divorced | 2451 | 4609 | 4 | Y | No | 12 | 3 | 1 | 80 | 1 | 13 | 2 | 3 | 9 | 8 | 1 | 8 |
| 167 | 0 | 30 | Travel_Rarely | 1339 | Sales | 5 | 3 | Life Sciences | 1 | 228 | 2 | Female | 41 | 3 | 3 | Sales Executive | 4 | Married | 9419 | 8053 | 2 | Y | No | 12 | 3 | 3 | 80 | 1 | 12 | 2 | 3 | 10 | 9 | 7 | 4 |
| 168 | 0 | 38 | Travel_Rarely | 702 | Sales | 1 | 4 | Life Sciences | 1 | 230 | 1 | Female | 59 | 2 | 2 | Sales Executive | 4 | Single | 8686 | 12930 | 4 | Y | No | 22 | 4 | 3 | 80 | 0 | 12 | 2 | 4 | 8 | 3 | 0 | 7 |
| 169 | 0 | 32 | Travel_Rarely | 120 | Research & Development | 6 | 5 | Life Sciences | 1 | 231 | 3 | Male | 43 | 3 | 1 | Research Scientist | 3 | Single | 3038 | 12430 | 3 | Y | No | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 5 | 4 | 1 | 4 |
| 170 | 0 | 27 | Travel_Rarely | 1157 | Research & Development | 17 | 3 | Technical Degree | 1 | 233 | 3 | Male | 51 | 3 | 1 | Research Scientist | 2 | Married | 3058 | 13364 | 0 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 3 | 2 | 5 | 2 | 1 | 1 |
| 171 | 1 | 19 | Travel_Frequently | 602 | Sales | 1 | 1 | Technical Degree | 1 | 235 | 3 | Female | 100 | 1 | 1 | Sales Representative | 1 | Single | 2325 | 20989 | 0 | Y | No | 21 | 4 | 1 | 80 | 0 | 1 | 5 | 4 | 0 | 0 | 0 | 0 |
| 172 | 0 | 36 | Travel_Frequently | 1480 | Research & Development | 3 | 2 | Medical | 1 | 238 | 4 | Male | 30 | 3 | 1 | Laboratory Technician | 2 | Single | 2088 | 15062 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 13 | 3 | 2 | 8 | 7 | 7 | 2 |
| 173 | 0 | 30 | Non-Travel | 111 | Research & Development | 9 | 3 | Medical | 1 | 239 | 3 | Male | 66 | 3 | 2 | Laboratory Technician | 1 | Divorced | 3072 | 11012 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 12 | 4 | 3 | 12 | 9 | 6 | 10 |
| 174 | 0 | 45 | Travel_Rarely | 1268 | Sales | 4 | 2 | Life Sciences | 1 | 240 | 3 | Female | 30 | 3 | 2 | Sales Executive | 1 | Divorced | 5006 | 6319 | 4 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 9 | 3 | 4 | 5 | 4 | 0 | 3 |
| 175 | 0 | 56 | Travel_Rarely | 713 | Research & Development | 8 | 3 | Life Sciences | 1 | 241 | 3 | Female | 67 | 3 | 1 | Research Scientist | 1 | Divorced | 4257 | 13939 | 4 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 19 | 3 | 3 | 2 | 2 | 2 | 2 |
| 176 | 0 | 33 | Travel_Rarely | 134 | Research & Development | 2 | 3 | Life Sciences | 1 | 242 | 3 | Male | 90 | 3 | 1 | Research Scientist | 4 | Single | 2500 | 10515 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 2 | 4 | 3 | 1 | 0 | 2 |
| 177 | 1 | 19 | Travel_Rarely | 303 | Research & Development | 2 | 3 | Life Sciences | 1 | 243 | 2 | Male | 47 | 2 | 1 | Laboratory Technician | 4 | Single | 1102 | 9241 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
| 178 | 0 | 46 | Travel_Rarely | 526 | Sales | 1 | 2 | Marketing | 1 | 244 | 2 | Female | 92 | 3 | 3 | Sales Executive | 1 | Divorced | 10453 | 2137 | 1 | Y | No | 25 | 4 | 3 | 80 | 3 | 24 | 2 | 3 | 24 | 13 | 15 | 7 |
| 179 | 0 | 38 | Travel_Rarely | 1380 | Research & Development | 9 | 2 | Life Sciences | 1 | 245 | 3 | Female | 75 | 3 | 1 | Laboratory Technician | 4 | Single | 2288 | 6319 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 1 |
| 180 | 0 | 31 | Travel_Rarely | 140 | Research & Development | 12 | 1 | Medical | 1 | 246 | 3 | Female | 95 | 3 | 1 | Research Scientist | 4 | Married | 3929 | 6984 | 8 | Y | Yes | 23 | 4 | 3 | 80 | 1 | 7 | 0 | 3 | 4 | 2 | 0 | 2 |
| 181 | 0 | 34 | Travel_Rarely | 629 | Research & Development | 27 | 2 | Medical | 1 | 247 | 4 | Female | 95 | 3 | 1 | Research Scientist | 2 | Single | 2311 | 5711 | 2 | Y | No | 15 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 3 | 2 | 1 | 2 |
| 182 | 1 | 41 | Travel_Rarely | 1356 | Sales | 20 | 2 | Marketing | 1 | 248 | 2 | Female | 70 | 3 | 1 | Sales Representative | 2 | Single | 3140 | 21728 | 1 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 4 | 5 | 2 | 4 | 3 | 0 | 2 |
| 183 | 0 | 50 | Travel_Rarely | 328 | Research & Development | 1 | 3 | Medical | 1 | 249 | 3 | Male | 86 | 2 | 1 | Laboratory Technician | 3 | Married | 3690 | 3425 | 2 | Y | No | 15 | 3 | 4 | 80 | 1 | 5 | 2 | 2 | 3 | 2 | 0 | 2 |
| 184 | 0 | 53 | Travel_Rarely | 1084 | Research & Development | 13 | 2 | Medical | 1 | 250 | 4 | Female | 57 | 4 | 2 | Manufacturing Director | 1 | Divorced | 4450 | 26250 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 5 | 3 | 3 | 4 | 2 | 1 | 3 |
| 185 | 0 | 33 | Travel_Rarely | 931 | Research & Development | 14 | 3 | Medical | 1 | 252 | 4 | Female | 72 | 3 | 1 | Research Scientist | 2 | Married | 2756 | 4673 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 8 | 5 | 3 | 8 | 7 | 1 | 6 |
| 186 | 0 | 40 | Travel_Rarely | 989 | Research & Development | 4 | 1 | Medical | 1 | 253 | 4 | Female | 46 | 3 | 5 | Manager | 3 | Married | 19033 | 6499 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 21 | 2 | 3 | 20 | 8 | 9 | 9 |
| 187 | 0 | 55 | Travel_Rarely | 692 | Research & Development | 14 | 4 | Medical | 1 | 254 | 3 | Male | 61 | 4 | 5 | Research Director | 2 | Single | 18722 | 13339 | 8 | Y | No | 11 | 3 | 4 | 80 | 0 | 36 | 3 | 3 | 24 | 15 | 2 | 15 |
| 188 | 0 | 34 | Travel_Frequently | 1069 | Research & Development | 2 | 1 | Life Sciences | 1 | 256 | 4 | Male | 45 | 2 | 2 | Manufacturing Director | 3 | Married | 9547 | 14074 | 1 | Y | No | 17 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 9 | 1 | 9 |
| 189 | 0 | 51 | Travel_Rarely | 313 | Research & Development | 3 | 3 | Medical | 1 | 258 | 4 | Female | 98 | 3 | 4 | Healthcare Representative | 2 | Single | 13734 | 7192 | 3 | Y | No | 18 | 3 | 3 | 80 | 0 | 21 | 6 | 3 | 7 | 7 | 1 | 0 |
| 190 | 0 | 52 | Travel_Rarely | 699 | Research & Development | 1 | 4 | Life Sciences | 1 | 259 | 3 | Male | 65 | 2 | 5 | Manager | 3 | Married | 19999 | 5678 | 0 | Y | No | 14 | 3 | 1 | 80 | 1 | 34 | 5 | 3 | 33 | 18 | 11 | 9 |
| 191 | 0 | 27 | Travel_Rarely | 894 | Research & Development | 9 | 3 | Medical | 1 | 260 | 4 | Female | 99 | 3 | 1 | Research Scientist | 2 | Single | 2279 | 11781 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 7 | 2 | 2 | 7 | 7 | 0 | 3 |
| 192 | 1 | 35 | Travel_Rarely | 556 | Research & Development | 23 | 2 | Life Sciences | 1 | 261 | 2 | Male | 50 | 2 | 2 | Manufacturing Director | 3 | Married | 5916 | 15497 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 1 |
| 193 | 0 | 43 | Non-Travel | 1344 | Research & Development | 7 | 3 | Medical | 1 | 262 | 4 | Male | 37 | 4 | 1 | Research Scientist | 4 | Divorced | 2089 | 5228 | 4 | Y | No | 14 | 3 | 4 | 80 | 3 | 7 | 3 | 4 | 5 | 4 | 2 | 2 |
| 194 | 0 | 45 | Non-Travel | 1195 | Research & Development | 2 | 2 | Medical | 1 | 264 | 1 | Male | 65 | 2 | 4 | Manager | 4 | Married | 16792 | 20462 | 9 | Y | No | 23 | 4 | 4 | 80 | 1 | 22 | 1 | 3 | 20 | 8 | 11 | 8 |
| 195 | 0 | 37 | Travel_Rarely | 290 | Research & Development | 21 | 3 | Life Sciences | 1 | 267 | 2 | Male | 65 | 4 | 1 | Research Scientist | 1 | Married | 3564 | 22977 | 1 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 8 | 3 | 2 | 8 | 7 | 1 | 7 |
| 196 | 0 | 35 | Travel_Frequently | 138 | Research & Development | 2 | 3 | Medical | 1 | 269 | 2 | Female | 37 | 3 | 2 | Laboratory Technician | 2 | Single | 4425 | 15986 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 5 | 3 | 6 | 2 | 1 | 2 |
| 197 | 0 | 42 | Non-Travel | 926 | Research & Development | 21 | 2 | Medical | 1 | 270 | 3 | Female | 36 | 3 | 2 | Manufacturing Director | 3 | Divorced | 5265 | 16439 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 11 | 5 | 3 | 5 | 3 | 0 | 2 |
| 198 | 0 | 38 | Travel_Rarely | 1261 | Research & Development | 2 | 4 | Life Sciences | 1 | 271 | 4 | Male | 88 | 3 | 2 | Manufacturing Director | 3 | Married | 6553 | 7259 | 9 | Y | No | 14 | 3 | 2 | 80 | 0 | 14 | 3 | 3 | 1 | 0 | 0 | 0 |
| 199 | 0 | 38 | Travel_Rarely | 1084 | Research & Development | 29 | 3 | Technical Degree | 1 | 273 | 4 | Male | 54 | 3 | 2 | Manufacturing Director | 4 | Married | 6261 | 4185 | 3 | Y | No | 18 | 3 | 1 | 80 | 1 | 9 | 3 | 1 | 7 | 7 | 1 | 7 |
| 200 | 0 | 27 | Travel_Frequently | 472 | Research & Development | 1 | 1 | Technical Degree | 1 | 274 | 3 | Male | 60 | 2 | 2 | Manufacturing Director | 1 | Married | 4298 | 9679 | 5 | Y | No | 19 | 3 | 3 | 80 | 1 | 6 | 1 | 3 | 2 | 2 | 2 | 0 |
| 201 | 0 | 49 | Non-Travel | 1002 | Research & Development | 18 | 4 | Life Sciences | 1 | 275 | 4 | Male | 92 | 3 | 2 | Manufacturing Director | 4 | Divorced | 6804 | 23793 | 1 | Y | Yes | 15 | 3 | 1 | 80 | 2 | 7 | 0 | 3 | 7 | 7 | 1 | 7 |
| 202 | 0 | 34 | Travel_Frequently | 878 | Research & Development | 10 | 4 | Medical | 1 | 277 | 4 | Male | 43 | 3 | 1 | Research Scientist | 3 | Divorced | 3815 | 5972 | 1 | Y | Yes | 17 | 3 | 4 | 80 | 1 | 5 | 4 | 4 | 5 | 3 | 2 | 0 |
| 203 | 0 | 40 | Travel_Rarely | 905 | Research & Development | 19 | 2 | Medical | 1 | 281 | 3 | Male | 99 | 3 | 2 | Laboratory Technician | 4 | Married | 2741 | 16523 | 8 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 15 | 2 | 4 | 7 | 2 | 3 | 7 |
| 204 | 1 | 38 | Travel_Rarely | 1180 | Research & Development | 29 | 1 | Medical | 1 | 282 | 2 | Male | 70 | 3 | 2 | Healthcare Representative | 1 | Married | 6673 | 11354 | 7 | Y | Yes | 19 | 3 | 2 | 80 | 0 | 17 | 2 | 3 | 1 | 0 | 0 | 0 |
| 205 | 1 | 29 | Travel_Rarely | 121 | Sales | 27 | 3 | Marketing | 1 | 283 | 2 | Female | 35 | 3 | 3 | Sales Executive | 4 | Married | 7639 | 24525 | 1 | Y | No | 22 | 4 | 4 | 80 | 3 | 10 | 3 | 2 | 10 | 4 | 1 | 9 |
| 206 | 0 | 22 | Travel_Rarely | 1136 | Research & Development | 5 | 3 | Life Sciences | 1 | 284 | 4 | Male | 60 | 4 | 1 | Research Scientist | 2 | Divorced | 2328 | 12392 | 1 | Y | Yes | 16 | 3 | 1 | 80 | 1 | 4 | 2 | 2 | 4 | 2 | 2 | 2 |
| 207 | 0 | 36 | Travel_Frequently | 635 | Research & Development | 18 | 1 | Medical | 1 | 286 | 2 | Female | 73 | 3 | 1 | Laboratory Technician | 4 | Single | 2153 | 7703 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 8 | 2 | 3 | 8 | 1 | 1 | 7 |
| 208 | 0 | 40 | Non-Travel | 1151 | Research & Development | 9 | 5 | Life Sciences | 1 | 287 | 4 | Male | 63 | 2 | 2 | Healthcare Representative | 4 | Married | 4876 | 14242 | 9 | Y | No | 14 | 3 | 4 | 80 | 1 | 5 | 5 | 1 | 3 | 2 | 0 | 2 |
| 209 | 0 | 46 | Travel_Rarely | 644 | Research & Development | 1 | 4 | Medical | 1 | 288 | 4 | Male | 97 | 3 | 3 | Healthcare Representative | 1 | Divorced | 9396 | 12368 | 7 | Y | No | 16 | 3 | 3 | 80 | 1 | 17 | 3 | 3 | 4 | 2 | 0 | 3 |
| 210 | 1 | 32 | Travel_Rarely | 1045 | Sales | 4 | 4 | Medical | 1 | 291 | 4 | Male | 32 | 1 | 3 | Sales Executive | 4 | Married | 10400 | 25812 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 14 | 2 | 2 | 14 | 8 | 9 | 8 |
| 211 | 0 | 30 | Non-Travel | 829 | Research & Development | 1 | 1 | Life Sciences | 1 | 292 | 3 | Male | 88 | 2 | 3 | Manufacturing Director | 3 | Single | 8474 | 20925 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 12 | 2 | 3 | 11 | 8 | 5 | 8 |
| 212 | 0 | 27 | Travel_Frequently | 1242 | Sales | 20 | 3 | Life Sciences | 1 | 293 | 4 | Female | 90 | 3 | 2 | Sales Executive | 3 | Single | 9981 | 12916 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 2 | 3 | 7 | 7 | 0 | 7 |
| 213 | 0 | 51 | Travel_Rarely | 1469 | Research & Development | 8 | 4 | Life Sciences | 1 | 296 | 2 | Male | 81 | 2 | 3 | Research Director | 2 | Married | 12490 | 15736 | 5 | Y | No | 16 | 3 | 4 | 80 | 2 | 16 | 5 | 1 | 10 | 9 | 4 | 7 |
| 214 | 1 | 30 | Travel_Rarely | 1005 | Research & Development | 3 | 3 | Technical Degree | 1 | 297 | 4 | Female | 88 | 3 | 1 | Research Scientist | 1 | Single | 2657 | 8556 | 5 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 5 | 3 | 5 | 2 | 0 | 4 |
| 215 | 0 | 41 | Travel_Rarely | 896 | Sales | 6 | 3 | Life Sciences | 1 | 298 | 4 | Female | 75 | 3 | 3 | Manager | 4 | Single | 13591 | 14674 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 16 | 3 | 3 | 1 | 0 | 0 | 0 |
| 216 | 1 | 30 | Travel_Frequently | 334 | Sales | 26 | 4 | Marketing | 1 | 299 | 3 | Female | 52 | 2 | 2 | Sales Executive | 1 | Single | 6696 | 22967 | 5 | Y | No | 15 | 3 | 3 | 80 | 0 | 9 | 5 | 2 | 6 | 3 | 0 | 1 |
| 217 | 1 | 29 | Travel_Rarely | 992 | Research & Development | 1 | 3 | Technical Degree | 1 | 300 | 3 | Male | 85 | 3 | 1 | Research Scientist | 3 | Single | 2058 | 19757 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 1 | 2 | 6 | 2 | 1 | 5 |
| 218 | 0 | 45 | Non-Travel | 1052 | Sales | 6 | 3 | Medical | 1 | 302 | 4 | Female | 57 | 2 | 3 | Sales Executive | 4 | Single | 8865 | 16840 | 6 | Y | No | 12 | 3 | 4 | 80 | 0 | 23 | 2 | 3 | 19 | 7 | 12 | 8 |
| 219 | 0 | 54 | Travel_Rarely | 1147 | Sales | 3 | 3 | Marketing | 1 | 303 | 4 | Female | 52 | 3 | 2 | Sales Executive | 1 | Married | 5940 | 17011 | 2 | Y | No | 14 | 3 | 4 | 80 | 1 | 16 | 4 | 3 | 6 | 2 | 0 | 5 |
| 220 | 0 | 36 | Travel_Rarely | 1396 | Research & Development | 5 | 2 | Life Sciences | 1 | 304 | 4 | Male | 62 | 3 | 2 | Laboratory Technician | 2 | Single | 5914 | 9945 | 8 | Y | No | 16 | 3 | 4 | 80 | 0 | 16 | 3 | 4 | 13 | 11 | 3 | 7 |
| 221 | 0 | 33 | Travel_Rarely | 147 | Research & Development | 4 | 4 | Medical | 1 | 305 | 3 | Female | 47 | 2 | 1 | Research Scientist | 2 | Married | 2622 | 13248 | 6 | Y | No | 21 | 4 | 4 | 80 | 0 | 7 | 3 | 3 | 3 | 2 | 1 | 1 |
| 222 | 0 | 37 | Travel_Frequently | 663 | Research & Development | 11 | 3 | Other | 1 | 306 | 2 | Male | 47 | 3 | 3 | Research Director | 4 | Divorced | 12185 | 10056 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 10 | 1 | 3 | 10 | 8 | 0 | 7 |
| 223 | 0 | 38 | Travel_Rarely | 119 | Sales | 3 | 3 | Life Sciences | 1 | 307 | 1 | Male | 76 | 3 | 3 | Sales Executive | 3 | Divorced | 10609 | 9647 | 0 | Y | No | 12 | 3 | 3 | 80 | 2 | 17 | 6 | 2 | 16 | 10 | 5 | 13 |
| 224 | 0 | 31 | Non-Travel | 979 | Research & Development | 1 | 4 | Medical | 1 | 308 | 3 | Male | 90 | 1 | 2 | Manufacturing Director | 3 | Married | 4345 | 4381 | 0 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 2 | 3 | 5 | 4 | 1 | 4 |
| 225 | 0 | 59 | Travel_Rarely | 142 | Research & Development | 3 | 3 | Life Sciences | 1 | 309 | 3 | Male | 70 | 2 | 1 | Research Scientist | 4 | Married | 2177 | 8456 | 3 | Y | No | 17 | 3 | 1 | 80 | 1 | 7 | 6 | 3 | 1 | 0 | 0 | 0 |
| 226 | 0 | 37 | Travel_Frequently | 319 | Sales | 4 | 4 | Marketing | 1 | 311 | 1 | Male | 41 | 3 | 1 | Sales Representative | 4 | Divorced | 2793 | 2539 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 13 | 2 | 3 | 9 | 8 | 5 | 8 |
| 227 | 0 | 29 | Travel_Frequently | 1413 | Sales | 1 | 1 | Medical | 1 | 312 | 2 | Female | 42 | 3 | 3 | Sales Executive | 4 | Married | 7918 | 6599 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 11 | 5 | 3 | 11 | 10 | 4 | 1 |
| 228 | 0 | 35 | Travel_Frequently | 944 | Sales | 1 | 3 | Marketing | 1 | 314 | 3 | Female | 92 | 3 | 3 | Sales Executive | 3 | Single | 8789 | 9096 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 10 | 3 | 4 | 10 | 7 | 0 | 8 |
| 229 | 1 | 29 | Travel_Rarely | 896 | Research & Development | 18 | 1 | Medical | 1 | 315 | 3 | Male | 86 | 2 | 1 | Research Scientist | 4 | Single | 2389 | 14961 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 4 | 3 | 2 | 4 | 3 | 0 | 1 |
| 230 | 0 | 52 | Travel_Rarely | 1323 | Research & Development | 2 | 3 | Life Sciences | 1 | 316 | 3 | Female | 89 | 2 | 1 | Laboratory Technician | 4 | Single | 3212 | 3300 | 7 | Y | No | 15 | 3 | 2 | 80 | 0 | 6 | 3 | 2 | 2 | 2 | 2 | 2 |
| 231 | 0 | 42 | Travel_Rarely | 532 | Research & Development | 4 | 2 | Technical Degree | 1 | 319 | 3 | Male | 58 | 3 | 5 | Manager | 4 | Married | 19232 | 4933 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 22 | 3 | 3 | 22 | 17 | 11 | 15 |
| 232 | 0 | 59 | Travel_Rarely | 818 | Human Resources | 6 | 2 | Medical | 1 | 321 | 2 | Male | 52 | 3 | 1 | Human Resources | 3 | Married | 2267 | 25657 | 8 | Y | No | 17 | 3 | 4 | 80 | 0 | 7 | 2 | 2 | 2 | 2 | 2 | 2 |
| 233 | 0 | 50 | Travel_Rarely | 854 | Sales | 1 | 4 | Medical | 1 | 323 | 4 | Female | 68 | 3 | 5 | Manager | 4 | Divorced | 19517 | 24118 | 3 | Y | No | 11 | 3 | 3 | 80 | 1 | 32 | 3 | 2 | 7 | 0 | 0 | 6 |
| 234 | 1 | 33 | Travel_Rarely | 813 | Research & Development | 14 | 3 | Medical | 1 | 325 | 3 | Male | 58 | 3 | 1 | Laboratory Technician | 4 | Married | 2436 | 22149 | 5 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 8 | 2 | 1 | 5 | 4 | 0 | 4 |
| 235 | 0 | 43 | Travel_Rarely | 1034 | Sales | 16 | 3 | Marketing | 1 | 327 | 4 | Female | 80 | 3 | 4 | Manager | 4 | Married | 16064 | 7744 | 5 | Y | Yes | 22 | 4 | 3 | 80 | 1 | 22 | 3 | 3 | 17 | 13 | 1 | 9 |
| 236 | 1 | 33 | Travel_Rarely | 465 | Research & Development | 2 | 2 | Life Sciences | 1 | 328 | 1 | Female | 39 | 3 | 1 | Laboratory Technician | 1 | Married | 2707 | 21509 | 7 | Y | No | 20 | 4 | 1 | 80 | 0 | 13 | 3 | 4 | 9 | 7 | 1 | 7 |
| 237 | 0 | 52 | Non-Travel | 771 | Sales | 2 | 4 | Life Sciences | 1 | 329 | 1 | Male | 79 | 2 | 5 | Manager | 3 | Single | 19068 | 21030 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 33 | 2 | 4 | 33 | 7 | 15 | 12 |
| 238 | 0 | 32 | Travel_Rarely | 1401 | Sales | 4 | 2 | Life Sciences | 1 | 330 | 3 | Female | 56 | 3 | 1 | Sales Representative | 2 | Married | 3931 | 20990 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 6 | 5 | 3 | 4 | 3 | 1 | 2 |
| 239 | 1 | 32 | Travel_Rarely | 515 | Research & Development | 1 | 3 | Life Sciences | 1 | 331 | 4 | Male | 62 | 2 | 1 | Laboratory Technician | 3 | Single | 3730 | 9571 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 4 | 2 | 1 | 3 | 2 | 1 | 2 |
| 240 | 0 | 39 | Travel_Rarely | 1431 | Research & Development | 1 | 4 | Medical | 1 | 332 | 3 | Female | 96 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2232 | 15417 | 7 | Y | No | 14 | 3 | 3 | 80 | 3 | 7 | 1 | 3 | 3 | 2 | 1 | 2 |
| 241 | 0 | 32 | Non-Travel | 976 | Sales | 26 | 4 | Marketing | 1 | 333 | 3 | Male | 100 | 3 | 2 | Sales Executive | 4 | Married | 4465 | 12069 | 0 | Y | No | 18 | 3 | 1 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 2 | 2 |
| 242 | 0 | 41 | Travel_Rarely | 1411 | Research & Development | 19 | 2 | Life Sciences | 1 | 334 | 3 | Male | 36 | 3 | 2 | Research Scientist | 1 | Divorced | 3072 | 19877 | 2 | Y | No | 16 | 3 | 1 | 80 | 2 | 17 | 2 | 2 | 1 | 0 | 0 | 0 |
| 243 | 0 | 40 | Travel_Rarely | 1300 | Research & Development | 24 | 2 | Technical Degree | 1 | 335 | 1 | Male | 62 | 3 | 2 | Research Scientist | 4 | Divorced | 3319 | 24447 | 1 | Y | No | 17 | 3 | 1 | 80 | 2 | 9 | 3 | 3 | 9 | 8 | 4 | 7 |
| 244 | 0 | 45 | Travel_Rarely | 252 | Research & Development | 1 | 3 | Other | 1 | 336 | 3 | Male | 70 | 4 | 5 | Manager | 4 | Married | 19202 | 15970 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 25 | 2 | 3 | 24 | 0 | 1 | 7 |
| 245 | 0 | 31 | Travel_Frequently | 1327 | Research & Development | 3 | 4 | Medical | 1 | 337 | 2 | Male | 73 | 3 | 3 | Research Director | 3 | Divorced | 13675 | 13523 | 9 | Y | No | 12 | 3 | 1 | 80 | 1 | 9 | 3 | 3 | 2 | 2 | 2 | 2 |
| 246 | 0 | 33 | Travel_Rarely | 832 | Research & Development | 5 | 4 | Life Sciences | 1 | 338 | 3 | Female | 63 | 2 | 1 | Research Scientist | 4 | Married | 2911 | 14776 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 2 | 2 | 2 | 2 | 2 | 0 | 2 |
| 247 | 0 | 34 | Travel_Rarely | 470 | Research & Development | 2 | 4 | Life Sciences | 1 | 339 | 4 | Male | 84 | 2 | 2 | Manufacturing Director | 1 | Married | 5957 | 23687 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 13 | 3 | 3 | 11 | 9 | 5 | 9 |
| 248 | 0 | 37 | Travel_Rarely | 1017 | Research & Development | 1 | 2 | Medical | 1 | 340 | 3 | Female | 83 | 2 | 1 | Research Scientist | 1 | Married | 3920 | 18697 | 2 | Y | No | 14 | 3 | 1 | 80 | 1 | 17 | 2 | 2 | 3 | 1 | 0 | 2 |
| 249 | 0 | 45 | Travel_Frequently | 1199 | Research & Development | 7 | 4 | Life Sciences | 1 | 341 | 1 | Male | 77 | 4 | 2 | Manufacturing Director | 3 | Married | 6434 | 5118 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 9 | 1 | 3 | 3 | 2 | 0 | 2 |
| 250 | 1 | 37 | Travel_Frequently | 504 | Research & Development | 10 | 3 | Medical | 1 | 342 | 1 | Male | 61 | 3 | 3 | Manufacturing Director | 3 | Divorced | 10048 | 22573 | 6 | Y | No | 11 | 3 | 2 | 80 | 2 | 17 | 5 | 3 | 1 | 0 | 0 | 0 |
| 251 | 0 | 39 | Travel_Frequently | 505 | Research & Development | 2 | 4 | Technical Degree | 1 | 343 | 3 | Female | 64 | 3 | 3 | Healthcare Representative | 3 | Single | 10938 | 6420 | 0 | Y | No | 25 | 4 | 4 | 80 | 0 | 20 | 1 | 3 | 19 | 6 | 11 | 8 |
| 252 | 0 | 29 | Travel_Rarely | 665 | Research & Development | 15 | 3 | Life Sciences | 1 | 346 | 3 | Male | 60 | 3 | 1 | Research Scientist | 4 | Single | 2340 | 22673 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 6 | 1 | 3 | 6 | 5 | 1 | 5 |
| 253 | 0 | 42 | Travel_Rarely | 916 | Research & Development | 17 | 2 | Life Sciences | 1 | 347 | 4 | Female | 82 | 4 | 2 | Research Scientist | 1 | Single | 6545 | 23016 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 1 | 3 | 3 | 2 | 0 | 2 |
| 254 | 0 | 29 | Travel_Rarely | 1247 | Sales | 20 | 2 | Marketing | 1 | 349 | 4 | Male | 45 | 3 | 2 | Sales Executive | 4 | Divorced | 6931 | 10732 | 2 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 3 | 2 | 0 | 2 |
| 255 | 0 | 25 | Travel_Rarely | 685 | Research & Development | 1 | 3 | Life Sciences | 1 | 350 | 1 | Female | 62 | 3 | 2 | Manufacturing Director | 3 | Married | 4898 | 7505 | 0 | Y | No | 12 | 3 | 4 | 80 | 2 | 5 | 3 | 3 | 4 | 2 | 1 | 2 |
| 256 | 0 | 42 | Travel_Rarely | 269 | Research & Development | 2 | 3 | Medical | 1 | 351 | 4 | Female | 56 | 2 | 1 | Laboratory Technician | 1 | Divorced | 2593 | 8007 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 10 | 4 | 3 | 9 | 6 | 7 | 8 |
| 257 | 0 | 40 | Travel_Rarely | 1416 | Research & Development | 2 | 2 | Medical | 1 | 352 | 1 | Male | 49 | 3 | 5 | Research Director | 3 | Divorced | 19436 | 5949 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 22 | 5 | 3 | 21 | 7 | 3 | 9 |
| 258 | 0 | 51 | Travel_Rarely | 833 | Research & Development | 1 | 3 | Life Sciences | 1 | 353 | 3 | Male | 96 | 3 | 1 | Research Scientist | 4 | Married | 2723 | 23231 | 1 | Y | No | 11 | 3 | 2 | 80 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 0 |
| 259 | 1 | 31 | Travel_Frequently | 307 | Research & Development | 29 | 2 | Medical | 1 | 355 | 3 | Male | 71 | 2 | 1 | Laboratory Technician | 2 | Single | 3479 | 11652 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 2 | 4 | 5 | 4 | 1 | 4 |
| 260 | 0 | 32 | Travel_Frequently | 1311 | Research & Development | 7 | 3 | Life Sciences | 1 | 359 | 2 | Male | 100 | 4 | 1 | Laboratory Technician | 2 | Married | 2794 | 26062 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 5 | 3 | 1 | 5 | 1 | 0 | 3 |
| 261 | 0 | 38 | Non-Travel | 1327 | Sales | 2 | 2 | Life Sciences | 1 | 361 | 4 | Male | 39 | 2 | 2 | Sales Executive | 4 | Married | 5249 | 19682 | 3 | Y | No | 18 | 3 | 4 | 80 | 1 | 13 | 0 | 3 | 8 | 7 | 7 | 5 |
| 262 | 0 | 32 | Travel_Rarely | 128 | Research & Development | 2 | 1 | Technical Degree | 1 | 362 | 4 | Male | 84 | 2 | 2 | Laboratory Technician | 1 | Single | 2176 | 19737 | 4 | Y | No | 13 | 3 | 4 | 80 | 0 | 9 | 5 | 3 | 6 | 2 | 0 | 4 |
| 263 | 0 | 46 | Travel_Rarely | 488 | Sales | 2 | 3 | Technical Degree | 1 | 363 | 3 | Female | 75 | 1 | 4 | Manager | 2 | Married | 16872 | 14977 | 3 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 28 | 2 | 2 | 7 | 7 | 7 | 7 |
| 264 | 1 | 28 | Travel_Rarely | 529 | Research & Development | 2 | 4 | Life Sciences | 1 | 364 | 1 | Male | 79 | 3 | 1 | Laboratory Technician | 3 | Single | 3485 | 14935 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 5 | 5 | 1 | 0 | 0 | 0 | 0 |
| 265 | 0 | 29 | Travel_Rarely | 1210 | Sales | 2 | 3 | Medical | 1 | 366 | 1 | Male | 78 | 2 | 2 | Sales Executive | 2 | Married | 6644 | 3687 | 2 | Y | No | 19 | 3 | 2 | 80 | 2 | 10 | 2 | 3 | 0 | 0 | 0 | 0 |
| 266 | 0 | 31 | Travel_Rarely | 1463 | Research & Development | 23 | 3 | Medical | 1 | 367 | 2 | Male | 64 | 2 | 2 | Healthcare Representative | 4 | Married | 5582 | 14408 | 0 | Y | No | 21 | 4 | 2 | 80 | 1 | 10 | 2 | 3 | 9 | 0 | 7 | 8 |
| 267 | 0 | 25 | Non-Travel | 675 | Research & Development | 5 | 2 | Life Sciences | 1 | 369 | 2 | Male | 85 | 4 | 2 | Healthcare Representative | 1 | Divorced | 4000 | 18384 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 6 | 2 | 3 | 6 | 3 | 1 | 5 |
| 268 | 0 | 45 | Travel_Rarely | 1385 | Research & Development | 20 | 2 | Medical | 1 | 372 | 3 | Male | 79 | 3 | 4 | Healthcare Representative | 4 | Married | 13496 | 7501 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 21 | 2 | 3 | 20 | 7 | 4 | 10 |
| 269 | 0 | 36 | Travel_Rarely | 1403 | Research & Development | 6 | 3 | Life Sciences | 1 | 373 | 4 | Male | 47 | 3 | 1 | Laboratory Technician | 4 | Married | 3210 | 20251 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 16 | 4 | 3 | 15 | 13 | 10 | 11 |
| 270 | 0 | 55 | Travel_Rarely | 452 | Research & Development | 1 | 3 | Medical | 1 | 374 | 4 | Male | 81 | 3 | 5 | Manager | 1 | Single | 19045 | 18938 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 37 | 2 | 3 | 36 | 10 | 4 | 13 |
| 271 | 1 | 47 | Non-Travel | 666 | Research & Development | 29 | 4 | Life Sciences | 1 | 376 | 1 | Male | 88 | 3 | 3 | Manager | 2 | Married | 11849 | 10268 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 10 | 2 | 2 | 10 | 7 | 9 | 9 |
| 272 | 0 | 28 | Travel_Rarely | 1158 | Research & Development | 9 | 3 | Medical | 1 | 377 | 4 | Male | 94 | 3 | 1 | Research Scientist | 4 | Married | 2070 | 2613 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 5 | 3 | 2 | 5 | 2 | 0 | 4 |
| 273 | 0 | 37 | Travel_Rarely | 228 | Sales | 6 | 4 | Medical | 1 | 378 | 3 | Male | 98 | 3 | 2 | Sales Executive | 4 | Married | 6502 | 22825 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 7 | 5 | 4 | 5 | 4 | 0 | 1 |
| 274 | 0 | 21 | Travel_Rarely | 996 | Research & Development | 3 | 2 | Medical | 1 | 379 | 4 | Male | 100 | 2 | 1 | Research Scientist | 3 | Single | 3230 | 10531 | 1 | Y | No | 17 | 3 | 1 | 80 | 0 | 3 | 4 | 4 | 3 | 2 | 1 | 0 |
| 275 | 0 | 37 | Non-Travel | 728 | Research & Development | 1 | 4 | Medical | 1 | 380 | 1 | Female | 80 | 3 | 3 | Research Director | 4 | Divorced | 13603 | 11677 | 2 | Y | Yes | 18 | 3 | 1 | 80 | 2 | 15 | 2 | 3 | 5 | 2 | 0 | 2 |
| 276 | 0 | 35 | Travel_Rarely | 1315 | Research & Development | 22 | 3 | Life Sciences | 1 | 381 | 2 | Female | 71 | 4 | 3 | Manager | 2 | Divorced | 11996 | 19100 | 7 | Y | No | 18 | 3 | 2 | 80 | 1 | 10 | 6 | 2 | 7 | 7 | 6 | 2 |
| 277 | 0 | 38 | Travel_Rarely | 322 | Sales | 7 | 2 | Medical | 1 | 382 | 1 | Female | 44 | 4 | 2 | Sales Executive | 1 | Divorced | 5605 | 19191 | 1 | Y | Yes | 24 | 4 | 3 | 80 | 1 | 8 | 3 | 3 | 8 | 0 | 7 | 7 |
| 278 | 0 | 26 | Travel_Frequently | 1479 | Research & Development | 1 | 3 | Life Sciences | 1 | 384 | 3 | Female | 84 | 3 | 2 | Manufacturing Director | 2 | Divorced | 6397 | 26767 | 1 | Y | No | 20 | 4 | 1 | 80 | 1 | 6 | 6 | 1 | 6 | 5 | 1 | 4 |
| 279 | 0 | 50 | Travel_Rarely | 797 | Research & Development | 4 | 1 | Life Sciences | 1 | 385 | 1 | Male | 96 | 3 | 5 | Research Director | 2 | Divorced | 19144 | 15815 | 3 | Y | No | 14 | 3 | 1 | 80 | 2 | 28 | 4 | 2 | 10 | 4 | 1 | 6 |
| 280 | 0 | 53 | Travel_Rarely | 1070 | Research & Development | 3 | 4 | Medical | 1 | 386 | 3 | Male | 45 | 3 | 4 | Research Director | 3 | Married | 17584 | 21016 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 3 | 21 | 5 | 2 | 5 | 3 | 1 | 3 |
| 281 | 0 | 42 | Travel_Rarely | 635 | Sales | 1 | 1 | Life Sciences | 1 | 387 | 2 | Male | 99 | 3 | 2 | Sales Executive | 3 | Married | 4907 | 24532 | 1 | Y | No | 25 | 4 | 3 | 80 | 0 | 20 | 3 | 3 | 20 | 16 | 11 | 6 |
| 282 | 0 | 29 | Travel_Frequently | 442 | Sales | 2 | 2 | Life Sciences | 1 | 388 | 2 | Male | 44 | 3 | 2 | Sales Executive | 4 | Single | 4554 | 20260 | 1 | Y | No | 18 | 3 | 1 | 80 | 0 | 10 | 3 | 2 | 10 | 7 | 0 | 9 |
| 283 | 0 | 55 | Travel_Rarely | 147 | Research & Development | 20 | 2 | Technical Degree | 1 | 389 | 2 | Male | 37 | 3 | 2 | Laboratory Technician | 4 | Married | 5415 | 15972 | 3 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 12 | 4 | 3 | 10 | 7 | 0 | 8 |
| 284 | 0 | 26 | Travel_Frequently | 496 | Research & Development | 11 | 2 | Medical | 1 | 390 | 1 | Male | 60 | 3 | 2 | Healthcare Representative | 1 | Married | 4741 | 22722 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 5 | 3 | 3 | 5 | 3 | 3 | 3 |
| 285 | 0 | 37 | Travel_Rarely | 1372 | Research & Development | 1 | 3 | Life Sciences | 1 | 391 | 4 | Female | 42 | 3 | 1 | Research Scientist | 4 | Single | 2115 | 15881 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 17 | 3 | 3 | 17 | 12 | 5 | 7 |
| 286 | 1 | 44 | Travel_Frequently | 920 | Research & Development | 24 | 3 | Life Sciences | 1 | 392 | 4 | Male | 43 | 3 | 1 | Laboratory Technician | 3 | Divorced | 3161 | 19920 | 3 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 19 | 0 | 1 | 1 | 0 | 0 | 0 |
| 287 | 0 | 38 | Travel_Rarely | 688 | Research & Development | 23 | 4 | Life Sciences | 1 | 393 | 4 | Male | 82 | 3 | 2 | Healthcare Representative | 4 | Divorced | 5745 | 18899 | 9 | Y | No | 14 | 3 | 2 | 80 | 1 | 10 | 2 | 3 | 2 | 2 | 1 | 2 |
| 288 | 1 | 26 | Travel_Rarely | 1449 | Research & Development | 16 | 4 | Medical | 1 | 394 | 1 | Male | 45 | 3 | 1 | Laboratory Technician | 2 | Divorced | 2373 | 14180 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 3 | 3 | 2 | 0 | 2 |
| 289 | 0 | 28 | Travel_Rarely | 1117 | Research & Development | 8 | 2 | Life Sciences | 1 | 395 | 4 | Female | 66 | 3 | 1 | Research Scientist | 4 | Single | 3310 | 4488 | 1 | Y | No | 21 | 4 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 3 | 0 | 2 |
| 290 | 0 | 49 | Travel_Frequently | 636 | Research & Development | 10 | 4 | Life Sciences | 1 | 396 | 3 | Female | 35 | 3 | 5 | Research Director | 1 | Single | 18665 | 25594 | 9 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 22 | 4 | 3 | 3 | 2 | 1 | 2 |
| 291 | 0 | 36 | Travel_Rarely | 506 | Research & Development | 3 | 3 | Technical Degree | 1 | 397 | 3 | Male | 30 | 3 | 2 | Research Scientist | 2 | Single | 4485 | 26285 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 8 | 0 | 7 | 7 |
| 292 | 0 | 31 | Travel_Frequently | 444 | Sales | 5 | 3 | Marketing | 1 | 399 | 4 | Female | 84 | 3 | 1 | Sales Representative | 2 | Divorced | 2789 | 3909 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 2 | 5 | 2 | 2 | 2 | 2 | 2 |
| 293 | 1 | 26 | Travel_Rarely | 950 | Sales | 4 | 4 | Marketing | 1 | 401 | 4 | Male | 48 | 2 | 2 | Sales Executive | 4 | Single | 5828 | 8450 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 8 | 0 | 3 | 8 | 7 | 7 | 4 |
| 294 | 0 | 37 | Travel_Frequently | 889 | Research & Development | 9 | 3 | Medical | 1 | 403 | 2 | Male | 53 | 3 | 1 | Research Scientist | 4 | Married | 2326 | 11411 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 4 | 3 | 2 | 4 | 2 | 1 | 2 |
| 295 | 0 | 42 | Travel_Frequently | 555 | Sales | 26 | 3 | Marketing | 1 | 404 | 3 | Female | 77 | 3 | 4 | Sales Executive | 2 | Married | 13525 | 14864 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 23 | 2 | 4 | 20 | 4 | 4 | 8 |
| 296 | 1 | 18 | Travel_Rarely | 230 | Research & Development | 3 | 3 | Life Sciences | 1 | 405 | 3 | Male | 54 | 3 | 1 | Laboratory Technician | 3 | Single | 1420 | 25233 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 |
| 297 | 0 | 35 | Travel_Rarely | 1232 | Sales | 16 | 3 | Marketing | 1 | 406 | 3 | Male | 96 | 3 | 3 | Sales Executive | 2 | Married | 8020 | 5100 | 0 | Y | No | 15 | 3 | 3 | 80 | 2 | 12 | 3 | 2 | 11 | 9 | 6 | 9 |
| 298 | 0 | 36 | Travel_Frequently | 566 | Research & Development | 18 | 4 | Life Sciences | 1 | 407 | 3 | Male | 81 | 4 | 1 | Laboratory Technician | 4 | Married | 3688 | 7122 | 4 | Y | No | 18 | 3 | 4 | 80 | 2 | 4 | 2 | 3 | 1 | 0 | 0 | 0 |
| 299 | 0 | 51 | Travel_Rarely | 1302 | Research & Development | 2 | 3 | Medical | 1 | 408 | 4 | Male | 84 | 1 | 2 | Manufacturing Director | 2 | Divorced | 5482 | 16321 | 5 | Y | No | 18 | 3 | 4 | 80 | 1 | 13 | 3 | 3 | 4 | 1 | 1 | 2 |
| 300 | 0 | 41 | Travel_Rarely | 334 | Sales | 2 | 4 | Life Sciences | 1 | 410 | 4 | Male | 88 | 3 | 4 | Manager | 2 | Single | 16015 | 15896 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 22 | 2 | 3 | 22 | 10 | 0 | 4 |
| 301 | 0 | 18 | Travel_Rarely | 812 | Sales | 10 | 3 | Medical | 1 | 411 | 4 | Female | 69 | 2 | 1 | Sales Representative | 3 | Single | 1200 | 9724 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 |
| 302 | 0 | 28 | Travel_Rarely | 1476 | Research & Development | 16 | 2 | Medical | 1 | 412 | 2 | Male | 68 | 4 | 2 | Healthcare Representative | 1 | Single | 5661 | 4824 | 0 | Y | No | 19 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 8 | 3 | 0 | 7 |
| 303 | 0 | 31 | Travel_Rarely | 218 | Sales | 7 | 3 | Technical Degree | 1 | 416 | 2 | Male | 100 | 4 | 2 | Sales Executive | 4 | Married | 6929 | 12241 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 8 | 7 | 7 | 7 |
| 304 | 0 | 39 | Travel_Rarely | 1132 | Research & Development | 1 | 3 | Medical | 1 | 417 | 3 | Male | 48 | 4 | 3 | Healthcare Representative | 4 | Divorced | 9613 | 10942 | 0 | Y | No | 17 | 3 | 1 | 80 | 3 | 19 | 5 | 2 | 18 | 10 | 3 | 7 |
| 305 | 0 | 36 | Non-Travel | 1105 | Research & Development | 24 | 4 | Life Sciences | 1 | 419 | 2 | Female | 47 | 3 | 2 | Laboratory Technician | 2 | Married | 5674 | 6927 | 7 | Y | No | 15 | 3 | 3 | 80 | 1 | 11 | 3 | 3 | 9 | 8 | 0 | 8 |
| 306 | 0 | 32 | Travel_Rarely | 906 | Sales | 7 | 3 | Life Sciences | 1 | 420 | 4 | Male | 91 | 2 | 2 | Sales Executive | 3 | Married | 5484 | 16985 | 1 | Y | No | 14 | 3 | 3 | 80 | 1 | 13 | 3 | 2 | 13 | 8 | 4 | 8 |
| 307 | 0 | 38 | Travel_Rarely | 849 | Research & Development | 25 | 2 | Life Sciences | 1 | 421 | 1 | Female | 81 | 2 | 3 | Research Director | 2 | Married | 12061 | 26707 | 3 | Y | No | 17 | 3 | 3 | 80 | 1 | 19 | 2 | 3 | 10 | 8 | 0 | 1 |
| 308 | 0 | 58 | Non-Travel | 390 | Research & Development | 1 | 4 | Life Sciences | 1 | 422 | 4 | Male | 32 | 1 | 2 | Healthcare Representative | 3 | Divorced | 5660 | 17056 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 12 | 2 | 3 | 5 | 3 | 1 | 2 |
| 309 | 0 | 31 | Travel_Rarely | 691 | Research & Development | 5 | 4 | Technical Degree | 1 | 423 | 3 | Male | 86 | 3 | 1 | Research Scientist | 4 | Married | 4821 | 10077 | 0 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 6 | 4 | 3 | 5 | 2 | 0 | 3 |
| 310 | 0 | 31 | Travel_Rarely | 106 | Human Resources | 2 | 3 | Human Resources | 1 | 424 | 1 | Male | 62 | 2 | 2 | Human Resources | 1 | Married | 6410 | 17822 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 9 | 1 | 3 | 2 | 2 | 1 | 0 |
| 311 | 0 | 45 | Travel_Frequently | 1249 | Research & Development | 7 | 3 | Life Sciences | 1 | 425 | 1 | Male | 97 | 3 | 3 | Laboratory Technician | 1 | Divorced | 5210 | 20308 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 24 | 2 | 3 | 24 | 9 | 9 | 11 |
| 312 | 0 | 31 | Travel_Rarely | 192 | Research & Development | 2 | 4 | Life Sciences | 1 | 426 | 3 | Male | 32 | 3 | 1 | Research Scientist | 4 | Divorced | 2695 | 7747 | 0 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 3 | 2 | 1 | 2 | 2 | 2 | 2 |
| 313 | 0 | 33 | Travel_Frequently | 553 | Research & Development | 5 | 4 | Life Sciences | 1 | 428 | 4 | Female | 74 | 3 | 3 | Manager | 2 | Married | 11878 | 23364 | 6 | Y | No | 11 | 3 | 2 | 80 | 2 | 12 | 2 | 3 | 10 | 6 | 8 | 8 |
| 314 | 0 | 39 | Travel_Rarely | 117 | Research & Development | 10 | 1 | Medical | 1 | 429 | 3 | Male | 99 | 3 | 4 | Manager | 1 | Married | 17068 | 5355 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 21 | 3 | 3 | 21 | 9 | 11 | 10 |
| 315 | 0 | 43 | Travel_Frequently | 185 | Research & Development | 10 | 4 | Life Sciences | 1 | 430 | 3 | Female | 33 | 3 | 1 | Laboratory Technician | 4 | Single | 2455 | 10675 | 0 | Y | No | 19 | 3 | 1 | 80 | 0 | 9 | 5 | 3 | 8 | 7 | 1 | 7 |
| 316 | 0 | 49 | Travel_Rarely | 1091 | Research & Development | 1 | 2 | Technical Degree | 1 | 431 | 3 | Female | 90 | 2 | 4 | Healthcare Representative | 3 | Single | 13964 | 17810 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 25 | 2 | 3 | 7 | 1 | 0 | 7 |
| 317 | 1 | 52 | Travel_Rarely | 723 | Research & Development | 8 | 4 | Medical | 1 | 433 | 3 | Male | 85 | 2 | 2 | Research Scientist | 2 | Married | 4941 | 17747 | 2 | Y | No | 15 | 3 | 1 | 80 | 0 | 11 | 3 | 2 | 8 | 2 | 7 | 7 |
| 318 | 0 | 27 | Travel_Rarely | 1220 | Research & Development | 5 | 3 | Life Sciences | 1 | 434 | 3 | Female | 85 | 3 | 1 | Research Scientist | 2 | Single | 2478 | 20938 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 3 | 1 | 2 |
| 319 | 0 | 32 | Travel_Rarely | 588 | Sales | 8 | 2 | Technical Degree | 1 | 436 | 3 | Female | 65 | 2 | 2 | Sales Executive | 2 | Married | 5228 | 24624 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 13 | 2 | 3 | 13 | 12 | 11 | 9 |
| 320 | 0 | 27 | Travel_Rarely | 1377 | Sales | 2 | 3 | Life Sciences | 1 | 437 | 4 | Male | 74 | 3 | 2 | Sales Executive | 3 | Single | 4478 | 5242 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 4 |
| 321 | 0 | 31 | Travel_Rarely | 691 | Sales | 7 | 3 | Marketing | 1 | 438 | 4 | Male | 73 | 3 | 2 | Sales Executive | 4 | Divorced | 7547 | 7143 | 4 | Y | No | 12 | 3 | 4 | 80 | 3 | 13 | 3 | 3 | 7 | 7 | 1 | 7 |
| 322 | 0 | 32 | Travel_Rarely | 1018 | Research & Development | 2 | 4 | Medical | 1 | 439 | 1 | Female | 74 | 4 | 2 | Research Scientist | 4 | Single | 5055 | 10557 | 7 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 0 | 2 | 7 | 7 | 0 | 7 |
| 323 | 1 | 28 | Travel_Rarely | 1157 | Research & Development | 2 | 4 | Medical | 1 | 440 | 1 | Male | 84 | 1 | 1 | Research Scientist | 4 | Married | 3464 | 24737 | 5 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 5 | 4 | 2 | 3 | 2 | 2 | 2 |
| 324 | 0 | 30 | Travel_Rarely | 1275 | Research & Development | 28 | 2 | Medical | 1 | 441 | 4 | Female | 64 | 3 | 2 | Research Scientist | 4 | Married | 5775 | 11934 | 1 | Y | No | 13 | 3 | 4 | 80 | 2 | 11 | 2 | 3 | 10 | 8 | 1 | 9 |
| 325 | 0 | 31 | Travel_Frequently | 798 | Research & Development | 7 | 2 | Life Sciences | 1 | 442 | 3 | Female | 48 | 2 | 3 | Manufacturing Director | 3 | Married | 8943 | 14034 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 9 | 8 | 9 |
| 326 | 0 | 39 | Travel_Frequently | 672 | Research & Development | 7 | 2 | Medical | 1 | 444 | 3 | Male | 54 | 2 | 5 | Manager | 4 | Married | 19272 | 21141 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 21 | 2 | 3 | 21 | 9 | 13 | 3 |
| 327 | 1 | 39 | Travel_Rarely | 1162 | Sales | 3 | 2 | Medical | 1 | 445 | 4 | Female | 41 | 3 | 2 | Sales Executive | 3 | Married | 5238 | 17778 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 0 | 12 | 3 | 2 | 1 | 0 | 0 | 0 |
| 328 | 0 | 33 | Travel_Frequently | 508 | Sales | 10 | 3 | Marketing | 1 | 446 | 2 | Male | 46 | 2 | 2 | Sales Executive | 4 | Single | 4682 | 4317 | 3 | Y | No | 14 | 3 | 3 | 80 | 0 | 9 | 6 | 2 | 7 | 7 | 0 | 1 |
| 329 | 0 | 47 | Travel_Rarely | 1482 | Research & Development | 5 | 5 | Life Sciences | 1 | 447 | 4 | Male | 42 | 3 | 5 | Research Director | 3 | Married | 18300 | 16375 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 21 | 2 | 3 | 3 | 2 | 1 | 1 |
| 330 | 0 | 43 | Travel_Frequently | 559 | Research & Development | 10 | 4 | Life Sciences | 1 | 448 | 3 | Female | 82 | 2 | 2 | Laboratory Technician | 3 | Divorced | 5257 | 6227 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 9 | 3 | 4 | 9 | 7 | 0 | 0 |
| 331 | 0 | 27 | Non-Travel | 210 | Sales | 1 | 1 | Marketing | 1 | 449 | 3 | Male | 73 | 3 | 2 | Sales Executive | 2 | Married | 6349 | 22107 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 6 | 0 | 3 | 5 | 4 | 1 | 4 |
| 332 | 0 | 54 | Travel_Frequently | 928 | Research & Development | 20 | 4 | Life Sciences | 1 | 450 | 4 | Female | 31 | 3 | 2 | Research Scientist | 3 | Single | 4869 | 16885 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 4 | 2 | 4 | 3 | 0 | 3 |
| 333 | 0 | 43 | Travel_Rarely | 1001 | Research & Development | 7 | 3 | Life Sciences | 1 | 451 | 3 | Female | 43 | 3 | 3 | Healthcare Representative | 1 | Married | 9985 | 9262 | 8 | Y | No | 16 | 3 | 1 | 80 | 1 | 10 | 1 | 2 | 1 | 0 | 0 | 0 |
| 334 | 0 | 45 | Travel_Rarely | 549 | Research & Development | 8 | 4 | Other | 1 | 452 | 4 | Male | 75 | 3 | 2 | Research Scientist | 4 | Married | 3697 | 9278 | 9 | Y | No | 14 | 3 | 1 | 80 | 2 | 12 | 3 | 3 | 10 | 9 | 9 | 8 |
| 335 | 0 | 40 | Travel_Rarely | 1124 | Sales | 1 | 2 | Medical | 1 | 453 | 2 | Male | 57 | 1 | 2 | Sales Executive | 4 | Married | 7457 | 13273 | 2 | Y | Yes | 22 | 4 | 3 | 80 | 3 | 6 | 2 | 2 | 4 | 3 | 0 | 2 |
| 336 | 1 | 29 | Travel_Rarely | 318 | Research & Development | 8 | 4 | Other | 1 | 454 | 2 | Male | 77 | 1 | 1 | Laboratory Technician | 1 | Married | 2119 | 4759 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 7 | 4 | 2 | 7 | 7 | 0 | 7 |
| 337 | 0 | 29 | Travel_Rarely | 738 | Research & Development | 9 | 5 | Other | 1 | 455 | 2 | Male | 30 | 2 | 1 | Laboratory Technician | 4 | Single | 3983 | 7621 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 2 | 2 |
| 338 | 0 | 30 | Travel_Rarely | 570 | Sales | 5 | 3 | Marketing | 1 | 456 | 4 | Female | 30 | 2 | 2 | Sales Executive | 3 | Divorced | 6118 | 5431 | 1 | Y | No | 13 | 3 | 3 | 80 | 3 | 10 | 2 | 3 | 10 | 9 | 1 | 2 |
| 339 | 0 | 27 | Travel_Rarely | 1130 | Sales | 8 | 4 | Marketing | 1 | 458 | 2 | Female | 56 | 3 | 2 | Sales Executive | 2 | Married | 6214 | 3415 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 0 | 7 |
| 340 | 0 | 37 | Travel_Rarely | 1192 | Research & Development | 5 | 2 | Medical | 1 | 460 | 4 | Male | 61 | 3 | 2 | Manufacturing Director | 4 | Divorced | 6347 | 23177 | 7 | Y | No | 16 | 3 | 3 | 80 | 2 | 8 | 2 | 2 | 6 | 2 | 0 | 4 |
| 341 | 0 | 38 | Travel_Rarely | 343 | Research & Development | 15 | 2 | Life Sciences | 1 | 461 | 3 | Male | 92 | 2 | 3 | Research Director | 4 | Divorced | 11510 | 15682 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 1 | 12 | 3 | 3 | 11 | 10 | 2 | 9 |
| 342 | 0 | 31 | Travel_Rarely | 1232 | Research & Development | 7 | 4 | Medical | 1 | 462 | 3 | Female | 39 | 3 | 3 | Manufacturing Director | 4 | Single | 7143 | 25713 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 11 | 2 | 2 | 11 | 9 | 4 | 10 |
| 343 | 0 | 29 | Travel_Rarely | 144 | Sales | 10 | 1 | Marketing | 1 | 463 | 4 | Female | 39 | 2 | 2 | Sales Executive | 2 | Divorced | 8268 | 11866 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 2 | 7 | 2 | 3 | 7 | 7 | 1 | 7 |
| 344 | 0 | 35 | Travel_Rarely | 1296 | Research & Development | 5 | 4 | Technical Degree | 1 | 464 | 3 | Male | 62 | 3 | 3 | Manufacturing Director | 2 | Single | 8095 | 18264 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 17 | 5 | 3 | 16 | 6 | 0 | 13 |
| 345 | 0 | 23 | Travel_Rarely | 1309 | Research & Development | 26 | 1 | Life Sciences | 1 | 465 | 3 | Male | 83 | 3 | 1 | Research Scientist | 4 | Divorced | 2904 | 16092 | 1 | Y | No | 12 | 3 | 3 | 80 | 2 | 4 | 2 | 2 | 4 | 2 | 0 | 2 |
| 346 | 0 | 41 | Travel_Rarely | 483 | Research & Development | 6 | 3 | Medical | 1 | 466 | 4 | Male | 95 | 2 | 2 | Manufacturing Director | 2 | Single | 6032 | 10110 | 6 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 5 | 4 | 1 | 2 |
| 347 | 0 | 47 | Travel_Frequently | 1309 | Sales | 4 | 1 | Medical | 1 | 467 | 2 | Male | 99 | 3 | 2 | Sales Representative | 3 | Single | 2976 | 25751 | 3 | Y | No | 19 | 3 | 1 | 80 | 0 | 5 | 3 | 3 | 0 | 0 | 0 | 0 |
| 348 | 0 | 42 | Travel_Rarely | 810 | Research & Development | 23 | 5 | Life Sciences | 1 | 468 | 1 | Female | 44 | 3 | 4 | Research Director | 4 | Single | 15992 | 15901 | 2 | Y | No | 14 | 3 | 2 | 80 | 0 | 16 | 2 | 3 | 1 | 0 | 0 | 0 |
| 349 | 0 | 29 | Non-Travel | 746 | Sales | 2 | 3 | Life Sciences | 1 | 469 | 4 | Male | 61 | 3 | 2 | Sales Executive | 3 | Married | 4649 | 16928 | 1 | Y | No | 14 | 3 | 1 | 80 | 1 | 4 | 3 | 2 | 4 | 3 | 0 | 2 |
| 350 | 0 | 42 | Travel_Rarely | 544 | Human Resources | 2 | 1 | Technical Degree | 1 | 470 | 3 | Male | 52 | 3 | 1 | Human Resources | 3 | Divorced | 2696 | 24017 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 4 | 5 | 3 | 3 | 2 | 1 | 0 |
| 351 | 0 | 32 | Travel_Rarely | 1062 | Research & Development | 2 | 3 | Medical | 1 | 471 | 3 | Female | 75 | 3 | 1 | Laboratory Technician | 2 | Married | 2370 | 3956 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 8 | 4 | 3 | 8 | 0 | 0 | 7 |
| 352 | 0 | 48 | Travel_Rarely | 530 | Sales | 29 | 1 | Medical | 1 | 473 | 1 | Female | 91 | 3 | 3 | Manager | 3 | Married | 12504 | 23978 | 3 | Y | No | 21 | 4 | 2 | 80 | 1 | 15 | 3 | 1 | 0 | 0 | 0 | 0 |
| 353 | 0 | 37 | Travel_Rarely | 1319 | Research & Development | 6 | 3 | Medical | 1 | 474 | 3 | Male | 51 | 4 | 2 | Research Scientist | 1 | Divorced | 5974 | 17001 | 4 | Y | Yes | 13 | 3 | 1 | 80 | 2 | 13 | 2 | 3 | 7 | 7 | 6 | 7 |
| 354 | 0 | 30 | Non-Travel | 641 | Sales | 25 | 2 | Technical Degree | 1 | 475 | 4 | Female | 85 | 3 | 2 | Sales Executive | 3 | Married | 4736 | 6069 | 7 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 4 | 2 | 4 | 2 | 2 | 2 | 2 |
| 355 | 0 | 26 | Travel_Rarely | 933 | Sales | 1 | 3 | Life Sciences | 1 | 476 | 3 | Male | 57 | 3 | 2 | Sales Executive | 3 | Married | 5296 | 20156 | 1 | Y | No | 17 | 3 | 2 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 7 | 7 |
| 356 | 0 | 42 | Travel_Rarely | 1332 | Research & Development | 2 | 4 | Other | 1 | 477 | 1 | Male | 98 | 2 | 2 | Healthcare Representative | 4 | Single | 6781 | 17078 | 3 | Y | No | 23 | 4 | 2 | 80 | 0 | 14 | 6 | 3 | 1 | 0 | 0 | 0 |
| 357 | 1 | 21 | Travel_Frequently | 756 | Sales | 1 | 1 | Technical Degree | 1 | 478 | 1 | Female | 99 | 2 | 1 | Sales Representative | 2 | Single | 2174 | 9150 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 3 | 3 | 3 | 3 | 2 | 1 | 2 |
| 358 | 0 | 36 | Non-Travel | 845 | Sales | 1 | 5 | Medical | 1 | 479 | 4 | Female | 45 | 3 | 2 | Sales Executive | 4 | Single | 6653 | 15276 | 4 | Y | No | 15 | 3 | 2 | 80 | 0 | 7 | 6 | 3 | 1 | 0 | 0 | 0 |
| 359 | 0 | 36 | Travel_Frequently | 541 | Sales | 3 | 4 | Medical | 1 | 481 | 1 | Male | 48 | 2 | 3 | Sales Executive | 4 | Married | 9699 | 7246 | 4 | Y | No | 11 | 3 | 1 | 80 | 1 | 16 | 2 | 3 | 13 | 9 | 1 | 12 |
| 360 | 0 | 57 | Travel_Rarely | 593 | Research & Development | 1 | 4 | Medical | 1 | 482 | 4 | Male | 88 | 3 | 2 | Healthcare Representative | 3 | Married | 6755 | 2967 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 2 | 3 | 3 | 2 | 1 | 2 |
| 361 | 0 | 40 | Travel_Rarely | 1171 | Research & Development | 10 | 4 | Life Sciences | 1 | 483 | 4 | Female | 46 | 4 | 1 | Laboratory Technician | 3 | Married | 2213 | 22495 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 7 | 7 | 1 | 7 |
| 362 | 0 | 21 | Non-Travel | 895 | Sales | 9 | 2 | Medical | 1 | 484 | 1 | Male | 39 | 3 | 1 | Sales Representative | 4 | Single | 2610 | 2851 | 1 | Y | No | 24 | 4 | 3 | 80 | 0 | 3 | 3 | 2 | 3 | 2 | 2 | 2 |
| 363 | 1 | 33 | Travel_Rarely | 350 | Sales | 5 | 3 | Marketing | 1 | 485 | 4 | Female | 34 | 3 | 1 | Sales Representative | 3 | Single | 2851 | 9150 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 364 | 0 | 37 | Travel_Rarely | 921 | Research & Development | 10 | 3 | Medical | 1 | 486 | 3 | Female | 98 | 3 | 1 | Laboratory Technician | 1 | Married | 3452 | 17663 | 6 | Y | No | 20 | 4 | 2 | 80 | 1 | 17 | 3 | 3 | 5 | 4 | 0 | 3 |
| 365 | 0 | 46 | Non-Travel | 1144 | Research & Development | 7 | 4 | Medical | 1 | 487 | 3 | Female | 30 | 3 | 2 | Manufacturing Director | 3 | Married | 5258 | 16044 | 2 | Y | No | 14 | 3 | 3 | 80 | 0 | 7 | 2 | 4 | 1 | 0 | 0 | 0 |
| 366 | 1 | 41 | Travel_Frequently | 143 | Sales | 4 | 3 | Marketing | 1 | 488 | 1 | Male | 56 | 3 | 2 | Sales Executive | 2 | Single | 9355 | 9558 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 8 | 5 | 3 | 8 | 7 | 7 | 7 |
| 367 | 0 | 50 | Travel_Rarely | 1046 | Research & Development | 10 | 3 | Technical Degree | 1 | 491 | 4 | Male | 100 | 2 | 3 | Healthcare Representative | 4 | Single | 10496 | 2755 | 6 | Y | No | 15 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 4 | 3 | 1 | 3 |
| 368 | 1 | 40 | Travel_Rarely | 575 | Sales | 22 | 2 | Marketing | 1 | 492 | 3 | Male | 68 | 2 | 2 | Sales Executive | 3 | Married | 6380 | 6110 | 2 | Y | Yes | 12 | 3 | 1 | 80 | 2 | 8 | 6 | 3 | 6 | 4 | 1 | 0 |
| 369 | 0 | 31 | Travel_Rarely | 408 | Research & Development | 9 | 4 | Life Sciences | 1 | 493 | 3 | Male | 42 | 2 | 1 | Research Scientist | 2 | Single | 2657 | 7551 | 0 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 3 | 5 | 3 | 2 | 2 | 2 | 2 |
| 370 | 1 | 21 | Travel_Rarely | 156 | Sales | 12 | 3 | Life Sciences | 1 | 494 | 3 | Female | 90 | 4 | 1 | Sales Representative | 2 | Single | 2716 | 25422 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 1 | 0 | 3 | 1 | 0 | 0 | 0 |
| 371 | 0 | 29 | Travel_Rarely | 1283 | Research & Development | 23 | 3 | Life Sciences | 1 | 495 | 4 | Male | 54 | 3 | 1 | Research Scientist | 4 | Single | 2201 | 18168 | 9 | Y | No | 16 | 3 | 4 | 80 | 0 | 6 | 4 | 3 | 3 | 2 | 1 | 2 |
| 372 | 0 | 35 | Travel_Rarely | 755 | Research & Development | 9 | 4 | Life Sciences | 1 | 496 | 3 | Male | 97 | 2 | 2 | Healthcare Representative | 2 | Single | 6540 | 19394 | 9 | Y | No | 19 | 3 | 3 | 80 | 0 | 10 | 5 | 3 | 1 | 1 | 0 | 0 |
| 373 | 0 | 27 | Travel_Rarely | 1469 | Research & Development | 1 | 2 | Medical | 1 | 497 | 4 | Male | 82 | 3 | 1 | Laboratory Technician | 2 | Divorced | 3816 | 17881 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 2 | 3 | 5 | 2 | 0 | 4 |
| 374 | 0 | 28 | Travel_Rarely | 304 | Sales | 9 | 4 | Life Sciences | 1 | 498 | 2 | Male | 92 | 3 | 2 | Sales Executive | 4 | Single | 5253 | 20750 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 7 | 1 | 3 | 7 | 5 | 0 | 7 |
| 375 | 0 | 49 | Travel_Rarely | 1261 | Research & Development | 7 | 3 | Other | 1 | 499 | 2 | Male | 31 | 2 | 3 | Healthcare Representative | 3 | Single | 10965 | 12066 | 8 | Y | No | 24 | 4 | 3 | 80 | 0 | 26 | 2 | 3 | 5 | 2 | 0 | 0 |
| 376 | 0 | 51 | Travel_Rarely | 1178 | Sales | 14 | 2 | Life Sciences | 1 | 500 | 3 | Female | 87 | 3 | 2 | Sales Executive | 4 | Married | 4936 | 14862 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 18 | 2 | 2 | 7 | 7 | 0 | 7 |
| 377 | 0 | 36 | Travel_Rarely | 329 | Research & Development | 2 | 3 | Life Sciences | 1 | 501 | 4 | Female | 96 | 3 | 1 | Research Scientist | 3 | Married | 2543 | 11868 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 378 | 1 | 34 | Non-Travel | 1362 | Sales | 19 | 3 | Marketing | 1 | 502 | 1 | Male | 67 | 4 | 2 | Sales Executive | 4 | Single | 5304 | 4652 | 8 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 9 | 3 | 2 | 5 | 2 | 0 | 4 |
| 379 | 0 | 55 | Travel_Rarely | 1311 | Research & Development | 2 | 3 | Life Sciences | 1 | 505 | 3 | Female | 97 | 3 | 4 | Manager | 4 | Single | 16659 | 23258 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 30 | 2 | 3 | 5 | 4 | 1 | 2 |
| 380 | 0 | 24 | Travel_Rarely | 1371 | Sales | 10 | 4 | Marketing | 1 | 507 | 4 | Female | 77 | 3 | 2 | Sales Executive | 3 | Divorced | 4260 | 5915 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 5 | 2 | 4 | 5 | 2 | 0 | 3 |
| 381 | 0 | 30 | Travel_Rarely | 202 | Sales | 2 | 1 | Technical Degree | 1 | 508 | 3 | Male | 72 | 3 | 1 | Sales Representative | 2 | Married | 2476 | 17434 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 382 | 1 | 26 | Travel_Frequently | 575 | Research & Development | 3 | 1 | Technical Degree | 1 | 510 | 3 | Male | 73 | 3 | 1 | Research Scientist | 1 | Single | 3102 | 6582 | 0 | Y | No | 22 | 4 | 3 | 80 | 0 | 7 | 2 | 3 | 6 | 4 | 0 | 4 |
| 383 | 0 | 22 | Travel_Rarely | 253 | Research & Development | 11 | 3 | Medical | 1 | 511 | 1 | Female | 43 | 3 | 1 | Research Scientist | 2 | Married | 2244 | 24440 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 2 | 1 | 3 | 2 | 1 | 1 | 2 |
| 384 | 0 | 36 | Travel_Rarely | 164 | Sales | 2 | 2 | Medical | 1 | 513 | 2 | Male | 61 | 2 | 3 | Sales Executive | 3 | Married | 7596 | 3809 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 10 | 2 | 3 | 10 | 9 | 9 | 0 |
| 385 | 1 | 30 | Travel_Frequently | 464 | Research & Development | 4 | 3 | Technical Degree | 1 | 514 | 3 | Male | 40 | 3 | 1 | Research Scientist | 4 | Single | 2285 | 3427 | 9 | Y | Yes | 23 | 4 | 3 | 80 | 0 | 3 | 4 | 3 | 1 | 0 | 0 | 0 |
| 386 | 0 | 37 | Travel_Rarely | 1107 | Research & Development | 14 | 3 | Life Sciences | 1 | 515 | 4 | Female | 95 | 3 | 1 | Laboratory Technician | 1 | Divorced | 3034 | 26914 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 18 | 2 | 2 | 18 | 7 | 12 | 17 |
| 387 | 0 | 40 | Travel_Rarely | 759 | Sales | 2 | 2 | Marketing | 1 | 516 | 4 | Female | 46 | 3 | 2 | Sales Executive | 2 | Divorced | 5715 | 22553 | 7 | Y | No | 12 | 3 | 3 | 80 | 2 | 8 | 5 | 3 | 5 | 4 | 1 | 3 |
| 388 | 0 | 42 | Travel_Rarely | 201 | Research & Development | 1 | 4 | Life Sciences | 1 | 517 | 2 | Female | 95 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2576 | 20490 | 3 | Y | No | 16 | 3 | 2 | 80 | 1 | 8 | 5 | 3 | 5 | 2 | 1 | 2 |
| 389 | 0 | 37 | Travel_Rarely | 1305 | Research & Development | 10 | 4 | Life Sciences | 1 | 518 | 3 | Male | 49 | 3 | 2 | Manufacturing Director | 2 | Single | 4197 | 21123 | 2 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 18 | 2 | 2 | 1 | 0 | 0 | 1 |
| 390 | 0 | 43 | Travel_Rarely | 982 | Research & Development | 12 | 3 | Life Sciences | 1 | 520 | 1 | Male | 59 | 2 | 4 | Research Director | 2 | Divorced | 14336 | 4345 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 25 | 3 | 3 | 25 | 10 | 3 | 9 |
| 391 | 0 | 40 | Travel_Rarely | 555 | Research & Development | 2 | 3 | Medical | 1 | 521 | 2 | Female | 78 | 2 | 2 | Laboratory Technician | 3 | Married | 3448 | 13436 | 6 | Y | No | 22 | 4 | 2 | 80 | 1 | 20 | 3 | 3 | 1 | 0 | 0 | 0 |
| 392 | 0 | 54 | Travel_Rarely | 821 | Research & Development | 5 | 2 | Medical | 1 | 522 | 1 | Male | 86 | 3 | 5 | Research Director | 1 | Married | 19406 | 8509 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 24 | 4 | 2 | 4 | 2 | 1 | 2 |
| 393 | 0 | 34 | Non-Travel | 1381 | Sales | 4 | 4 | Marketing | 1 | 523 | 3 | Female | 72 | 3 | 2 | Sales Executive | 3 | Married | 6538 | 12740 | 9 | Y | No | 15 | 3 | 1 | 80 | 1 | 6 | 3 | 3 | 3 | 2 | 1 | 2 |
| 394 | 0 | 31 | Travel_Rarely | 480 | Research & Development | 7 | 2 | Medical | 1 | 524 | 2 | Female | 31 | 3 | 2 | Manufacturing Director | 1 | Married | 4306 | 4156 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 13 | 5 | 1 | 13 | 10 | 3 | 12 |
| 395 | 0 | 43 | Travel_Frequently | 313 | Research & Development | 21 | 3 | Medical | 1 | 525 | 4 | Male | 61 | 3 | 1 | Laboratory Technician | 4 | Married | 2258 | 15238 | 7 | Y | No | 20 | 4 | 1 | 80 | 1 | 8 | 1 | 3 | 3 | 2 | 1 | 2 |
| 396 | 0 | 43 | Travel_Rarely | 1473 | Research & Development | 8 | 4 | Other | 1 | 526 | 3 | Female | 74 | 3 | 2 | Healthcare Representative | 3 | Divorced | 4522 | 2227 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 5 | 2 | 0 | 2 |
| 397 | 0 | 25 | Travel_Rarely | 891 | Sales | 4 | 2 | Life Sciences | 1 | 527 | 2 | Female | 99 | 2 | 2 | Sales Executive | 4 | Single | 4487 | 12090 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 1 | 3 |
| 398 | 0 | 37 | Non-Travel | 1063 | Research & Development | 25 | 5 | Medical | 1 | 529 | 2 | Female | 72 | 3 | 2 | Research Scientist | 3 | Married | 4449 | 23866 | 3 | Y | Yes | 15 | 3 | 1 | 80 | 2 | 15 | 2 | 3 | 13 | 11 | 10 | 7 |
| 399 | 0 | 31 | Travel_Rarely | 329 | Research & Development | 1 | 2 | Life Sciences | 1 | 530 | 4 | Male | 98 | 2 | 1 | Laboratory Technician | 1 | Married | 2218 | 16193 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 4 | 2 | 3 | 2 |
| 400 | 0 | 39 | Travel_Frequently | 1218 | Research & Development | 1 | 1 | Life Sciences | 1 | 531 | 2 | Male | 52 | 3 | 5 | Manager | 3 | Divorced | 19197 | 8213 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 21 | 3 | 3 | 21 | 8 | 1 | 6 |
| 401 | 0 | 56 | Travel_Frequently | 906 | Sales | 6 | 3 | Life Sciences | 1 | 532 | 3 | Female | 86 | 4 | 4 | Sales Executive | 1 | Married | 13212 | 18256 | 9 | Y | No | 11 | 3 | 4 | 80 | 3 | 36 | 0 | 2 | 7 | 7 | 7 | 7 |
| 402 | 0 | 30 | Travel_Rarely | 1082 | Sales | 12 | 3 | Technical Degree | 1 | 533 | 2 | Female | 83 | 3 | 2 | Sales Executive | 3 | Single | 6577 | 19558 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 6 | 3 | 5 | 4 | 4 | 4 |
| 403 | 0 | 41 | Travel_Rarely | 645 | Sales | 1 | 3 | Marketing | 1 | 534 | 2 | Male | 49 | 4 | 3 | Sales Executive | 1 | Married | 8392 | 19566 | 1 | Y | No | 16 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 0 | 7 |
| 404 | 0 | 28 | Travel_Rarely | 1300 | Research & Development | 17 | 2 | Medical | 1 | 536 | 3 | Male | 79 | 3 | 2 | Laboratory Technician | 1 | Divorced | 4558 | 13535 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 10 | 0 | 1 | 8 |
| 405 | 1 | 25 | Travel_Rarely | 688 | Research & Development | 3 | 3 | Medical | 1 | 538 | 1 | Male | 91 | 3 | 1 | Laboratory Technician | 1 | Married | 4031 | 9396 | 5 | Y | No | 13 | 3 | 3 | 80 | 1 | 6 | 5 | 3 | 2 | 2 | 0 | 2 |
| 406 | 0 | 52 | Travel_Rarely | 319 | Research & Development | 3 | 3 | Medical | 1 | 543 | 4 | Male | 39 | 2 | 3 | Manufacturing Director | 3 | Married | 7969 | 19609 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 28 | 4 | 3 | 5 | 4 | 0 | 4 |
| 407 | 0 | 45 | Travel_Rarely | 192 | Research & Development | 10 | 2 | Life Sciences | 1 | 544 | 1 | Male | 69 | 3 | 1 | Research Scientist | 4 | Married | 2654 | 9655 | 3 | Y | No | 21 | 4 | 4 | 80 | 2 | 8 | 3 | 2 | 2 | 2 | 0 | 2 |
| 408 | 0 | 52 | Travel_Rarely | 1490 | Research & Development | 4 | 2 | Life Sciences | 1 | 546 | 4 | Female | 30 | 3 | 4 | Manager | 4 | Married | 16555 | 10310 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 31 | 2 | 1 | 5 | 2 | 1 | 4 |
| 409 | 0 | 42 | Travel_Frequently | 532 | Research & Development | 29 | 2 | Life Sciences | 1 | 547 | 1 | Female | 92 | 3 | 2 | Research Scientist | 3 | Divorced | 4556 | 12932 | 2 | Y | No | 11 | 3 | 2 | 80 | 1 | 19 | 3 | 3 | 5 | 4 | 0 | 2 |
| 410 | 0 | 30 | Travel_Rarely | 317 | Research & Development | 2 | 3 | Life Sciences | 1 | 548 | 3 | Female | 43 | 1 | 2 | Manufacturing Director | 4 | Single | 6091 | 24793 | 2 | Y | No | 20 | 4 | 3 | 80 | 0 | 11 | 2 | 3 | 5 | 4 | 0 | 2 |
| 411 | 0 | 60 | Travel_Rarely | 422 | Research & Development | 7 | 3 | Life Sciences | 1 | 549 | 1 | Female | 41 | 3 | 5 | Manager | 1 | Married | 19566 | 3854 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 33 | 5 | 1 | 29 | 8 | 11 | 10 |
| 412 | 0 | 46 | Travel_Rarely | 1485 | Research & Development | 18 | 3 | Medical | 1 | 550 | 3 | Female | 87 | 3 | 2 | Manufacturing Director | 3 | Divorced | 4810 | 26314 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 19 | 5 | 2 | 10 | 7 | 0 | 8 |
| 413 | 0 | 42 | Travel_Frequently | 1368 | Research & Development | 28 | 4 | Technical Degree | 1 | 551 | 4 | Female | 88 | 2 | 2 | Healthcare Representative | 4 | Married | 4523 | 4386 | 0 | Y | No | 11 | 3 | 4 | 80 | 3 | 7 | 4 | 4 | 6 | 5 | 0 | 4 |
| 414 | 1 | 24 | Travel_Rarely | 1448 | Sales | 1 | 1 | Technical Degree | 1 | 554 | 1 | Female | 62 | 3 | 1 | Sales Representative | 2 | Single | 3202 | 21972 | 1 | Y | Yes | 16 | 3 | 2 | 80 | 0 | 6 | 4 | 3 | 5 | 3 | 1 | 4 |
| 415 | 1 | 34 | Travel_Frequently | 296 | Sales | 6 | 2 | Marketing | 1 | 555 | 4 | Female | 33 | 1 | 1 | Sales Representative | 3 | Divorced | 2351 | 12253 | 0 | Y | No | 16 | 3 | 4 | 80 | 1 | 3 | 3 | 2 | 2 | 2 | 1 | 0 |
| 416 | 0 | 38 | Travel_Frequently | 1490 | Research & Development | 2 | 2 | Life Sciences | 1 | 556 | 4 | Male | 42 | 3 | 1 | Laboratory Technician | 4 | Married | 1702 | 12106 | 1 | Y | Yes | 23 | 4 | 3 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 417 | 0 | 40 | Travel_Rarely | 1398 | Sales | 2 | 4 | Life Sciences | 1 | 558 | 3 | Female | 79 | 3 | 5 | Manager | 3 | Married | 18041 | 13022 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 20 | 15 | 1 | 12 |
| 418 | 0 | 26 | Travel_Rarely | 1349 | Research & Development | 23 | 3 | Life Sciences | 1 | 560 | 1 | Female | 90 | 3 | 1 | Research Scientist | 4 | Divorced | 2886 | 3032 | 1 | Y | No | 22 | 4 | 2 | 80 | 2 | 3 | 3 | 1 | 3 | 2 | 0 | 2 |
| 419 | 0 | 30 | Non-Travel | 1400 | Research & Development | 3 | 3 | Life Sciences | 1 | 562 | 3 | Male | 53 | 3 | 1 | Laboratory Technician | 4 | Married | 2097 | 16734 | 4 | Y | No | 15 | 3 | 3 | 80 | 1 | 9 | 3 | 1 | 5 | 3 | 1 | 4 |
| 420 | 0 | 29 | Travel_Rarely | 986 | Research & Development | 3 | 4 | Medical | 1 | 564 | 2 | Male | 93 | 2 | 3 | Research Director | 3 | Married | 11935 | 21526 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 10 | 2 | 0 | 7 |
| 421 | 1 | 29 | Travel_Rarely | 408 | Research & Development | 25 | 5 | Technical Degree | 1 | 565 | 3 | Female | 71 | 2 | 1 | Research Scientist | 2 | Married | 2546 | 18300 | 5 | Y | No | 16 | 3 | 2 | 80 | 0 | 6 | 2 | 4 | 2 | 2 | 1 | 1 |
| 422 | 1 | 19 | Travel_Rarely | 489 | Human Resources | 2 | 2 | Technical Degree | 1 | 566 | 1 | Male | 52 | 2 | 1 | Human Resources | 4 | Single | 2564 | 18437 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 |
| 423 | 0 | 30 | Non-Travel | 1398 | Sales | 22 | 4 | Other | 1 | 567 | 3 | Female | 69 | 3 | 3 | Sales Executive | 1 | Married | 8412 | 2890 | 0 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 9 | 8 | 7 | 8 |
| 424 | 0 | 57 | Travel_Rarely | 210 | Sales | 29 | 3 | Marketing | 1 | 568 | 1 | Male | 56 | 2 | 4 | Manager | 4 | Divorced | 14118 | 22102 | 3 | Y | No | 12 | 3 | 3 | 80 | 1 | 32 | 3 | 2 | 1 | 0 | 0 | 0 |
| 425 | 0 | 50 | Travel_Rarely | 1099 | Research & Development | 29 | 4 | Life Sciences | 1 | 569 | 2 | Male | 88 | 2 | 4 | Manager | 3 | Married | 17046 | 9314 | 0 | Y | No | 15 | 3 | 2 | 80 | 1 | 28 | 2 | 3 | 27 | 10 | 15 | 7 |
| 426 | 0 | 30 | Non-Travel | 1116 | Research & Development | 2 | 3 | Medical | 1 | 571 | 3 | Female | 49 | 3 | 1 | Laboratory Technician | 4 | Single | 2564 | 7181 | 0 | Y | No | 14 | 3 | 3 | 80 | 0 | 12 | 2 | 2 | 11 | 7 | 6 | 7 |
| 427 | 0 | 60 | Travel_Frequently | 1499 | Sales | 28 | 3 | Marketing | 1 | 573 | 3 | Female | 80 | 2 | 3 | Sales Executive | 1 | Married | 10266 | 2845 | 4 | Y | No | 19 | 3 | 4 | 80 | 0 | 22 | 5 | 4 | 18 | 13 | 13 | 11 |
| 428 | 0 | 47 | Travel_Rarely | 983 | Research & Development | 2 | 2 | Medical | 1 | 574 | 1 | Female | 65 | 3 | 2 | Manufacturing Director | 4 | Divorced | 5070 | 7389 | 5 | Y | No | 13 | 3 | 3 | 80 | 3 | 20 | 2 | 3 | 5 | 0 | 0 | 4 |
| 429 | 0 | 46 | Travel_Rarely | 1009 | Research & Development | 2 | 3 | Life Sciences | 1 | 575 | 1 | Male | 51 | 3 | 4 | Research Director | 3 | Married | 17861 | 2288 | 6 | Y | No | 13 | 3 | 3 | 80 | 0 | 26 | 2 | 1 | 3 | 2 | 0 | 1 |
| 430 | 0 | 35 | Travel_Rarely | 144 | Research & Development | 22 | 3 | Life Sciences | 1 | 577 | 4 | Male | 46 | 1 | 1 | Laboratory Technician | 3 | Single | 4230 | 19225 | 0 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 5 | 4 | 4 | 3 |
| 431 | 0 | 54 | Travel_Rarely | 548 | Research & Development | 8 | 4 | Life Sciences | 1 | 578 | 3 | Female | 42 | 3 | 2 | Laboratory Technician | 3 | Single | 3780 | 23428 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 19 | 3 | 3 | 1 | 0 | 0 | 0 |
| 432 | 0 | 34 | Travel_Rarely | 1303 | Research & Development | 2 | 4 | Life Sciences | 1 | 579 | 4 | Male | 62 | 2 | 1 | Research Scientist | 3 | Divorced | 2768 | 8416 | 3 | Y | No | 12 | 3 | 3 | 80 | 1 | 14 | 3 | 3 | 7 | 3 | 5 | 7 |
| 433 | 0 | 46 | Travel_Rarely | 1125 | Sales | 10 | 3 | Marketing | 1 | 580 | 3 | Female | 94 | 2 | 3 | Sales Executive | 4 | Married | 9071 | 11563 | 2 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 15 | 3 | 3 | 3 | 2 | 1 | 2 |
| 434 | 0 | 31 | Travel_Rarely | 1274 | Research & Development | 9 | 1 | Life Sciences | 1 | 581 | 3 | Male | 33 | 3 | 3 | Manufacturing Director | 2 | Divorced | 10648 | 14394 | 1 | Y | No | 25 | 4 | 4 | 80 | 1 | 13 | 6 | 4 | 13 | 8 | 0 | 8 |
| 435 | 1 | 33 | Travel_Rarely | 1277 | Research & Development | 15 | 1 | Medical | 1 | 582 | 2 | Male | 56 | 3 | 3 | Manager | 3 | Married | 13610 | 24619 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 15 | 2 | 4 | 7 | 6 | 7 | 7 |
| 436 | 1 | 33 | Travel_Rarely | 587 | Research & Development | 10 | 1 | Medical | 1 | 584 | 1 | Male | 38 | 1 | 1 | Laboratory Technician | 4 | Divorced | 3408 | 6705 | 7 | Y | No | 13 | 3 | 1 | 80 | 3 | 8 | 2 | 3 | 4 | 3 | 1 | 3 |
| 437 | 0 | 30 | Travel_Rarely | 413 | Sales | 7 | 1 | Marketing | 1 | 585 | 4 | Male | 57 | 3 | 1 | Sales Representative | 2 | Single | 2983 | 18398 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 1 | 2 |
| 438 | 0 | 35 | Travel_Rarely | 1276 | Research & Development | 16 | 3 | Life Sciences | 1 | 586 | 4 | Male | 72 | 3 | 3 | Healthcare Representative | 3 | Married | 7632 | 14295 | 4 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 0 | 0 |
| 439 | 1 | 31 | Travel_Frequently | 534 | Research & Development | 20 | 3 | Life Sciences | 1 | 587 | 1 | Male | 66 | 3 | 3 | Healthcare Representative | 3 | Married | 9824 | 22908 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 12 | 2 | 3 | 1 | 0 | 0 | 0 |
| 440 | 1 | 34 | Travel_Frequently | 988 | Human Resources | 23 | 3 | Human Resources | 1 | 590 | 2 | Female | 43 | 3 | 3 | Human Resources | 1 | Divorced | 9950 | 11533 | 9 | Y | Yes | 15 | 3 | 3 | 80 | 3 | 11 | 2 | 3 | 3 | 2 | 0 | 2 |
| 441 | 0 | 42 | Travel_Frequently | 1474 | Research & Development | 5 | 2 | Other | 1 | 591 | 2 | Male | 97 | 3 | 1 | Laboratory Technician | 3 | Married | 2093 | 9260 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 8 | 4 | 3 | 2 | 2 | 2 | 0 |
| 442 | 0 | 36 | Non-Travel | 635 | Sales | 10 | 4 | Medical | 1 | 592 | 2 | Male | 32 | 3 | 3 | Sales Executive | 4 | Single | 9980 | 15318 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 3 | 2 | 10 | 3 | 9 | 7 |
| 443 | 1 | 22 | Travel_Frequently | 1368 | Research & Development | 4 | 1 | Technical Degree | 1 | 593 | 3 | Male | 99 | 2 | 1 | Laboratory Technician | 3 | Single | 3894 | 9129 | 5 | Y | No | 16 | 3 | 3 | 80 | 0 | 4 | 3 | 3 | 2 | 2 | 1 | 2 |
| 444 | 0 | 48 | Travel_Rarely | 163 | Sales | 2 | 5 | Marketing | 1 | 595 | 2 | Female | 37 | 3 | 2 | Sales Executive | 4 | Married | 4051 | 19658 | 2 | Y | No | 14 | 3 | 1 | 80 | 1 | 14 | 2 | 3 | 9 | 7 | 6 | 7 |
| 445 | 0 | 55 | Travel_Rarely | 1117 | Sales | 18 | 5 | Life Sciences | 1 | 597 | 1 | Female | 83 | 3 | 4 | Manager | 2 | Single | 16835 | 9873 | 3 | Y | No | 23 | 4 | 4 | 80 | 0 | 37 | 2 | 3 | 10 | 9 | 7 | 7 |
| 446 | 0 | 41 | Non-Travel | 267 | Sales | 10 | 2 | Life Sciences | 1 | 599 | 4 | Male | 56 | 3 | 2 | Sales Executive | 4 | Single | 6230 | 13430 | 7 | Y | No | 14 | 3 | 4 | 80 | 0 | 16 | 3 | 3 | 14 | 3 | 1 | 10 |
| 447 | 0 | 35 | Travel_Rarely | 619 | Sales | 1 | 3 | Marketing | 1 | 600 | 2 | Male | 85 | 3 | 2 | Sales Executive | 3 | Married | 4717 | 18659 | 9 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 2 | 3 | 11 | 9 | 6 | 9 |
| 448 | 0 | 40 | Travel_Rarely | 302 | Research & Development | 6 | 3 | Life Sciences | 1 | 601 | 2 | Female | 75 | 3 | 4 | Manufacturing Director | 3 | Single | 13237 | 20364 | 7 | Y | No | 15 | 3 | 3 | 80 | 0 | 22 | 3 | 3 | 20 | 6 | 5 | 13 |
| 449 | 0 | 39 | Travel_Frequently | 443 | Research & Development | 8 | 1 | Life Sciences | 1 | 602 | 3 | Female | 48 | 3 | 1 | Laboratory Technician | 3 | Married | 3755 | 17872 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 8 | 3 | 0 | 7 |
| 450 | 0 | 31 | Travel_Rarely | 828 | Sales | 2 | 1 | Life Sciences | 1 | 604 | 2 | Male | 77 | 3 | 2 | Sales Executive | 4 | Single | 6582 | 8346 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 2 | 4 | 6 | 5 | 0 | 5 |
| 451 | 0 | 42 | Travel_Rarely | 319 | Research & Development | 24 | 3 | Medical | 1 | 605 | 4 | Male | 56 | 3 | 3 | Manufacturing Director | 1 | Married | 7406 | 6950 | 1 | Y | Yes | 21 | 4 | 4 | 80 | 1 | 10 | 5 | 2 | 10 | 9 | 5 | 8 |
| 452 | 0 | 45 | Travel_Rarely | 561 | Sales | 2 | 3 | Other | 1 | 606 | 4 | Male | 61 | 3 | 2 | Sales Executive | 2 | Married | 4805 | 16177 | 0 | Y | No | 19 | 3 | 2 | 80 | 1 | 9 | 3 | 4 | 8 | 7 | 3 | 7 |
| 453 | 1 | 26 | Travel_Frequently | 426 | Human Resources | 17 | 4 | Life Sciences | 1 | 608 | 2 | Female | 58 | 3 | 1 | Human Resources | 3 | Divorced | 2741 | 22808 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 8 | 2 | 2 | 7 | 7 | 1 | 0 |
| 454 | 0 | 29 | Travel_Rarely | 232 | Research & Development | 19 | 3 | Technical Degree | 1 | 611 | 4 | Male | 34 | 3 | 2 | Manufacturing Director | 4 | Divorced | 4262 | 22645 | 4 | Y | No | 12 | 3 | 2 | 80 | 2 | 8 | 2 | 4 | 3 | 2 | 1 | 2 |
| 455 | 0 | 33 | Travel_Rarely | 922 | Research & Development | 1 | 5 | Medical | 1 | 612 | 1 | Female | 95 | 4 | 4 | Research Director | 3 | Divorced | 16184 | 22578 | 4 | Y | No | 19 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 6 | 1 | 0 | 5 |
| 456 | 0 | 31 | Travel_Rarely | 688 | Sales | 7 | 3 | Life Sciences | 1 | 613 | 3 | Male | 44 | 2 | 3 | Manager | 4 | Divorced | 11557 | 25291 | 9 | Y | No | 21 | 4 | 3 | 80 | 1 | 10 | 3 | 2 | 5 | 4 | 0 | 1 |
| 457 | 1 | 18 | Travel_Frequently | 1306 | Sales | 5 | 3 | Marketing | 1 | 614 | 2 | Male | 69 | 3 | 1 | Sales Representative | 2 | Single | 1878 | 8059 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 0 | 3 | 3 | 0 | 0 | 0 | 0 |
| 458 | 0 | 40 | Non-Travel | 1094 | Sales | 28 | 3 | Other | 1 | 615 | 3 | Male | 58 | 1 | 3 | Sales Executive | 1 | Divorced | 10932 | 11373 | 3 | Y | No | 15 | 3 | 3 | 80 | 1 | 20 | 2 | 3 | 1 | 0 | 0 | 1 |
| 459 | 0 | 41 | Non-Travel | 509 | Research & Development | 2 | 4 | Other | 1 | 616 | 1 | Female | 62 | 2 | 2 | Healthcare Representative | 3 | Single | 6811 | 2112 | 2 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 8 | 7 | 0 | 7 |
| 460 | 0 | 26 | Travel_Rarely | 775 | Sales | 29 | 2 | Medical | 1 | 618 | 1 | Male | 45 | 3 | 2 | Sales Executive | 3 | Divorced | 4306 | 4267 | 5 | Y | No | 12 | 3 | 1 | 80 | 2 | 8 | 5 | 3 | 0 | 0 | 0 | 0 |
| 461 | 0 | 35 | Travel_Rarely | 195 | Sales | 1 | 3 | Medical | 1 | 620 | 1 | Female | 80 | 3 | 2 | Sales Executive | 3 | Single | 4859 | 6698 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 3 |
| 462 | 0 | 34 | Travel_Rarely | 258 | Sales | 21 | 4 | Life Sciences | 1 | 621 | 4 | Male | 74 | 4 | 2 | Sales Executive | 4 | Single | 5337 | 19921 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 7 | 5 | 7 |
| 463 | 1 | 26 | Travel_Rarely | 471 | Research & Development | 24 | 3 | Technical Degree | 1 | 622 | 3 | Male | 66 | 1 | 1 | Laboratory Technician | 4 | Single | 2340 | 23213 | 1 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 1 | 3 | 1 | 1 | 0 | 0 | 0 |
| 464 | 0 | 37 | Travel_Rarely | 799 | Research & Development | 1 | 3 | Technical Degree | 1 | 623 | 2 | Female | 59 | 3 | 3 | Manufacturing Director | 4 | Single | 7491 | 23848 | 4 | Y | No | 17 | 3 | 4 | 80 | 0 | 12 | 3 | 4 | 6 | 5 | 1 | 2 |
| 465 | 0 | 46 | Travel_Frequently | 1034 | Research & Development | 18 | 1 | Medical | 1 | 624 | 1 | Female | 86 | 3 | 3 | Healthcare Representative | 3 | Married | 10527 | 8984 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 28 | 3 | 2 | 2 | 2 | 1 | 2 |
| 466 | 0 | 41 | Travel_Rarely | 1276 | Sales | 2 | 5 | Life Sciences | 1 | 625 | 2 | Female | 91 | 3 | 4 | Manager | 1 | Married | 16595 | 5626 | 7 | Y | No | 16 | 3 | 2 | 80 | 1 | 22 | 2 | 3 | 18 | 16 | 11 | 8 |
| 467 | 0 | 37 | Non-Travel | 142 | Sales | 9 | 4 | Medical | 1 | 626 | 1 | Male | 69 | 3 | 3 | Sales Executive | 2 | Divorced | 8834 | 24666 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 9 | 6 | 3 | 9 | 5 | 7 | 7 |
| 468 | 0 | 52 | Travel_Rarely | 956 | Research & Development | 6 | 2 | Technical Degree | 1 | 630 | 4 | Male | 78 | 3 | 2 | Research Scientist | 1 | Divorced | 5577 | 22087 | 3 | Y | Yes | 12 | 3 | 2 | 80 | 2 | 18 | 3 | 3 | 10 | 9 | 6 | 9 |
| 469 | 1 | 32 | Non-Travel | 1474 | Sales | 11 | 4 | Other | 1 | 631 | 4 | Male | 60 | 4 | 2 | Sales Executive | 3 | Married | 4707 | 23914 | 8 | Y | No | 12 | 3 | 4 | 80 | 0 | 6 | 2 | 3 | 4 | 2 | 1 | 2 |
| 470 | 0 | 24 | Travel_Frequently | 535 | Sales | 24 | 3 | Medical | 1 | 632 | 4 | Male | 38 | 3 | 1 | Sales Representative | 4 | Married | 2400 | 5530 | 0 | Y | No | 13 | 3 | 3 | 80 | 2 | 3 | 3 | 3 | 2 | 2 | 2 | 1 |
| 471 | 0 | 38 | Travel_Rarely | 1495 | Research & Development | 10 | 3 | Medical | 1 | 634 | 3 | Female | 76 | 3 | 2 | Healthcare Representative | 3 | Married | 9824 | 22174 | 3 | Y | No | 19 | 3 | 3 | 80 | 1 | 18 | 4 | 3 | 1 | 0 | 0 | 0 |
| 472 | 0 | 37 | Travel_Rarely | 446 | Research & Development | 1 | 4 | Life Sciences | 1 | 635 | 2 | Female | 65 | 3 | 2 | Manufacturing Director | 2 | Married | 6447 | 15701 | 6 | Y | No | 12 | 3 | 2 | 80 | 1 | 8 | 2 | 2 | 6 | 5 | 4 | 3 |
| 473 | 0 | 49 | Travel_Rarely | 1245 | Research & Development | 18 | 4 | Life Sciences | 1 | 638 | 4 | Male | 58 | 2 | 5 | Research Director | 3 | Divorced | 19502 | 2125 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 31 | 5 | 3 | 31 | 9 | 0 | 9 |
| 474 | 0 | 24 | Travel_Rarely | 691 | Research & Development | 23 | 3 | Medical | 1 | 639 | 2 | Male | 89 | 4 | 1 | Research Scientist | 4 | Married | 2725 | 21630 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 6 | 3 | 3 | 6 | 5 | 1 | 4 |
| 475 | 0 | 26 | Travel_Rarely | 703 | Sales | 28 | 2 | Marketing | 1 | 641 | 1 | Male | 66 | 3 | 2 | Sales Executive | 2 | Married | 6272 | 7428 | 1 | Y | No | 20 | 4 | 4 | 80 | 2 | 6 | 5 | 4 | 5 | 3 | 1 | 4 |
| 476 | 0 | 24 | Travel_Rarely | 823 | Research & Development | 17 | 2 | Other | 1 | 643 | 4 | Male | 94 | 2 | 1 | Laboratory Technician | 2 | Married | 2127 | 9100 | 1 | Y | No | 21 | 4 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 477 | 0 | 50 | Travel_Frequently | 1246 | Human Resources | 3 | 3 | Medical | 1 | 644 | 1 | Male | 99 | 3 | 5 | Manager | 2 | Married | 18200 | 7999 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 32 | 2 | 3 | 32 | 5 | 10 | 7 |
| 478 | 0 | 25 | Travel_Rarely | 622 | Sales | 13 | 1 | Medical | 1 | 645 | 2 | Male | 40 | 3 | 1 | Sales Representative | 3 | Married | 2096 | 26376 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 7 | 1 | 3 | 7 | 4 | 0 | 6 |
| 479 | 1 | 24 | Travel_Frequently | 1287 | Research & Development | 7 | 3 | Life Sciences | 1 | 647 | 1 | Female | 55 | 3 | 1 | Laboratory Technician | 3 | Married | 2886 | 14168 | 1 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 4 | 3 | 6 | 3 | 1 | 2 |
| 480 | 1 | 30 | Travel_Frequently | 448 | Sales | 12 | 4 | Life Sciences | 1 | 648 | 2 | Male | 74 | 2 | 1 | Sales Representative | 1 | Married | 2033 | 14470 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 1 | 2 | 4 | 1 | 0 | 0 | 0 |
| 481 | 0 | 34 | Travel_Rarely | 254 | Research & Development | 1 | 2 | Life Sciences | 1 | 649 | 2 | Male | 83 | 2 | 1 | Research Scientist | 4 | Married | 3622 | 22794 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 6 | 5 | 1 | 3 |
| 482 | 1 | 31 | Travel_Rarely | 1365 | Sales | 13 | 4 | Medical | 1 | 650 | 2 | Male | 46 | 3 | 2 | Sales Executive | 1 | Divorced | 4233 | 11512 | 2 | Y | No | 17 | 3 | 3 | 80 | 0 | 9 | 2 | 1 | 3 | 1 | 1 | 2 |
| 483 | 0 | 35 | Travel_Rarely | 538 | Research & Development | 25 | 2 | Other | 1 | 652 | 1 | Male | 54 | 2 | 2 | Laboratory Technician | 4 | Single | 3681 | 14004 | 4 | Y | No | 14 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 3 | 2 | 0 | 2 |
| 484 | 0 | 31 | Travel_Rarely | 525 | Sales | 6 | 4 | Medical | 1 | 653 | 1 | Male | 66 | 4 | 2 | Sales Executive | 4 | Divorced | 5460 | 6219 | 4 | Y | No | 22 | 4 | 4 | 80 | 2 | 13 | 4 | 4 | 7 | 7 | 5 | 7 |
| 485 | 0 | 27 | Travel_Rarely | 798 | Research & Development | 6 | 4 | Medical | 1 | 655 | 1 | Female | 66 | 2 | 1 | Research Scientist | 3 | Divorced | 2187 | 5013 | 0 | Y | No | 12 | 3 | 3 | 80 | 2 | 6 | 5 | 2 | 5 | 3 | 0 | 3 |
| 486 | 0 | 37 | Travel_Rarely | 558 | Sales | 2 | 3 | Marketing | 1 | 656 | 4 | Male | 75 | 3 | 2 | Sales Executive | 3 | Married | 9602 | 3010 | 4 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 17 | 3 | 2 | 3 | 0 | 1 | 0 |
| 487 | 0 | 20 | Travel_Rarely | 959 | Research & Development | 1 | 3 | Life Sciences | 1 | 657 | 4 | Female | 83 | 2 | 1 | Research Scientist | 2 | Single | 2836 | 11757 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 1 | 0 | 4 | 1 | 0 | 0 | 0 |
| 488 | 0 | 42 | Travel_Rarely | 622 | Research & Development | 2 | 4 | Life Sciences | 1 | 659 | 3 | Female | 81 | 3 | 2 | Healthcare Representative | 4 | Married | 4089 | 5718 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 10 | 4 | 3 | 10 | 2 | 2 | 2 |
| 489 | 0 | 43 | Travel_Rarely | 782 | Research & Development | 6 | 4 | Other | 1 | 661 | 2 | Male | 50 | 2 | 4 | Research Director | 4 | Divorced | 16627 | 2671 | 4 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 21 | 3 | 2 | 1 | 0 | 0 | 0 |
| 490 | 0 | 38 | Travel_Rarely | 362 | Research & Development | 1 | 1 | Life Sciences | 1 | 662 | 3 | Female | 43 | 3 | 1 | Research Scientist | 1 | Single | 2619 | 14561 | 3 | Y | No | 17 | 3 | 4 | 80 | 0 | 8 | 3 | 2 | 0 | 0 | 0 | 0 |
| 491 | 0 | 43 | Travel_Frequently | 1001 | Research & Development | 9 | 5 | Medical | 1 | 663 | 4 | Male | 72 | 3 | 2 | Laboratory Technician | 3 | Divorced | 5679 | 19627 | 3 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 10 | 3 | 3 | 8 | 7 | 4 | 7 |
| 492 | 0 | 48 | Travel_Rarely | 1236 | Research & Development | 1 | 4 | Life Sciences | 1 | 664 | 4 | Female | 40 | 2 | 4 | Manager | 1 | Married | 15402 | 17997 | 7 | Y | No | 11 | 3 | 1 | 80 | 1 | 21 | 3 | 1 | 3 | 2 | 0 | 2 |
| 493 | 0 | 44 | Travel_Rarely | 1112 | Human Resources | 1 | 4 | Life Sciences | 1 | 665 | 1 | Female | 50 | 2 | 2 | Human Resources | 3 | Single | 5985 | 26894 | 4 | Y | No | 11 | 3 | 2 | 80 | 0 | 10 | 1 | 4 | 2 | 2 | 0 | 2 |
| 494 | 0 | 34 | Travel_Rarely | 204 | Sales | 14 | 3 | Technical Degree | 1 | 666 | 3 | Female | 31 | 3 | 1 | Sales Representative | 3 | Divorced | 2579 | 2912 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 2 | 8 | 3 | 3 | 8 | 2 | 0 | 6 |
| 495 | 1 | 27 | Travel_Rarely | 1420 | Sales | 2 | 1 | Marketing | 1 | 667 | 3 | Male | 85 | 3 | 1 | Sales Representative | 1 | Divorced | 3041 | 16346 | 0 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 4 | 3 | 0 | 2 |
| 496 | 0 | 21 | Travel_Rarely | 1343 | Sales | 22 | 1 | Technical Degree | 1 | 669 | 3 | Male | 49 | 3 | 1 | Sales Representative | 3 | Single | 3447 | 24444 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 3 | 2 | 1 | 2 |
| 497 | 0 | 44 | Travel_Rarely | 1315 | Research & Development | 3 | 4 | Other | 1 | 671 | 4 | Male | 35 | 3 | 5 | Manager | 4 | Married | 19513 | 9358 | 4 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 26 | 2 | 4 | 2 | 2 | 0 | 1 |
| 498 | 0 | 22 | Travel_Rarely | 604 | Research & Development | 6 | 1 | Medical | 1 | 675 | 1 | Male | 69 | 3 | 1 | Research Scientist | 3 | Married | 2773 | 12145 | 0 | Y | No | 20 | 4 | 4 | 80 | 0 | 3 | 3 | 3 | 2 | 2 | 2 | 2 |
| 499 | 0 | 33 | Travel_Rarely | 1216 | Sales | 8 | 4 | Marketing | 1 | 677 | 3 | Male | 39 | 3 | 2 | Sales Executive | 3 | Divorced | 7104 | 20431 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 5 | 0 | 1 | 2 |
| 500 | 0 | 32 | Travel_Rarely | 646 | Research & Development | 9 | 4 | Life Sciences | 1 | 679 | 1 | Female | 92 | 3 | 2 | Research Scientist | 4 | Married | 6322 | 18089 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 6 | 2 | 2 | 6 | 4 | 0 | 5 |
| 501 | 0 | 30 | Travel_Frequently | 160 | Research & Development | 3 | 3 | Medical | 1 | 680 | 3 | Female | 71 | 3 | 1 | Research Scientist | 3 | Divorced | 2083 | 22653 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 502 | 0 | 53 | Travel_Rarely | 238 | Sales | 1 | 1 | Medical | 1 | 682 | 4 | Female | 34 | 3 | 2 | Sales Executive | 1 | Single | 8381 | 7507 | 7 | Y | No | 20 | 4 | 4 | 80 | 0 | 18 | 2 | 4 | 14 | 7 | 8 | 10 |
| 503 | 0 | 34 | Travel_Rarely | 1397 | Research & Development | 1 | 5 | Life Sciences | 1 | 683 | 2 | Male | 42 | 3 | 1 | Research Scientist | 4 | Married | 2691 | 7660 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 4 | 2 | 10 | 9 | 8 | 8 |
| 504 | 1 | 45 | Travel_Frequently | 306 | Sales | 26 | 4 | Life Sciences | 1 | 684 | 1 | Female | 100 | 3 | 2 | Sales Executive | 1 | Married | 4286 | 5630 | 2 | Y | No | 14 | 3 | 4 | 80 | 2 | 5 | 4 | 3 | 1 | 1 | 0 | 0 |
| 505 | 0 | 26 | Travel_Rarely | 991 | Research & Development | 6 | 3 | Life Sciences | 1 | 686 | 3 | Female | 71 | 3 | 1 | Laboratory Technician | 4 | Married | 2659 | 17759 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 0 | 2 |
| 506 | 0 | 37 | Travel_Rarely | 482 | Research & Development | 3 | 3 | Other | 1 | 689 | 3 | Male | 36 | 3 | 3 | Manufacturing Director | 3 | Married | 9434 | 9606 | 1 | Y | No | 15 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 7 | 8 |
| 507 | 0 | 29 | Travel_Rarely | 1176 | Sales | 3 | 2 | Medical | 1 | 690 | 2 | Female | 62 | 3 | 2 | Sales Executive | 3 | Married | 5561 | 3487 | 1 | Y | No | 14 | 3 | 1 | 80 | 1 | 6 | 5 | 2 | 6 | 0 | 1 | 2 |
| 508 | 0 | 35 | Travel_Rarely | 1017 | Research & Development | 6 | 4 | Life Sciences | 1 | 691 | 2 | Male | 82 | 1 | 2 | Research Scientist | 4 | Single | 6646 | 19368 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 17 | 3 | 3 | 17 | 11 | 11 | 8 |
| 509 | 0 | 33 | Travel_Frequently | 1296 | Research & Development | 6 | 3 | Life Sciences | 1 | 692 | 3 | Male | 30 | 3 | 2 | Healthcare Representative | 4 | Divorced | 7725 | 5335 | 3 | Y | No | 23 | 4 | 3 | 80 | 1 | 15 | 2 | 1 | 13 | 11 | 4 | 7 |
| 510 | 0 | 54 | Travel_Rarely | 397 | Human Resources | 19 | 4 | Medical | 1 | 698 | 3 | Male | 88 | 3 | 3 | Human Resources | 2 | Married | 10725 | 6729 | 2 | Y | No | 15 | 3 | 3 | 80 | 1 | 16 | 1 | 4 | 9 | 7 | 7 | 1 |
| 511 | 0 | 36 | Travel_Rarely | 913 | Research & Development | 9 | 2 | Medical | 1 | 699 | 2 | Male | 48 | 2 | 2 | Manufacturing Director | 2 | Divorced | 8847 | 13934 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 13 | 2 | 3 | 3 | 2 | 0 | 2 |
| 512 | 0 | 27 | Travel_Rarely | 1115 | Research & Development | 3 | 4 | Medical | 1 | 700 | 1 | Male | 54 | 2 | 1 | Research Scientist | 4 | Single | 2045 | 15174 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 5 | 0 | 3 | 4 | 2 | 1 | 1 |
| 513 | 1 | 20 | Travel_Rarely | 1362 | Research & Development | 10 | 1 | Medical | 1 | 701 | 4 | Male | 32 | 3 | 1 | Research Scientist | 3 | Single | 1009 | 26999 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 1 | 1 |
| 514 | 1 | 33 | Travel_Frequently | 1076 | Research & Development | 3 | 3 | Life Sciences | 1 | 702 | 1 | Male | 70 | 3 | 1 | Research Scientist | 1 | Single | 3348 | 3164 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 10 | 8 | 9 | 7 |
| 515 | 0 | 35 | Non-Travel | 727 | Research & Development | 3 | 3 | Life Sciences | 1 | 704 | 3 | Male | 41 | 2 | 1 | Laboratory Technician | 3 | Married | 1281 | 16900 | 1 | Y | No | 18 | 3 | 3 | 80 | 2 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 516 | 0 | 23 | Travel_Rarely | 885 | Research & Development | 4 | 3 | Medical | 1 | 705 | 1 | Male | 58 | 4 | 1 | Research Scientist | 1 | Married | 2819 | 8544 | 2 | Y | No | 16 | 3 | 1 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 0 | 2 |
| 517 | 0 | 25 | Travel_Rarely | 810 | Sales | 8 | 3 | Life Sciences | 1 | 707 | 4 | Male | 57 | 4 | 2 | Sales Executive | 2 | Married | 4851 | 15678 | 0 | Y | No | 22 | 4 | 3 | 80 | 1 | 4 | 4 | 3 | 3 | 2 | 1 | 2 |
| 518 | 0 | 38 | Travel_Rarely | 243 | Sales | 7 | 4 | Marketing | 1 | 709 | 4 | Female | 46 | 2 | 2 | Sales Executive | 4 | Single | 4028 | 7791 | 0 | Y | No | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 7 | 7 | 0 | 5 |
| 519 | 0 | 29 | Travel_Frequently | 806 | Research & Development | 1 | 4 | Life Sciences | 1 | 710 | 2 | Male | 76 | 1 | 1 | Research Scientist | 4 | Divorced | 2720 | 18959 | 1 | Y | No | 18 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 10 | 7 | 2 | 8 |
| 520 | 0 | 48 | Travel_Rarely | 817 | Sales | 2 | 1 | Marketing | 1 | 712 | 2 | Male | 56 | 4 | 2 | Sales Executive | 2 | Married | 8120 | 18597 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 12 | 3 | 3 | 2 | 2 | 2 | 2 |
| 521 | 0 | 27 | Travel_Frequently | 1410 | Sales | 3 | 1 | Medical | 1 | 714 | 4 | Female | 71 | 4 | 2 | Sales Executive | 4 | Divorced | 4647 | 16673 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 2 | 6 | 3 | 3 | 6 | 5 | 0 | 4 |
| 522 | 0 | 37 | Travel_Rarely | 1225 | Research & Development | 10 | 2 | Life Sciences | 1 | 715 | 4 | Male | 80 | 4 | 1 | Research Scientist | 4 | Single | 4680 | 15232 | 3 | Y | No | 17 | 3 | 1 | 80 | 0 | 4 | 2 | 3 | 1 | 0 | 0 | 0 |
| 523 | 0 | 50 | Travel_Rarely | 1207 | Research & Development | 28 | 1 | Medical | 1 | 716 | 4 | Male | 74 | 4 | 1 | Laboratory Technician | 3 | Married | 3221 | 3297 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 3 | 20 | 3 | 3 | 20 | 8 | 3 | 8 |
| 524 | 0 | 34 | Travel_Rarely | 1442 | Research & Development | 9 | 3 | Medical | 1 | 717 | 4 | Female | 46 | 2 | 3 | Healthcare Representative | 2 | Single | 8621 | 17654 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 3 | 4 | 8 | 7 | 7 | 7 |
| 525 | 1 | 24 | Travel_Rarely | 693 | Sales | 3 | 2 | Life Sciences | 1 | 720 | 1 | Female | 65 | 3 | 2 | Sales Executive | 3 | Single | 4577 | 24785 | 9 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 2 | 2 | 2 | 0 |
| 526 | 0 | 39 | Travel_Rarely | 408 | Research & Development | 2 | 4 | Technical Degree | 1 | 721 | 4 | Female | 80 | 2 | 2 | Healthcare Representative | 3 | Single | 4553 | 20978 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 20 | 4 | 3 | 20 | 7 | 11 | 10 |
| 527 | 0 | 32 | Travel_Rarely | 929 | Sales | 10 | 3 | Marketing | 1 | 722 | 4 | Male | 55 | 3 | 2 | Sales Executive | 4 | Single | 5396 | 21703 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 2 | 2 | 10 | 7 | 0 | 8 |
| 528 | 1 | 50 | Travel_Frequently | 562 | Sales | 8 | 2 | Technical Degree | 1 | 723 | 2 | Male | 50 | 3 | 2 | Sales Executive | 3 | Married | 6796 | 23452 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 1 | 18 | 4 | 3 | 4 | 3 | 1 | 3 |
| 529 | 0 | 38 | Travel_Rarely | 827 | Research & Development | 1 | 4 | Life Sciences | 1 | 724 | 2 | Female | 33 | 4 | 2 | Healthcare Representative | 4 | Single | 7625 | 19383 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 10 | 4 | 2 | 9 | 7 | 1 | 8 |
| 530 | 0 | 27 | Travel_Rarely | 608 | Research & Development | 1 | 2 | Life Sciences | 1 | 725 | 3 | Female | 68 | 3 | 3 | Manufacturing Director | 1 | Married | 7412 | 6009 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 7 | 0 | 7 |
| 531 | 0 | 32 | Travel_Rarely | 1018 | Research & Development | 3 | 2 | Life Sciences | 1 | 727 | 3 | Female | 39 | 3 | 3 | Research Director | 4 | Single | 11159 | 19373 | 3 | Y | No | 15 | 3 | 4 | 80 | 0 | 10 | 6 | 3 | 7 | 7 | 7 | 7 |
| 532 | 0 | 47 | Travel_Rarely | 703 | Sales | 14 | 4 | Marketing | 1 | 728 | 4 | Male | 42 | 3 | 2 | Sales Executive | 1 | Single | 4960 | 11825 | 2 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 7 | 7 | 1 | 7 |
| 533 | 0 | 40 | Travel_Frequently | 580 | Sales | 5 | 4 | Life Sciences | 1 | 729 | 4 | Male | 48 | 2 | 3 | Sales Executive | 1 | Married | 10475 | 23772 | 5 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 20 | 2 | 3 | 18 | 13 | 1 | 12 |
| 534 | 0 | 53 | Travel_Rarely | 970 | Research & Development | 7 | 3 | Life Sciences | 1 | 730 | 3 | Male | 59 | 4 | 4 | Research Director | 3 | Married | 14814 | 13514 | 3 | Y | No | 19 | 3 | 3 | 80 | 0 | 32 | 3 | 3 | 5 | 1 | 1 | 3 |
| 535 | 0 | 41 | Travel_Rarely | 427 | Human Resources | 10 | 4 | Human Resources | 1 | 731 | 2 | Male | 73 | 2 | 5 | Manager | 4 | Divorced | 19141 | 8861 | 3 | Y | No | 15 | 3 | 2 | 80 | 3 | 23 | 2 | 2 | 21 | 6 | 12 | 6 |
| 536 | 0 | 60 | Travel_Rarely | 1179 | Sales | 16 | 4 | Marketing | 1 | 732 | 1 | Male | 84 | 3 | 2 | Sales Executive | 1 | Single | 5405 | 11924 | 8 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 1 | 3 | 2 | 2 | 2 | 2 |
| 537 | 0 | 27 | Travel_Frequently | 294 | Research & Development | 10 | 2 | Life Sciences | 1 | 733 | 4 | Male | 32 | 3 | 3 | Manufacturing Director | 1 | Divorced | 8793 | 4809 | 1 | Y | No | 21 | 4 | 3 | 80 | 2 | 9 | 4 | 2 | 9 | 7 | 1 | 7 |
| 538 | 0 | 41 | Travel_Rarely | 314 | Human Resources | 1 | 3 | Human Resources | 1 | 734 | 4 | Male | 59 | 2 | 5 | Manager | 3 | Married | 19189 | 19562 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 22 | 3 | 3 | 22 | 7 | 2 | 10 |
| 539 | 0 | 50 | Travel_Rarely | 316 | Sales | 8 | 4 | Marketing | 1 | 738 | 4 | Male | 54 | 3 | 1 | Sales Representative | 2 | Married | 3875 | 9983 | 7 | Y | No | 15 | 3 | 4 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
| 540 | 1 | 28 | Travel_Rarely | 654 | Research & Development | 1 | 2 | Life Sciences | 1 | 741 | 1 | Female | 67 | 1 | 1 | Research Scientist | 2 | Single | 2216 | 3872 | 7 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 10 | 4 | 3 | 7 | 7 | 3 | 7 |
| 541 | 0 | 36 | Non-Travel | 427 | Research & Development | 8 | 3 | Life Sciences | 1 | 742 | 1 | Female | 63 | 4 | 3 | Research Director | 1 | Married | 11713 | 20335 | 9 | Y | No | 14 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 8 | 7 | 0 | 5 |
| 542 | 0 | 38 | Travel_Rarely | 168 | Research & Development | 1 | 3 | Life Sciences | 1 | 743 | 3 | Female | 81 | 3 | 3 | Manufacturing Director | 3 | Single | 7861 | 15397 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 4 | 4 | 1 | 0 | 0 | 0 |
| 543 | 0 | 44 | Non-Travel | 381 | Research & Development | 24 | 3 | Medical | 1 | 744 | 1 | Male | 49 | 1 | 1 | Laboratory Technician | 3 | Single | 3708 | 2104 | 2 | Y | No | 14 | 3 | 3 | 80 | 0 | 9 | 5 | 3 | 5 | 2 | 1 | 4 |
| 544 | 0 | 47 | Travel_Frequently | 217 | Sales | 3 | 3 | Medical | 1 | 746 | 4 | Female | 49 | 3 | 4 | Sales Executive | 3 | Divorced | 13770 | 10225 | 9 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 28 | 2 | 2 | 22 | 2 | 11 | 13 |
| 545 | 0 | 30 | Travel_Rarely | 501 | Sales | 27 | 5 | Marketing | 1 | 747 | 3 | Male | 99 | 3 | 2 | Sales Executive | 4 | Divorced | 5304 | 25275 | 7 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 2 | 2 | 8 | 7 | 7 | 7 |
| 546 | 0 | 29 | Travel_Rarely | 1396 | Sales | 10 | 3 | Life Sciences | 1 | 749 | 3 | Male | 99 | 3 | 1 | Sales Representative | 3 | Single | 2642 | 2755 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 1 | 6 | 3 | 1 | 0 | 0 | 0 |
| 547 | 1 | 42 | Travel_Frequently | 933 | Research & Development | 19 | 3 | Medical | 1 | 752 | 3 | Male | 57 | 4 | 1 | Research Scientist | 3 | Divorced | 2759 | 20366 | 6 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 7 | 2 | 3 | 2 | 2 | 2 | 2 |
| 548 | 0 | 43 | Travel_Frequently | 775 | Sales | 15 | 3 | Life Sciences | 1 | 754 | 4 | Male | 47 | 2 | 2 | Sales Executive | 4 | Married | 6804 | 23683 | 3 | Y | No | 18 | 3 | 3 | 80 | 1 | 7 | 5 | 3 | 2 | 2 | 2 | 2 |
| 549 | 0 | 34 | Travel_Rarely | 970 | Research & Development | 8 | 2 | Medical | 1 | 757 | 2 | Female | 96 | 3 | 2 | Healthcare Representative | 3 | Single | 6142 | 7360 | 3 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 5 | 1 | 4 | 3 |
| 550 | 0 | 23 | Travel_Rarely | 650 | Research & Development | 9 | 1 | Medical | 1 | 758 | 2 | Male | 37 | 3 | 1 | Laboratory Technician | 1 | Married | 2500 | 4344 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 5 | 2 | 4 | 4 | 3 | 0 | 2 |
| 551 | 0 | 39 | Travel_Rarely | 141 | Human Resources | 3 | 3 | Human Resources | 1 | 760 | 3 | Female | 44 | 4 | 2 | Human Resources | 2 | Married | 6389 | 18767 | 9 | Y | No | 15 | 3 | 3 | 80 | 1 | 12 | 3 | 1 | 8 | 3 | 3 | 6 |
| 552 | 0 | 56 | Travel_Rarely | 832 | Research & Development | 9 | 3 | Medical | 1 | 762 | 3 | Male | 81 | 3 | 4 | Healthcare Representative | 4 | Married | 11103 | 20420 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 30 | 1 | 2 | 10 | 7 | 1 | 1 |
| 553 | 0 | 40 | Travel_Rarely | 804 | Research & Development | 2 | 1 | Medical | 1 | 763 | 4 | Female | 86 | 2 | 1 | Research Scientist | 4 | Single | 2342 | 22929 | 0 | Y | Yes | 20 | 4 | 4 | 80 | 0 | 5 | 2 | 2 | 4 | 2 | 2 | 3 |
| 554 | 0 | 27 | Travel_Rarely | 975 | Research & Development | 7 | 3 | Medical | 1 | 764 | 4 | Female | 55 | 2 | 2 | Healthcare Representative | 1 | Single | 6811 | 23398 | 8 | Y | No | 19 | 3 | 1 | 80 | 0 | 9 | 2 | 1 | 7 | 6 | 0 | 7 |
| 555 | 0 | 29 | Travel_Rarely | 1090 | Sales | 10 | 3 | Marketing | 1 | 766 | 4 | Male | 83 | 3 | 1 | Sales Representative | 2 | Divorced | 2297 | 17967 | 1 | Y | No | 14 | 3 | 4 | 80 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 |
| 556 | 0 | 53 | Travel_Rarely | 346 | Research & Development | 6 | 3 | Life Sciences | 1 | 769 | 4 | Male | 86 | 3 | 2 | Laboratory Technician | 4 | Single | 2450 | 10919 | 2 | Y | No | 17 | 3 | 4 | 80 | 0 | 19 | 4 | 3 | 2 | 2 | 2 | 2 |
| 557 | 0 | 35 | Non-Travel | 1225 | Research & Development | 2 | 4 | Life Sciences | 1 | 771 | 4 | Female | 61 | 3 | 2 | Healthcare Representative | 1 | Divorced | 5093 | 4761 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 16 | 2 | 4 | 1 | 0 | 0 | 0 |
| 558 | 0 | 32 | Travel_Frequently | 430 | Research & Development | 24 | 4 | Life Sciences | 1 | 772 | 1 | Male | 80 | 3 | 2 | Laboratory Technician | 4 | Married | 5309 | 21146 | 1 | Y | No | 15 | 3 | 4 | 80 | 2 | 10 | 2 | 3 | 10 | 8 | 4 | 7 |
| 559 | 0 | 38 | Travel_Rarely | 268 | Research & Development | 2 | 5 | Medical | 1 | 773 | 4 | Male | 92 | 3 | 1 | Research Scientist | 3 | Married | 3057 | 20471 | 6 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 6 | 0 | 1 | 1 | 0 | 0 | 1 |
| 560 | 0 | 34 | Travel_Rarely | 167 | Research & Development | 8 | 5 | Life Sciences | 1 | 775 | 2 | Female | 32 | 3 | 2 | Manufacturing Director | 1 | Divorced | 5121 | 4187 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 7 | 3 | 3 | 0 | 0 | 0 | 0 |
| 561 | 0 | 52 | Travel_Rarely | 621 | Sales | 3 | 4 | Marketing | 1 | 776 | 3 | Male | 31 | 2 | 4 | Manager | 1 | Married | 16856 | 10084 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 34 | 3 | 4 | 34 | 6 | 1 | 16 |
| 562 | 1 | 33 | Travel_Rarely | 527 | Research & Development | 1 | 4 | Other | 1 | 780 | 4 | Male | 63 | 3 | 1 | Research Scientist | 4 | Single | 2686 | 5207 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 9 | 7 | 8 |
| 563 | 0 | 25 | Travel_Rarely | 883 | Sales | 26 | 1 | Medical | 1 | 781 | 3 | Female | 32 | 3 | 2 | Sales Executive | 4 | Single | 6180 | 22807 | 1 | Y | No | 23 | 4 | 2 | 80 | 0 | 6 | 5 | 2 | 6 | 5 | 1 | 4 |
| 564 | 0 | 45 | Travel_Rarely | 954 | Sales | 2 | 2 | Technical Degree | 1 | 783 | 2 | Male | 46 | 1 | 2 | Sales Representative | 3 | Single | 6632 | 12388 | 0 | Y | No | 13 | 3 | 1 | 80 | 0 | 9 | 3 | 3 | 8 | 7 | 3 | 1 |
| 565 | 0 | 23 | Travel_Rarely | 310 | Research & Development | 10 | 1 | Medical | 1 | 784 | 1 | Male | 79 | 4 | 1 | Research Scientist | 3 | Single | 3505 | 19630 | 1 | Y | No | 18 | 3 | 4 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 |
| 566 | 1 | 47 | Travel_Frequently | 719 | Sales | 27 | 2 | Life Sciences | 1 | 785 | 2 | Female | 77 | 4 | 2 | Sales Executive | 3 | Single | 6397 | 10339 | 4 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 5 | 4 | 1 | 3 |
| 567 | 0 | 34 | Travel_Rarely | 304 | Sales | 2 | 3 | Other | 1 | 786 | 4 | Male | 60 | 3 | 2 | Sales Executive | 4 | Single | 6274 | 18686 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 6 | 5 | 3 | 6 | 5 | 1 | 4 |
| 568 | 1 | 55 | Travel_Rarely | 725 | Research & Development | 2 | 3 | Medical | 1 | 787 | 4 | Male | 78 | 3 | 5 | Manager | 1 | Married | 19859 | 21199 | 5 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 24 | 2 | 3 | 5 | 2 | 1 | 4 |
| 569 | 0 | 36 | Non-Travel | 1434 | Sales | 8 | 4 | Life Sciences | 1 | 789 | 1 | Male | 76 | 2 | 3 | Sales Executive | 1 | Single | 7587 | 14229 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 1 | 3 | 10 | 7 | 0 | 9 |
| 570 | 0 | 52 | Non-Travel | 715 | Research & Development | 19 | 4 | Medical | 1 | 791 | 4 | Male | 41 | 3 | 1 | Research Scientist | 4 | Married | 4258 | 26589 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 5 | 3 | 3 | 4 | 3 | 1 | 2 |
| 571 | 0 | 26 | Travel_Frequently | 575 | Research & Development | 1 | 2 | Life Sciences | 1 | 792 | 1 | Female | 71 | 1 | 1 | Laboratory Technician | 4 | Divorced | 4364 | 5288 | 3 | Y | No | 14 | 3 | 1 | 80 | 1 | 5 | 2 | 3 | 2 | 2 | 2 | 0 |
| 572 | 0 | 29 | Travel_Rarely | 657 | Research & Development | 27 | 3 | Medical | 1 | 793 | 2 | Female | 66 | 3 | 2 | Healthcare Representative | 3 | Married | 4335 | 25549 | 4 | Y | No | 12 | 3 | 1 | 80 | 1 | 11 | 3 | 2 | 8 | 7 | 1 | 1 |
| 573 | 1 | 26 | Travel_Rarely | 1146 | Sales | 8 | 3 | Technical Degree | 1 | 796 | 4 | Male | 38 | 2 | 2 | Sales Executive | 1 | Single | 5326 | 3064 | 6 | Y | No | 17 | 3 | 3 | 80 | 0 | 6 | 2 | 2 | 4 | 3 | 1 | 2 |
| 574 | 0 | 34 | Travel_Rarely | 182 | Research & Development | 1 | 4 | Life Sciences | 1 | 797 | 2 | Female | 72 | 4 | 1 | Research Scientist | 4 | Single | 3280 | 13551 | 2 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 4 | 2 | 1 | 3 |
| 575 | 0 | 54 | Travel_Rarely | 376 | Research & Development | 19 | 4 | Medical | 1 | 799 | 4 | Female | 95 | 3 | 2 | Manufacturing Director | 1 | Divorced | 5485 | 22670 | 9 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 9 | 4 | 3 | 5 | 3 | 1 | 4 |
| 576 | 0 | 27 | Travel_Frequently | 829 | Sales | 8 | 1 | Marketing | 1 | 800 | 3 | Male | 84 | 3 | 2 | Sales Executive | 4 | Married | 4342 | 24008 | 0 | Y | No | 19 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 4 | 2 | 1 | 1 |
| 577 | 0 | 37 | Travel_Rarely | 571 | Research & Development | 10 | 1 | Life Sciences | 1 | 802 | 4 | Female | 82 | 3 | 1 | Research Scientist | 1 | Divorced | 2782 | 19905 | 0 | Y | Yes | 13 | 3 | 2 | 80 | 2 | 6 | 3 | 2 | 5 | 3 | 4 | 3 |
| 578 | 0 | 38 | Travel_Frequently | 240 | Research & Development | 2 | 4 | Life Sciences | 1 | 803 | 1 | Female | 75 | 4 | 2 | Manufacturing Director | 1 | Single | 5980 | 26085 | 6 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 17 | 2 | 3 | 15 | 7 | 4 | 12 |
| 579 | 0 | 34 | Travel_Rarely | 121 | Research & Development | 2 | 4 | Medical | 1 | 804 | 3 | Female | 86 | 2 | 1 | Research Scientist | 1 | Single | 4381 | 7530 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 5 | 1 | 3 |
| 580 | 0 | 35 | Travel_Rarely | 384 | Sales | 8 | 4 | Life Sciences | 1 | 805 | 1 | Female | 72 | 3 | 1 | Sales Representative | 4 | Married | 2572 | 20317 | 1 | Y | No | 16 | 3 | 2 | 80 | 1 | 3 | 1 | 2 | 3 | 2 | 0 | 2 |
| 581 | 0 | 30 | Travel_Rarely | 921 | Research & Development | 1 | 3 | Life Sciences | 1 | 806 | 4 | Male | 38 | 1 | 1 | Laboratory Technician | 3 | Married | 3833 | 24375 | 3 | Y | No | 21 | 4 | 3 | 80 | 2 | 7 | 2 | 3 | 2 | 2 | 0 | 2 |
| 582 | 0 | 40 | Travel_Frequently | 791 | Research & Development | 2 | 2 | Medical | 1 | 807 | 3 | Female | 38 | 4 | 2 | Healthcare Representative | 2 | Married | 4244 | 9931 | 1 | Y | No | 24 | 4 | 4 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 3 | 7 |
| 583 | 0 | 34 | Travel_Rarely | 1111 | Sales | 8 | 2 | Life Sciences | 1 | 808 | 3 | Female | 93 | 3 | 2 | Sales Executive | 1 | Married | 6500 | 13305 | 5 | Y | No | 17 | 3 | 2 | 80 | 1 | 6 | 1 | 3 | 3 | 2 | 1 | 2 |
| 584 | 0 | 42 | Travel_Frequently | 570 | Research & Development | 8 | 3 | Life Sciences | 1 | 809 | 2 | Male | 66 | 3 | 5 | Manager | 4 | Divorced | 18430 | 16225 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 24 | 4 | 2 | 24 | 7 | 14 | 9 |
| 585 | 1 | 23 | Travel_Rarely | 1243 | Research & Development | 6 | 3 | Life Sciences | 1 | 811 | 3 | Male | 63 | 4 | 1 | Laboratory Technician | 1 | Married | 1601 | 3445 | 1 | Y | Yes | 21 | 4 | 3 | 80 | 2 | 1 | 2 | 3 | 0 | 0 | 0 | 0 |
| 586 | 0 | 24 | Non-Travel | 1092 | Research & Development | 9 | 3 | Life Sciences | 1 | 812 | 3 | Male | 60 | 2 | 1 | Laboratory Technician | 2 | Divorced | 2694 | 26551 | 1 | Y | No | 11 | 3 | 3 | 80 | 3 | 1 | 4 | 3 | 1 | 0 | 0 | 0 |
| 587 | 0 | 52 | Travel_Rarely | 1325 | Research & Development | 11 | 4 | Life Sciences | 1 | 813 | 4 | Female | 82 | 3 | 2 | Laboratory Technician | 3 | Married | 3149 | 21821 | 8 | Y | No | 20 | 4 | 2 | 80 | 1 | 9 | 3 | 3 | 5 | 2 | 1 | 4 |
| 588 | 0 | 50 | Travel_Rarely | 691 | Research & Development | 2 | 3 | Medical | 1 | 815 | 3 | Male | 64 | 3 | 4 | Research Director | 3 | Married | 17639 | 6881 | 5 | Y | No | 16 | 3 | 4 | 80 | 0 | 30 | 3 | 3 | 4 | 3 | 0 | 3 |
| 589 | 1 | 29 | Travel_Rarely | 805 | Research & Development | 1 | 2 | Life Sciences | 1 | 816 | 2 | Female | 36 | 2 | 1 | Laboratory Technician | 1 | Married | 2319 | 6689 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 1 | 1 | 3 | 1 | 0 | 0 | 0 |
| 590 | 0 | 33 | Travel_Rarely | 213 | Research & Development | 7 | 3 | Medical | 1 | 817 | 3 | Male | 49 | 3 | 3 | Research Director | 3 | Married | 11691 | 25995 | 0 | Y | No | 11 | 3 | 4 | 80 | 0 | 14 | 3 | 4 | 13 | 9 | 3 | 7 |
| 591 | 1 | 33 | Travel_Rarely | 118 | Sales | 16 | 3 | Marketing | 1 | 819 | 1 | Female | 69 | 3 | 2 | Sales Executive | 1 | Single | 5324 | 26507 | 5 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 3 | 2 | 0 | 2 |
| 592 | 0 | 47 | Travel_Rarely | 202 | Research & Development | 2 | 2 | Other | 1 | 820 | 3 | Female | 33 | 3 | 4 | Manager | 4 | Married | 16752 | 12982 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 26 | 3 | 2 | 26 | 14 | 3 | 0 |
| 593 | 0 | 36 | Travel_Rarely | 676 | Research & Development | 1 | 3 | Other | 1 | 823 | 3 | Female | 35 | 3 | 2 | Manufacturing Director | 2 | Married | 5228 | 23361 | 0 | Y | No | 15 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 9 | 7 | 0 | 5 |
| 594 | 0 | 29 | Travel_Rarely | 1252 | Research & Development | 23 | 2 | Life Sciences | 1 | 824 | 3 | Male | 81 | 4 | 1 | Research Scientist | 3 | Married | 2700 | 23779 | 1 | Y | No | 24 | 4 | 3 | 80 | 1 | 10 | 3 | 3 | 10 | 7 | 0 | 7 |
| 595 | 1 | 58 | Travel_Rarely | 286 | Research & Development | 2 | 4 | Life Sciences | 1 | 825 | 4 | Male | 31 | 3 | 5 | Research Director | 2 | Single | 19246 | 25761 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 40 | 2 | 3 | 31 | 15 | 13 | 8 |
| 596 | 0 | 35 | Travel_Rarely | 1258 | Research & Development | 1 | 4 | Life Sciences | 1 | 826 | 4 | Female | 40 | 4 | 1 | Research Scientist | 3 | Single | 2506 | 13301 | 3 | Y | No | 13 | 3 | 3 | 80 | 0 | 7 | 0 | 3 | 2 | 2 | 2 | 2 |
| 597 | 0 | 42 | Travel_Rarely | 932 | Research & Development | 1 | 2 | Life Sciences | 1 | 827 | 4 | Female | 43 | 2 | 2 | Manufacturing Director | 4 | Married | 6062 | 4051 | 9 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 8 | 4 | 3 | 4 | 3 | 0 | 2 |
| 598 | 1 | 28 | Travel_Rarely | 890 | Research & Development | 2 | 4 | Medical | 1 | 828 | 3 | Male | 46 | 3 | 1 | Research Scientist | 3 | Single | 4382 | 16374 | 6 | Y | No | 17 | 3 | 4 | 80 | 0 | 5 | 3 | 2 | 2 | 2 | 2 | 1 |
| 599 | 0 | 36 | Travel_Rarely | 1041 | Human Resources | 13 | 3 | Human Resources | 1 | 829 | 3 | Male | 36 | 3 | 1 | Human Resources | 2 | Married | 2143 | 25527 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 8 | 2 | 3 | 5 | 2 | 0 | 4 |
| 600 | 0 | 32 | Travel_Rarely | 859 | Research & Development | 4 | 3 | Life Sciences | 1 | 830 | 3 | Female | 98 | 2 | 2 | Manufacturing Director | 3 | Married | 6162 | 19124 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 14 | 3 | 3 | 14 | 13 | 6 | 8 |
| 601 | 0 | 40 | Travel_Frequently | 720 | Research & Development | 16 | 4 | Medical | 1 | 832 | 1 | Male | 51 | 2 | 2 | Laboratory Technician | 3 | Single | 5094 | 11983 | 6 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 6 | 3 | 1 | 0 | 0 | 0 |
| 602 | 0 | 30 | Travel_Rarely | 946 | Research & Development | 2 | 3 | Medical | 1 | 833 | 3 | Female | 52 | 2 | 2 | Manufacturing Director | 4 | Single | 6877 | 20234 | 5 | Y | Yes | 24 | 4 | 2 | 80 | 0 | 12 | 4 | 2 | 0 | 0 | 0 | 0 |
| 603 | 0 | 45 | Travel_Rarely | 252 | Research & Development | 2 | 3 | Life Sciences | 1 | 834 | 2 | Female | 95 | 2 | 1 | Research Scientist | 3 | Single | 2274 | 6153 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 604 | 0 | 42 | Travel_Rarely | 933 | Research & Development | 29 | 3 | Life Sciences | 1 | 836 | 2 | Male | 98 | 3 | 2 | Manufacturing Director | 2 | Married | 4434 | 11806 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 9 | 8 | 7 | 8 |
| 605 | 0 | 38 | Travel_Frequently | 471 | Research & Development | 12 | 3 | Life Sciences | 1 | 837 | 1 | Male | 45 | 2 | 2 | Healthcare Representative | 1 | Divorced | 6288 | 4284 | 2 | Y | No | 15 | 3 | 3 | 80 | 1 | 13 | 3 | 2 | 4 | 3 | 1 | 2 |
| 606 | 0 | 34 | Travel_Frequently | 702 | Research & Development | 16 | 4 | Life Sciences | 1 | 838 | 3 | Female | 100 | 2 | 1 | Research Scientist | 4 | Single | 2553 | 8306 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 2 | 1 | 3 |
| 607 | 1 | 49 | Travel_Rarely | 1184 | Sales | 11 | 3 | Marketing | 1 | 840 | 3 | Female | 43 | 3 | 3 | Sales Executive | 4 | Married | 7654 | 5860 | 1 | Y | No | 18 | 3 | 1 | 80 | 2 | 9 | 3 | 4 | 9 | 8 | 7 | 7 |
| 608 | 1 | 55 | Travel_Rarely | 436 | Sales | 2 | 1 | Medical | 1 | 842 | 3 | Male | 37 | 3 | 2 | Sales Executive | 4 | Single | 5160 | 21519 | 4 | Y | No | 16 | 3 | 3 | 80 | 0 | 12 | 3 | 2 | 9 | 7 | 7 | 3 |
| 609 | 0 | 43 | Travel_Rarely | 589 | Research & Development | 14 | 2 | Life Sciences | 1 | 843 | 2 | Male | 94 | 3 | 4 | Research Director | 1 | Married | 17159 | 5200 | 6 | Y | No | 24 | 4 | 3 | 80 | 1 | 22 | 3 | 3 | 4 | 1 | 1 | 0 |
| 610 | 0 | 27 | Travel_Rarely | 269 | Research & Development | 5 | 1 | Technical Degree | 1 | 844 | 3 | Male | 42 | 2 | 3 | Research Director | 4 | Divorced | 12808 | 8842 | 1 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 9 | 3 | 3 | 9 | 8 | 0 | 8 |
| 611 | 0 | 35 | Travel_Rarely | 950 | Research & Development | 7 | 3 | Other | 1 | 845 | 3 | Male | 59 | 3 | 3 | Manufacturing Director | 3 | Single | 10221 | 18869 | 3 | Y | No | 21 | 4 | 2 | 80 | 0 | 17 | 3 | 4 | 8 | 5 | 1 | 6 |
| 612 | 0 | 28 | Travel_Rarely | 760 | Sales | 2 | 4 | Marketing | 1 | 846 | 2 | Female | 81 | 3 | 2 | Sales Executive | 2 | Married | 4779 | 3698 | 1 | Y | Yes | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 8 | 7 | 7 | 5 |
| 613 | 0 | 34 | Travel_Rarely | 829 | Human Resources | 3 | 2 | Human Resources | 1 | 847 | 3 | Male | 88 | 3 | 1 | Human Resources | 4 | Married | 3737 | 2243 | 0 | Y | No | 19 | 3 | 3 | 80 | 1 | 4 | 1 | 1 | 3 | 2 | 0 | 2 |
| 614 | 1 | 26 | Travel_Frequently | 887 | Research & Development | 5 | 2 | Medical | 1 | 848 | 3 | Female | 88 | 2 | 1 | Research Scientist | 3 | Married | 2366 | 20898 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 1 | 7 |
| 615 | 0 | 27 | Non-Travel | 443 | Research & Development | 3 | 3 | Medical | 1 | 850 | 4 | Male | 50 | 3 | 1 | Research Scientist | 4 | Married | 1706 | 16571 | 1 | Y | No | 11 | 3 | 3 | 80 | 3 | 0 | 6 | 2 | 0 | 0 | 0 | 0 |
| 616 | 0 | 51 | Travel_Rarely | 1318 | Sales | 26 | 4 | Marketing | 1 | 851 | 1 | Female | 66 | 3 | 4 | Manager | 3 | Married | 16307 | 5594 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 29 | 2 | 2 | 20 | 6 | 4 | 17 |
| 617 | 0 | 44 | Travel_Rarely | 625 | Research & Development | 4 | 3 | Medical | 1 | 852 | 4 | Male | 50 | 3 | 2 | Healthcare Representative | 2 | Single | 5933 | 5197 | 9 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 2 | 2 | 5 | 2 | 2 | 3 |
| 618 | 0 | 25 | Travel_Rarely | 180 | Research & Development | 2 | 1 | Medical | 1 | 854 | 1 | Male | 65 | 4 | 1 | Research Scientist | 1 | Single | 3424 | 21632 | 7 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 4 | 3 | 0 | 1 |
| 619 | 0 | 33 | Travel_Rarely | 586 | Sales | 1 | 3 | Medical | 1 | 855 | 1 | Male | 48 | 4 | 2 | Sales Executive | 1 | Divorced | 4037 | 21816 | 1 | Y | No | 22 | 4 | 1 | 80 | 1 | 9 | 5 | 3 | 9 | 8 | 0 | 8 |
| 620 | 0 | 35 | Travel_Rarely | 1343 | Research & Development | 27 | 1 | Medical | 1 | 856 | 3 | Female | 53 | 2 | 1 | Research Scientist | 1 | Single | 2559 | 17852 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 6 | 3 | 2 | 6 | 5 | 1 | 1 |
| 621 | 0 | 36 | Travel_Rarely | 928 | Sales | 1 | 2 | Life Sciences | 1 | 857 | 2 | Male | 56 | 3 | 2 | Sales Executive | 4 | Married | 6201 | 2823 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 18 | 1 | 2 | 18 | 14 | 4 | 11 |
| 622 | 0 | 32 | Travel_Rarely | 117 | Sales | 13 | 4 | Life Sciences | 1 | 859 | 2 | Male | 73 | 3 | 2 | Sales Executive | 4 | Divorced | 4403 | 9250 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 8 | 3 | 2 | 5 | 2 | 0 | 3 |
| 623 | 0 | 30 | Travel_Frequently | 1012 | Research & Development | 5 | 4 | Life Sciences | 1 | 861 | 2 | Male | 75 | 2 | 1 | Research Scientist | 4 | Divorced | 3761 | 2373 | 9 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 5 | 4 | 0 | 3 |
| 624 | 0 | 53 | Travel_Rarely | 661 | Sales | 7 | 2 | Marketing | 1 | 862 | 1 | Female | 78 | 2 | 3 | Sales Executive | 4 | Married | 10934 | 20715 | 7 | Y | Yes | 18 | 3 | 4 | 80 | 1 | 35 | 3 | 3 | 5 | 2 | 0 | 4 |
| 625 | 0 | 45 | Travel_Rarely | 930 | Sales | 9 | 3 | Marketing | 1 | 864 | 4 | Male | 74 | 3 | 3 | Sales Executive | 1 | Divorced | 10761 | 19239 | 4 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 18 | 2 | 3 | 5 | 4 | 0 | 2 |
| 626 | 0 | 32 | Travel_Rarely | 638 | Research & Development | 8 | 2 | Medical | 1 | 865 | 3 | Female | 91 | 4 | 2 | Research Scientist | 3 | Married | 5175 | 22162 | 5 | Y | No | 12 | 3 | 3 | 80 | 1 | 9 | 3 | 2 | 5 | 3 | 1 | 3 |
| 627 | 0 | 52 | Travel_Frequently | 890 | Research & Development | 25 | 4 | Medical | 1 | 867 | 3 | Female | 81 | 2 | 4 | Manufacturing Director | 4 | Married | 13826 | 19028 | 3 | Y | No | 22 | 4 | 3 | 80 | 0 | 31 | 3 | 3 | 9 | 8 | 0 | 0 |
| 628 | 0 | 37 | Travel_Rarely | 342 | Sales | 16 | 4 | Marketing | 1 | 868 | 4 | Male | 66 | 2 | 2 | Sales Executive | 3 | Divorced | 6334 | 24558 | 4 | Y | No | 19 | 3 | 4 | 80 | 2 | 9 | 2 | 3 | 1 | 0 | 0 | 0 |
| 629 | 0 | 28 | Travel_Rarely | 1169 | Human Resources | 8 | 2 | Medical | 1 | 869 | 2 | Male | 63 | 2 | 1 | Human Resources | 4 | Divorced | 4936 | 23965 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 6 | 6 | 3 | 5 | 1 | 0 | 4 |
| 630 | 0 | 22 | Travel_Rarely | 1230 | Research & Development | 1 | 2 | Life Sciences | 1 | 872 | 4 | Male | 33 | 2 | 2 | Manufacturing Director | 4 | Married | 4775 | 19146 | 6 | Y | No | 22 | 4 | 1 | 80 | 2 | 4 | 2 | 1 | 2 | 2 | 2 | 2 |
| 631 | 0 | 44 | Travel_Rarely | 986 | Research & Development | 8 | 4 | Life Sciences | 1 | 874 | 1 | Male | 62 | 4 | 1 | Laboratory Technician | 4 | Married | 2818 | 5044 | 2 | Y | Yes | 24 | 4 | 3 | 80 | 1 | 10 | 2 | 2 | 3 | 2 | 0 | 2 |
| 632 | 0 | 42 | Travel_Frequently | 1271 | Research & Development | 2 | 1 | Medical | 1 | 875 | 2 | Male | 35 | 3 | 1 | Research Scientist | 4 | Single | 2515 | 9068 | 5 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 2 | 1 | 2 | 2 |
| 633 | 0 | 36 | Travel_Rarely | 1278 | Human Resources | 8 | 3 | Life Sciences | 1 | 878 | 1 | Male | 77 | 2 | 1 | Human Resources | 1 | Married | 2342 | 8635 | 0 | Y | No | 21 | 4 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 4 | 0 | 3 |
| 634 | 0 | 25 | Travel_Rarely | 141 | Sales | 3 | 1 | Other | 1 | 879 | 3 | Male | 98 | 3 | 2 | Sales Executive | 1 | Married | 4194 | 14363 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 3 | 0 | 3 |
| 635 | 0 | 35 | Travel_Rarely | 607 | Research & Development | 9 | 3 | Life Sciences | 1 | 880 | 4 | Female | 66 | 2 | 3 | Manufacturing Director | 3 | Married | 10685 | 23457 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 17 | 2 | 3 | 17 | 14 | 5 | 15 |
| 636 | 1 | 35 | Travel_Frequently | 130 | Research & Development | 25 | 4 | Life Sciences | 1 | 881 | 4 | Female | 96 | 3 | 1 | Research Scientist | 2 | Divorced | 2022 | 16612 | 1 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 10 | 2 | 7 | 8 |
| 637 | 0 | 32 | Non-Travel | 300 | Research & Development | 1 | 3 | Life Sciences | 1 | 882 | 4 | Male | 61 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2314 | 9148 | 0 | Y | No | 12 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 3 | 0 | 0 | 2 |
| 638 | 0 | 25 | Travel_Rarely | 583 | Sales | 4 | 1 | Marketing | 1 | 885 | 3 | Male | 87 | 2 | 2 | Sales Executive | 1 | Married | 4256 | 18154 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 5 | 1 | 4 | 5 | 2 | 0 | 3 |
| 639 | 0 | 49 | Travel_Rarely | 1418 | Research & Development | 1 | 3 | Technical Degree | 1 | 887 | 3 | Female | 36 | 3 | 1 | Research Scientist | 1 | Married | 3580 | 10554 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 7 | 2 | 3 | 4 | 2 | 0 | 2 |
| 640 | 0 | 24 | Non-Travel | 1269 | Research & Development | 4 | 1 | Life Sciences | 1 | 888 | 1 | Male | 46 | 2 | 1 | Laboratory Technician | 4 | Married | 3162 | 10778 | 0 | Y | No | 17 | 3 | 4 | 80 | 0 | 6 | 2 | 2 | 5 | 2 | 3 | 4 |
| 641 | 0 | 32 | Travel_Frequently | 379 | Sales | 5 | 2 | Life Sciences | 1 | 889 | 2 | Male | 48 | 3 | 2 | Sales Executive | 2 | Married | 6524 | 8891 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 8 | 5 | 3 |
| 642 | 0 | 38 | Travel_Rarely | 395 | Sales | 9 | 3 | Marketing | 1 | 893 | 2 | Male | 98 | 2 | 1 | Sales Representative | 2 | Married | 2899 | 12102 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 3 | 3 | 3 | 2 | 2 | 1 | 2 |
| 643 | 0 | 42 | Travel_Rarely | 1265 | Research & Development | 3 | 3 | Life Sciences | 1 | 894 | 3 | Female | 95 | 4 | 2 | Laboratory Technician | 4 | Married | 5231 | 23726 | 2 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 17 | 1 | 2 | 5 | 3 | 1 | 3 |
| 644 | 0 | 31 | Travel_Rarely | 1222 | Research & Development | 11 | 4 | Life Sciences | 1 | 895 | 4 | Male | 48 | 3 | 1 | Research Scientist | 4 | Married | 2356 | 14871 | 3 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 8 | 2 | 3 | 6 | 4 | 0 | 2 |
| 645 | 1 | 29 | Travel_Rarely | 341 | Sales | 1 | 3 | Medical | 1 | 896 | 2 | Female | 48 | 2 | 1 | Sales Representative | 3 | Divorced | 2800 | 23522 | 6 | Y | Yes | 19 | 3 | 3 | 80 | 3 | 5 | 3 | 3 | 3 | 2 | 0 | 2 |
| 646 | 0 | 53 | Travel_Rarely | 868 | Sales | 8 | 3 | Marketing | 1 | 897 | 1 | Male | 73 | 3 | 4 | Sales Executive | 4 | Married | 11836 | 22789 | 5 | Y | No | 14 | 3 | 3 | 80 | 1 | 28 | 3 | 3 | 2 | 0 | 2 | 2 |
| 647 | 0 | 35 | Travel_Rarely | 672 | Research & Development | 25 | 3 | Technical Degree | 1 | 899 | 4 | Male | 78 | 2 | 3 | Manufacturing Director | 2 | Married | 10903 | 9129 | 3 | Y | No | 16 | 3 | 1 | 80 | 0 | 16 | 2 | 3 | 13 | 10 | 4 | 8 |
| 648 | 0 | 37 | Travel_Frequently | 1231 | Sales | 21 | 2 | Medical | 1 | 900 | 3 | Female | 54 | 3 | 1 | Sales Representative | 4 | Married | 2973 | 21222 | 5 | Y | No | 15 | 3 | 2 | 80 | 1 | 10 | 3 | 3 | 5 | 4 | 0 | 0 |
| 649 | 0 | 53 | Travel_Rarely | 102 | Research & Development | 23 | 4 | Life Sciences | 1 | 901 | 4 | Female | 72 | 3 | 4 | Research Director | 4 | Single | 14275 | 20206 | 6 | Y | No | 18 | 3 | 3 | 80 | 0 | 33 | 0 | 3 | 12 | 9 | 3 | 8 |
| 650 | 0 | 43 | Travel_Frequently | 422 | Research & Development | 1 | 3 | Life Sciences | 1 | 902 | 4 | Female | 33 | 3 | 2 | Healthcare Representative | 4 | Married | 5562 | 21782 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 12 | 2 | 2 | 5 | 2 | 2 | 2 |
| 651 | 0 | 47 | Travel_Rarely | 249 | Sales | 2 | 2 | Marketing | 1 | 903 | 3 | Female | 35 | 3 | 2 | Sales Executive | 4 | Married | 4537 | 17783 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 1 | 8 | 2 | 3 | 7 | 6 | 7 | 7 |
| 652 | 0 | 37 | Non-Travel | 1252 | Sales | 19 | 2 | Medical | 1 | 904 | 1 | Male | 32 | 3 | 3 | Sales Executive | 2 | Single | 7642 | 4814 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 0 | 0 | 9 |
| 653 | 0 | 50 | Non-Travel | 881 | Research & Development | 2 | 4 | Life Sciences | 1 | 905 | 1 | Male | 98 | 3 | 4 | Manager | 1 | Divorced | 17924 | 4544 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 31 | 3 | 3 | 31 | 6 | 14 | 7 |
| 654 | 0 | 39 | Travel_Rarely | 1383 | Human Resources | 2 | 3 | Life Sciences | 1 | 909 | 4 | Female | 42 | 2 | 2 | Human Resources | 4 | Married | 5204 | 7790 | 8 | Y | No | 11 | 3 | 3 | 80 | 2 | 13 | 2 | 3 | 5 | 4 | 0 | 4 |
| 655 | 0 | 33 | Travel_Rarely | 1075 | Human Resources | 3 | 2 | Human Resources | 1 | 910 | 4 | Male | 57 | 3 | 1 | Human Resources | 2 | Divorced | 2277 | 22650 | 3 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 7 | 4 | 4 | 4 | 3 | 0 | 3 |
| 656 | 1 | 32 | Travel_Rarely | 374 | Research & Development | 25 | 4 | Life Sciences | 1 | 911 | 1 | Male | 87 | 3 | 1 | Laboratory Technician | 4 | Single | 2795 | 18016 | 1 | Y | Yes | 24 | 4 | 3 | 80 | 0 | 1 | 2 | 1 | 1 | 0 | 0 | 1 |
| 657 | 0 | 29 | Travel_Rarely | 1086 | Research & Development | 7 | 1 | Medical | 1 | 912 | 1 | Female | 62 | 2 | 1 | Laboratory Technician | 4 | Divorced | 2532 | 6054 | 6 | Y | No | 14 | 3 | 3 | 80 | 3 | 8 | 5 | 3 | 4 | 3 | 0 | 3 |
| 658 | 0 | 44 | Travel_Rarely | 661 | Research & Development | 9 | 2 | Life Sciences | 1 | 913 | 2 | Male | 61 | 3 | 1 | Research Scientist | 1 | Married | 2559 | 7508 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 8 | 0 | 3 | 8 | 7 | 7 | 1 |
| 659 | 0 | 28 | Travel_Rarely | 821 | Sales | 5 | 4 | Medical | 1 | 916 | 1 | Male | 98 | 3 | 2 | Sales Executive | 4 | Single | 4908 | 24252 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 4 | 3 | 3 | 4 | 2 | 0 | 2 |
| 660 | 1 | 58 | Travel_Frequently | 781 | Research & Development | 2 | 1 | Life Sciences | 1 | 918 | 4 | Male | 57 | 2 | 1 | Laboratory Technician | 4 | Divorced | 2380 | 13384 | 9 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 3 | 2 | 1 | 0 | 0 | 0 |
| 661 | 0 | 43 | Travel_Rarely | 177 | Research & Development | 8 | 3 | Life Sciences | 1 | 920 | 1 | Female | 55 | 3 | 2 | Manufacturing Director | 2 | Divorced | 4765 | 23814 | 4 | Y | No | 21 | 4 | 3 | 80 | 1 | 4 | 2 | 4 | 1 | 0 | 0 | 0 |
| 662 | 1 | 20 | Travel_Rarely | 500 | Sales | 2 | 3 | Medical | 1 | 922 | 3 | Female | 49 | 2 | 1 | Sales Representative | 3 | Single | 2044 | 22052 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 0 | 2 |
| 663 | 1 | 21 | Travel_Rarely | 1427 | Research & Development | 18 | 1 | Other | 1 | 923 | 4 | Female | 65 | 3 | 1 | Research Scientist | 4 | Single | 2693 | 8870 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 0 | 0 |
| 664 | 0 | 36 | Travel_Rarely | 1425 | Research & Development | 14 | 1 | Life Sciences | 1 | 924 | 3 | Male | 68 | 3 | 2 | Healthcare Representative | 4 | Married | 6586 | 4821 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 17 | 2 | 2 | 16 | 8 | 4 | 11 |
| 665 | 0 | 47 | Travel_Rarely | 1454 | Sales | 2 | 4 | Life Sciences | 1 | 925 | 4 | Female | 65 | 2 | 1 | Sales Representative | 4 | Single | 3294 | 13137 | 1 | Y | Yes | 18 | 3 | 1 | 80 | 0 | 3 | 3 | 2 | 3 | 2 | 1 | 2 |
| 666 | 1 | 22 | Travel_Rarely | 617 | Research & Development | 3 | 1 | Life Sciences | 1 | 926 | 2 | Female | 34 | 3 | 2 | Manufacturing Director | 3 | Married | 4171 | 10022 | 0 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 4 | 3 | 4 | 3 | 2 | 0 | 2 |
| 667 | 1 | 41 | Travel_Rarely | 1085 | Research & Development | 2 | 4 | Life Sciences | 1 | 927 | 2 | Female | 57 | 1 | 1 | Laboratory Technician | 4 | Divorced | 2778 | 17725 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 1 | 2 | 7 | 7 | 1 | 0 |
| 668 | 0 | 28 | Travel_Rarely | 995 | Research & Development | 9 | 3 | Medical | 1 | 930 | 3 | Female | 77 | 3 | 1 | Research Scientist | 3 | Divorced | 2377 | 9834 | 5 | Y | No | 18 | 3 | 2 | 80 | 1 | 6 | 2 | 3 | 2 | 2 | 2 | 2 |
| 669 | 1 | 39 | Travel_Rarely | 1122 | Research & Development | 6 | 3 | Medical | 1 | 932 | 4 | Male | 70 | 3 | 1 | Laboratory Technician | 1 | Married | 2404 | 4303 | 7 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 8 | 2 | 1 | 2 | 2 | 2 | 2 |
| 670 | 0 | 27 | Travel_Rarely | 618 | Research & Development | 4 | 3 | Life Sciences | 1 | 933 | 2 | Female | 76 | 3 | 1 | Research Scientist | 3 | Single | 2318 | 17808 | 1 | Y | No | 19 | 3 | 3 | 80 | 0 | 1 | 2 | 3 | 1 | 1 | 0 | 0 |
| 671 | 0 | 34 | Travel_Rarely | 546 | Research & Development | 10 | 3 | Life Sciences | 1 | 934 | 2 | Male | 83 | 3 | 1 | Laboratory Technician | 2 | Divorced | 2008 | 6896 | 1 | Y | No | 14 | 3 | 2 | 80 | 2 | 1 | 3 | 3 | 1 | 0 | 1 | 0 |
| 672 | 0 | 42 | Travel_Rarely | 462 | Sales | 14 | 2 | Medical | 1 | 936 | 3 | Female | 68 | 2 | 2 | Sales Executive | 3 | Single | 6244 | 7824 | 7 | Y | No | 17 | 3 | 1 | 80 | 0 | 10 | 6 | 3 | 5 | 4 | 0 | 3 |
| 673 | 0 | 33 | Travel_Rarely | 1198 | Research & Development | 1 | 4 | Other | 1 | 939 | 3 | Male | 100 | 2 | 1 | Research Scientist | 1 | Single | 2799 | 3339 | 3 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 6 | 1 | 3 | 3 | 2 | 0 | 2 |
| 674 | 0 | 58 | Travel_Rarely | 1272 | Research & Development | 5 | 3 | Technical Degree | 1 | 940 | 3 | Female | 37 | 2 | 3 | Healthcare Representative | 2 | Divorced | 10552 | 9255 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 24 | 3 | 3 | 6 | 0 | 0 | 4 |
| 675 | 0 | 31 | Travel_Rarely | 154 | Sales | 7 | 4 | Life Sciences | 1 | 941 | 2 | Male | 41 | 2 | 1 | Sales Representative | 3 | Married | 2329 | 11737 | 3 | Y | No | 15 | 3 | 2 | 80 | 0 | 13 | 2 | 4 | 7 | 7 | 5 | 2 |
| 676 | 0 | 35 | Travel_Rarely | 1137 | Research & Development | 21 | 1 | Life Sciences | 1 | 942 | 4 | Female | 51 | 3 | 2 | Healthcare Representative | 4 | Married | 4014 | 19170 | 1 | Y | Yes | 25 | 4 | 4 | 80 | 1 | 10 | 2 | 1 | 10 | 6 | 0 | 7 |
| 677 | 0 | 49 | Travel_Rarely | 527 | Research & Development | 8 | 2 | Other | 1 | 944 | 1 | Female | 51 | 3 | 3 | Laboratory Technician | 2 | Married | 7403 | 22477 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 29 | 3 | 2 | 26 | 9 | 1 | 7 |
| 678 | 0 | 48 | Travel_Rarely | 1469 | Research & Development | 20 | 4 | Medical | 1 | 945 | 4 | Male | 51 | 3 | 1 | Research Scientist | 3 | Married | 2259 | 5543 | 4 | Y | No | 17 | 3 | 1 | 80 | 2 | 13 | 2 | 2 | 0 | 0 | 0 | 0 |
| 679 | 0 | 31 | Non-Travel | 1188 | Sales | 20 | 2 | Marketing | 1 | 947 | 4 | Female | 45 | 3 | 2 | Sales Executive | 3 | Married | 6932 | 24406 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 9 | 2 | 2 | 9 | 8 | 0 | 0 |
| 680 | 0 | 36 | Travel_Rarely | 188 | Research & Development | 7 | 4 | Other | 1 | 949 | 2 | Male | 65 | 3 | 1 | Research Scientist | 4 | Single | 4678 | 23293 | 2 | Y | No | 18 | 3 | 3 | 80 | 0 | 8 | 6 | 3 | 6 | 2 | 0 | 1 |
| 681 | 0 | 38 | Travel_Rarely | 1333 | Research & Development | 1 | 3 | Technical Degree | 1 | 950 | 4 | Female | 80 | 3 | 3 | Research Director | 1 | Married | 13582 | 16292 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 15 | 12 | 5 | 11 |
| 682 | 0 | 32 | Non-Travel | 1184 | Research & Development | 1 | 3 | Life Sciences | 1 | 951 | 3 | Female | 70 | 2 | 1 | Laboratory Technician | 2 | Married | 2332 | 3974 | 6 | Y | No | 20 | 4 | 3 | 80 | 0 | 5 | 3 | 3 | 3 | 0 | 0 | 2 |
| 683 | 1 | 25 | Travel_Rarely | 867 | Sales | 19 | 2 | Marketing | 1 | 952 | 3 | Male | 36 | 2 | 1 | Sales Representative | 2 | Married | 2413 | 18798 | 1 | Y | Yes | 18 | 3 | 3 | 80 | 3 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 684 | 0 | 40 | Travel_Rarely | 658 | Sales | 10 | 4 | Marketing | 1 | 954 | 1 | Male | 67 | 2 | 3 | Sales Executive | 2 | Divorced | 9705 | 20652 | 2 | Y | No | 12 | 3 | 2 | 80 | 1 | 11 | 2 | 2 | 1 | 0 | 0 | 0 |
| 685 | 0 | 26 | Travel_Frequently | 1283 | Sales | 1 | 3 | Medical | 1 | 956 | 3 | Male | 52 | 2 | 2 | Sales Executive | 1 | Single | 4294 | 11148 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 7 | 2 | 3 | 7 | 7 | 0 | 7 |
| 686 | 0 | 41 | Travel_Rarely | 263 | Research & Development | 6 | 3 | Medical | 1 | 957 | 4 | Male | 59 | 3 | 1 | Laboratory Technician | 1 | Single | 4721 | 3119 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 20 | 3 | 3 | 18 | 13 | 2 | 17 |
| 687 | 0 | 36 | Travel_Rarely | 938 | Research & Development | 2 | 4 | Medical | 1 | 958 | 3 | Male | 79 | 3 | 1 | Laboratory Technician | 3 | Single | 2519 | 12287 | 4 | Y | No | 21 | 4 | 3 | 80 | 0 | 16 | 6 | 3 | 11 | 8 | 3 | 9 |
| 688 | 1 | 19 | Travel_Rarely | 419 | Sales | 21 | 3 | Other | 1 | 959 | 4 | Male | 37 | 2 | 1 | Sales Representative | 2 | Single | 2121 | 9947 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 |
| 689 | 1 | 20 | Travel_Rarely | 129 | Research & Development | 4 | 3 | Technical Degree | 1 | 960 | 1 | Male | 84 | 3 | 1 | Laboratory Technician | 1 | Single | 2973 | 13008 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 690 | 0 | 31 | Travel_Rarely | 616 | Research & Development | 12 | 3 | Medical | 1 | 961 | 4 | Female | 41 | 3 | 2 | Healthcare Representative | 4 | Married | 5855 | 17369 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 2 | 10 | 2 | 1 | 9 | 7 | 8 | 5 |
| 691 | 0 | 40 | Travel_Frequently | 1469 | Research & Development | 9 | 4 | Medical | 1 | 964 | 4 | Male | 35 | 3 | 1 | Research Scientist | 2 | Divorced | 3617 | 25063 | 8 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 1 | 1 | 0 | 0 |
| 692 | 0 | 32 | Travel_Rarely | 498 | Research & Development | 3 | 4 | Medical | 1 | 966 | 3 | Female | 93 | 3 | 2 | Manufacturing Director | 1 | Married | 6725 | 13554 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 8 | 2 | 4 | 8 | 7 | 6 | 3 |
| 693 | 1 | 36 | Travel_Rarely | 530 | Sales | 3 | 1 | Life Sciences | 1 | 967 | 3 | Male | 51 | 2 | 3 | Sales Executive | 4 | Married | 10325 | 5518 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 16 | 6 | 3 | 16 | 7 | 3 | 7 |
| 694 | 0 | 33 | Travel_Rarely | 1069 | Research & Development | 1 | 3 | Life Sciences | 1 | 969 | 2 | Female | 42 | 2 | 2 | Healthcare Representative | 4 | Single | 6949 | 12291 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 5 | 0 | 1 | 4 |
| 695 | 1 | 37 | Travel_Rarely | 625 | Sales | 1 | 4 | Life Sciences | 1 | 970 | 1 | Male | 46 | 2 | 3 | Sales Executive | 3 | Married | 10609 | 14922 | 5 | Y | No | 11 | 3 | 3 | 80 | 0 | 17 | 2 | 1 | 14 | 1 | 11 | 7 |
| 696 | 0 | 45 | Non-Travel | 805 | Research & Development | 4 | 2 | Life Sciences | 1 | 972 | 3 | Male | 57 | 3 | 2 | Laboratory Technician | 2 | Married | 4447 | 23163 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 9 | 5 | 2 | 9 | 7 | 0 | 8 |
| 697 | 0 | 29 | Travel_Frequently | 1404 | Sales | 20 | 3 | Technical Degree | 1 | 974 | 3 | Female | 84 | 3 | 1 | Sales Representative | 4 | Married | 2157 | 18203 | 1 | Y | No | 15 | 3 | 2 | 80 | 1 | 3 | 5 | 3 | 3 | 1 | 0 | 2 |
| 698 | 0 | 35 | Travel_Rarely | 1219 | Sales | 18 | 3 | Medical | 1 | 975 | 3 | Female | 86 | 3 | 2 | Sales Executive | 3 | Married | 4601 | 6179 | 1 | Y | No | 16 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 2 | 1 | 0 |
| 699 | 0 | 52 | Travel_Rarely | 1053 | Research & Development | 1 | 2 | Life Sciences | 1 | 976 | 4 | Male | 70 | 3 | 4 | Manager | 4 | Married | 17099 | 13829 | 2 | Y | No | 15 | 3 | 2 | 80 | 1 | 26 | 2 | 2 | 9 | 8 | 7 | 8 |
| 700 | 1 | 58 | Travel_Rarely | 289 | Research & Development | 2 | 3 | Technical Degree | 1 | 977 | 4 | Male | 51 | 3 | 1 | Research Scientist | 3 | Single | 2479 | 26227 | 4 | Y | No | 24 | 4 | 1 | 80 | 0 | 7 | 4 | 3 | 1 | 0 | 0 | 0 |
| 701 | 0 | 53 | Travel_Rarely | 1376 | Sales | 2 | 2 | Medical | 1 | 981 | 3 | Male | 45 | 3 | 4 | Manager | 3 | Divorced | 14852 | 13938 | 6 | Y | No | 13 | 3 | 3 | 80 | 1 | 22 | 3 | 4 | 17 | 13 | 15 | 2 |
| 702 | 0 | 30 | Travel_Rarely | 231 | Sales | 8 | 2 | Other | 1 | 982 | 3 | Male | 62 | 3 | 3 | Sales Executive | 3 | Divorced | 7264 | 9977 | 5 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 4 | 8 | 4 | 7 | 7 |
| 703 | 0 | 38 | Non-Travel | 152 | Sales | 10 | 3 | Technical Degree | 1 | 983 | 3 | Female | 85 | 3 | 2 | Sales Executive | 4 | Single | 5666 | 19899 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 6 | 1 | 3 | 5 | 3 | 1 | 3 |
| 704 | 0 | 35 | Travel_Rarely | 882 | Sales | 3 | 4 | Life Sciences | 1 | 984 | 4 | Male | 92 | 3 | 3 | Sales Executive | 4 | Divorced | 7823 | 6812 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 12 | 2 | 3 | 10 | 9 | 0 | 8 |
| 705 | 0 | 39 | Travel_Rarely | 903 | Sales | 2 | 5 | Life Sciences | 1 | 985 | 1 | Male | 41 | 4 | 3 | Sales Executive | 3 | Single | 7880 | 2560 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 8 | 7 | 0 | 7 |
| 706 | 1 | 40 | Non-Travel | 1479 | Sales | 24 | 3 | Life Sciences | 1 | 986 | 2 | Female | 100 | 4 | 4 | Sales Executive | 2 | Single | 13194 | 17071 | 4 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 22 | 2 | 2 | 1 | 0 | 0 | 0 |
| 707 | 0 | 47 | Travel_Frequently | 1379 | Research & Development | 16 | 4 | Medical | 1 | 987 | 3 | Male | 64 | 4 | 2 | Manufacturing Director | 3 | Divorced | 5067 | 6759 | 1 | Y | Yes | 19 | 3 | 3 | 80 | 0 | 20 | 3 | 4 | 19 | 10 | 2 | 7 |
| 708 | 0 | 36 | Non-Travel | 1229 | Sales | 8 | 4 | Technical Degree | 1 | 990 | 1 | Male | 84 | 3 | 2 | Sales Executive | 4 | Divorced | 5079 | 25952 | 4 | Y | No | 13 | 3 | 4 | 80 | 2 | 12 | 3 | 3 | 7 | 7 | 0 | 7 |
| 709 | 1 | 31 | Non-Travel | 335 | Research & Development | 9 | 2 | Medical | 1 | 991 | 3 | Male | 46 | 2 | 1 | Research Scientist | 1 | Single | 2321 | 10322 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 0 | 4 | 0 | 3 | 3 | 2 | 1 | 2 |
| 710 | 0 | 33 | Non-Travel | 722 | Sales | 17 | 3 | Life Sciences | 1 | 992 | 4 | Male | 38 | 3 | 4 | Manager | 3 | Single | 17444 | 20489 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 6 | 0 |
| 711 | 1 | 29 | Travel_Rarely | 906 | Research & Development | 10 | 3 | Life Sciences | 1 | 994 | 4 | Female | 92 | 2 | 1 | Research Scientist | 1 | Single | 2404 | 11479 | 6 | Y | Yes | 20 | 4 | 3 | 80 | 0 | 3 | 5 | 3 | 0 | 0 | 0 | 0 |
| 712 | 0 | 33 | Travel_Rarely | 461 | Research & Development | 13 | 1 | Life Sciences | 1 | 995 | 2 | Female | 53 | 3 | 1 | Research Scientist | 4 | Single | 3452 | 17241 | 3 | Y | No | 18 | 3 | 1 | 80 | 0 | 5 | 4 | 3 | 3 | 2 | 0 | 2 |
| 713 | 0 | 45 | Travel_Rarely | 974 | Research & Development | 1 | 4 | Medical | 1 | 996 | 4 | Female | 91 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2270 | 11005 | 3 | Y | No | 14 | 3 | 4 | 80 | 2 | 8 | 2 | 3 | 5 | 3 | 0 | 2 |
| 714 | 0 | 50 | Travel_Rarely | 1126 | Research & Development | 1 | 2 | Medical | 1 | 997 | 4 | Male | 66 | 3 | 4 | Research Director | 4 | Divorced | 17399 | 6615 | 9 | Y | No | 22 | 4 | 3 | 80 | 1 | 32 | 1 | 2 | 5 | 4 | 1 | 3 |
| 715 | 0 | 33 | Travel_Frequently | 827 | Research & Development | 1 | 4 | Other | 1 | 998 | 3 | Female | 84 | 4 | 2 | Healthcare Representative | 2 | Married | 5488 | 20161 | 1 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 6 | 2 | 3 | 6 | 5 | 1 | 2 |
| 716 | 0 | 41 | Travel_Frequently | 840 | Research & Development | 9 | 3 | Medical | 1 | 999 | 1 | Male | 64 | 3 | 5 | Research Director | 3 | Divorced | 19419 | 3735 | 2 | Y | No | 17 | 3 | 2 | 80 | 1 | 21 | 2 | 4 | 18 | 16 | 0 | 11 |
| 717 | 0 | 27 | Travel_Rarely | 1134 | Research & Development | 16 | 4 | Technical Degree | 1 | 1001 | 3 | Female | 37 | 3 | 1 | Laboratory Technician | 2 | Married | 2811 | 12086 | 9 | Y | No | 14 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
| 718 | 0 | 45 | Non-Travel | 248 | Research & Development | 23 | 2 | Life Sciences | 1 | 1002 | 4 | Male | 42 | 3 | 2 | Laboratory Technician | 1 | Married | 3633 | 14039 | 1 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 9 | 8 | 0 | 8 |
| 719 | 0 | 47 | Travel_Rarely | 955 | Sales | 4 | 2 | Life Sciences | 1 | 1003 | 4 | Female | 83 | 3 | 2 | Sales Executive | 4 | Single | 4163 | 8571 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 9 | 0 | 3 | 9 | 0 | 0 | 7 |
| 720 | 1 | 30 | Travel_Rarely | 138 | Research & Development | 22 | 3 | Life Sciences | 1 | 1004 | 1 | Female | 48 | 3 | 1 | Research Scientist | 3 | Married | 2132 | 11539 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 7 | 2 | 3 | 5 | 2 | 0 | 1 |
| 721 | 0 | 50 | Travel_Rarely | 939 | Research & Development | 24 | 3 | Life Sciences | 1 | 1005 | 4 | Male | 95 | 3 | 4 | Manufacturing Director | 3 | Married | 13973 | 4161 | 3 | Y | Yes | 18 | 3 | 4 | 80 | 1 | 22 | 2 | 3 | 12 | 11 | 1 | 5 |
| 722 | 0 | 38 | Travel_Frequently | 1391 | Research & Development | 10 | 1 | Medical | 1 | 1006 | 3 | Male | 66 | 3 | 1 | Research Scientist | 3 | Married | 2684 | 12127 | 0 | Y | No | 17 | 3 | 2 | 80 | 1 | 3 | 0 | 2 | 2 | 1 | 0 | 2 |
| 723 | 0 | 46 | Travel_Rarely | 566 | Research & Development | 7 | 2 | Medical | 1 | 1007 | 4 | Male | 75 | 3 | 3 | Manufacturing Director | 3 | Divorced | 10845 | 24208 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 13 | 3 | 3 | 8 | 7 | 0 | 7 |
| 724 | 0 | 24 | Travel_Rarely | 1206 | Research & Development | 17 | 1 | Medical | 1 | 1009 | 4 | Female | 41 | 2 | 2 | Manufacturing Director | 3 | Divorced | 4377 | 24117 | 1 | Y | No | 15 | 3 | 2 | 80 | 2 | 5 | 6 | 3 | 4 | 2 | 3 | 2 |
| 725 | 1 | 35 | Travel_Rarely | 622 | Research & Development | 14 | 4 | Other | 1 | 1010 | 3 | Male | 39 | 2 | 1 | Laboratory Technician | 2 | Divorced | 3743 | 10074 | 1 | Y | Yes | 24 | 4 | 4 | 80 | 1 | 5 | 2 | 1 | 4 | 2 | 0 | 2 |
| 726 | 0 | 31 | Travel_Frequently | 853 | Research & Development | 1 | 1 | Life Sciences | 1 | 1011 | 3 | Female | 96 | 3 | 2 | Manufacturing Director | 1 | Married | 4148 | 11275 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 4 | 1 | 3 | 4 | 3 | 0 | 3 |
| 727 | 0 | 18 | Non-Travel | 287 | Research & Development | 5 | 2 | Life Sciences | 1 | 1012 | 2 | Male | 73 | 3 | 1 | Research Scientist | 4 | Single | 1051 | 13493 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 |
| 728 | 0 | 54 | Travel_Rarely | 1441 | Research & Development | 17 | 3 | Technical Degree | 1 | 1013 | 3 | Female | 56 | 3 | 3 | Manufacturing Director | 3 | Married | 10739 | 13943 | 8 | Y | No | 11 | 3 | 3 | 80 | 1 | 22 | 2 | 3 | 10 | 7 | 0 | 8 |
| 729 | 0 | 35 | Travel_Rarely | 583 | Research & Development | 25 | 4 | Medical | 1 | 1014 | 3 | Female | 57 | 3 | 3 | Healthcare Representative | 3 | Divorced | 10388 | 6975 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 16 | 3 | 2 | 16 | 10 | 10 | 1 |
| 730 | 0 | 30 | Travel_Rarely | 153 | Research & Development | 8 | 2 | Life Sciences | 1 | 1015 | 2 | Female | 73 | 4 | 3 | Research Director | 1 | Married | 11416 | 17802 | 0 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 9 | 4 | 2 | 8 | 7 | 1 | 7 |
| 731 | 1 | 20 | Travel_Rarely | 1097 | Research & Development | 11 | 3 | Medical | 1 | 1016 | 4 | Female | 98 | 2 | 1 | Research Scientist | 1 | Single | 2600 | 18275 | 1 | Y | Yes | 15 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 732 | 1 | 30 | Travel_Frequently | 109 | Research & Development | 5 | 3 | Medical | 1 | 1017 | 2 | Female | 60 | 3 | 1 | Laboratory Technician | 2 | Single | 2422 | 25725 | 0 | Y | No | 17 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 1 | 2 |
| 733 | 0 | 26 | Travel_Rarely | 1066 | Research & Development | 2 | 2 | Medical | 1 | 1018 | 4 | Male | 32 | 4 | 2 | Manufacturing Director | 4 | Married | 5472 | 3334 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 8 | 2 | 3 | 8 | 7 | 1 | 3 |
| 734 | 0 | 22 | Travel_Rarely | 217 | Research & Development | 8 | 1 | Life Sciences | 1 | 1019 | 2 | Male | 94 | 1 | 1 | Laboratory Technician | 1 | Married | 2451 | 6881 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 4 | 3 | 2 | 4 | 3 | 1 | 1 |
| 735 | 0 | 48 | Travel_Rarely | 277 | Research & Development | 6 | 3 | Life Sciences | 1 | 1022 | 1 | Male | 97 | 2 | 2 | Healthcare Representative | 3 | Single | 4240 | 13119 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 19 | 0 | 3 | 2 | 2 | 2 | 2 |
| 736 | 0 | 48 | Travel_Rarely | 1355 | Research & Development | 4 | 4 | Life Sciences | 1 | 1024 | 3 | Male | 78 | 2 | 3 | Healthcare Representative | 3 | Single | 10999 | 22245 | 7 | Y | No | 14 | 3 | 2 | 80 | 0 | 27 | 3 | 3 | 15 | 11 | 4 | 8 |
| 737 | 0 | 41 | Travel_Rarely | 549 | Research & Development | 7 | 2 | Medical | 1 | 1025 | 4 | Female | 42 | 3 | 2 | Manufacturing Director | 3 | Single | 5003 | 23371 | 6 | Y | No | 14 | 3 | 2 | 80 | 0 | 8 | 6 | 3 | 2 | 2 | 2 | 1 |
| 738 | 0 | 39 | Travel_Rarely | 466 | Research & Development | 1 | 1 | Life Sciences | 1 | 1026 | 4 | Female | 65 | 2 | 4 | Manufacturing Director | 4 | Married | 12742 | 7060 | 1 | Y | No | 16 | 3 | 3 | 80 | 1 | 21 | 3 | 3 | 21 | 6 | 11 | 8 |
| 739 | 0 | 27 | Travel_Rarely | 1055 | Research & Development | 2 | 4 | Life Sciences | 1 | 1027 | 1 | Female | 47 | 3 | 2 | Manufacturing Director | 4 | Married | 4227 | 4658 | 0 | Y | No | 18 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 3 | 2 | 2 | 2 |
| 740 | 0 | 35 | Travel_Rarely | 802 | Research & Development | 10 | 3 | Other | 1 | 1028 | 2 | Male | 45 | 3 | 1 | Laboratory Technician | 4 | Divorced | 3917 | 9541 | 1 | Y | No | 20 | 4 | 1 | 80 | 1 | 3 | 4 | 2 | 3 | 2 | 1 | 2 |
| 741 | 0 | 42 | Travel_Rarely | 265 | Sales | 5 | 2 | Marketing | 1 | 1029 | 4 | Male | 90 | 3 | 5 | Manager | 3 | Married | 18303 | 7770 | 6 | Y | No | 13 | 3 | 2 | 80 | 0 | 21 | 3 | 4 | 1 | 0 | 0 | 0 |
| 742 | 0 | 50 | Travel_Rarely | 804 | Research & Development | 9 | 3 | Life Sciences | 1 | 1030 | 1 | Male | 64 | 3 | 1 | Laboratory Technician | 4 | Married | 2380 | 20165 | 4 | Y | No | 18 | 3 | 2 | 80 | 0 | 8 | 5 | 3 | 1 | 0 | 0 | 0 |
| 743 | 0 | 59 | Travel_Rarely | 715 | Research & Development | 2 | 3 | Life Sciences | 1 | 1032 | 3 | Female | 69 | 2 | 4 | Manufacturing Director | 4 | Single | 13726 | 21829 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 0 | 30 | 4 | 3 | 5 | 3 | 4 | 3 |
| 744 | 1 | 37 | Travel_Rarely | 1141 | Research & Development | 11 | 2 | Medical | 1 | 1033 | 1 | Female | 61 | 1 | 2 | Healthcare Representative | 2 | Married | 4777 | 14382 | 5 | Y | No | 15 | 3 | 1 | 80 | 0 | 15 | 2 | 1 | 1 | 0 | 0 | 0 |
| 745 | 0 | 55 | Travel_Frequently | 135 | Research & Development | 18 | 4 | Medical | 1 | 1034 | 3 | Male | 62 | 3 | 2 | Healthcare Representative | 2 | Married | 6385 | 12992 | 3 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 17 | 3 | 3 | 8 | 7 | 6 | 7 |
| 746 | 0 | 41 | Non-Travel | 247 | Research & Development | 7 | 1 | Life Sciences | 1 | 1035 | 2 | Female | 55 | 1 | 5 | Research Director | 3 | Divorced | 19973 | 20284 | 1 | Y | No | 22 | 4 | 2 | 80 | 2 | 21 | 3 | 3 | 21 | 16 | 5 | 10 |
| 747 | 0 | 38 | Travel_Rarely | 1035 | Sales | 3 | 4 | Life Sciences | 1 | 1036 | 2 | Male | 42 | 3 | 2 | Sales Executive | 4 | Single | 6861 | 4981 | 8 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 19 | 1 | 3 | 1 | 0 | 0 | 0 |
| 748 | 1 | 26 | Non-Travel | 265 | Sales | 29 | 2 | Medical | 1 | 1037 | 2 | Male | 79 | 1 | 2 | Sales Executive | 1 | Single | 4969 | 21813 | 8 | Y | No | 18 | 3 | 4 | 80 | 0 | 7 | 6 | 3 | 2 | 2 | 2 | 2 |
| 749 | 1 | 52 | Travel_Rarely | 266 | Sales | 2 | 1 | Marketing | 1 | 1038 | 1 | Female | 57 | 1 | 5 | Manager | 4 | Married | 19845 | 25846 | 1 | Y | No | 15 | 3 | 4 | 80 | 1 | 33 | 3 | 3 | 32 | 14 | 6 | 9 |
| 750 | 0 | 44 | Travel_Rarely | 1448 | Sales | 28 | 3 | Medical | 1 | 1039 | 4 | Female | 53 | 4 | 4 | Sales Executive | 4 | Married | 13320 | 11737 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 23 | 2 | 3 | 12 | 11 | 11 | 11 |
| 751 | 0 | 50 | Non-Travel | 145 | Sales | 1 | 3 | Life Sciences | 1 | 1040 | 4 | Female | 95 | 3 | 2 | Sales Executive | 3 | Married | 6347 | 24920 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 19 | 3 | 3 | 18 | 7 | 0 | 13 |
| 752 | 1 | 36 | Travel_Rarely | 885 | Research & Development | 16 | 4 | Life Sciences | 1 | 1042 | 3 | Female | 43 | 4 | 1 | Laboratory Technician | 1 | Single | 2743 | 8269 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 18 | 1 | 3 | 17 | 13 | 15 | 14 |
| 753 | 0 | 39 | Travel_Frequently | 945 | Research & Development | 22 | 3 | Medical | 1 | 1043 | 4 | Female | 82 | 3 | 3 | Manufacturing Director | 1 | Single | 10880 | 5083 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 21 | 2 | 3 | 21 | 6 | 2 | 8 |
| 754 | 0 | 33 | Non-Travel | 1038 | Sales | 8 | 1 | Life Sciences | 1 | 1044 | 2 | Female | 88 | 2 | 1 | Sales Representative | 4 | Single | 2342 | 21437 | 0 | Y | No | 19 | 3 | 4 | 80 | 0 | 3 | 2 | 2 | 2 | 2 | 2 | 2 |
| 755 | 0 | 45 | Travel_Rarely | 1234 | Sales | 11 | 2 | Life Sciences | 1 | 1045 | 4 | Female | 90 | 3 | 4 | Manager | 4 | Married | 17650 | 5404 | 3 | Y | No | 13 | 3 | 2 | 80 | 1 | 26 | 4 | 4 | 9 | 3 | 1 | 1 |
| 756 | 0 | 32 | Non-Travel | 1109 | Research & Development | 29 | 4 | Medical | 1 | 1046 | 4 | Female | 69 | 3 | 1 | Laboratory Technician | 3 | Single | 4025 | 11135 | 9 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 7 | 7 |
| 757 | 0 | 34 | Travel_Rarely | 216 | Sales | 1 | 4 | Marketing | 1 | 1047 | 2 | Male | 75 | 4 | 2 | Sales Executive | 4 | Divorced | 9725 | 12278 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 16 | 2 | 2 | 15 | 1 | 0 | 9 |
| 758 | 0 | 59 | Travel_Rarely | 1089 | Sales | 1 | 2 | Technical Degree | 1 | 1048 | 2 | Male | 66 | 3 | 3 | Manager | 4 | Married | 11904 | 11038 | 3 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 14 | 1 | 1 | 6 | 4 | 0 | 4 |
| 759 | 0 | 45 | Travel_Rarely | 788 | Human Resources | 24 | 4 | Medical | 1 | 1049 | 2 | Male | 36 | 3 | 1 | Human Resources | 2 | Single | 2177 | 8318 | 1 | Y | No | 16 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 6 | 3 | 0 | 4 |
| 760 | 0 | 53 | Travel_Frequently | 124 | Sales | 2 | 3 | Marketing | 1 | 1050 | 3 | Female | 38 | 2 | 3 | Sales Executive | 2 | Married | 7525 | 23537 | 2 | Y | No | 12 | 3 | 1 | 80 | 1 | 30 | 2 | 3 | 15 | 7 | 6 | 12 |
| 761 | 1 | 36 | Travel_Rarely | 660 | Research & Development | 15 | 3 | Other | 1 | 1052 | 1 | Male | 81 | 3 | 2 | Laboratory Technician | 3 | Divorced | 4834 | 7858 | 7 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 1 | 0 | 0 | 0 |
| 762 | 1 | 26 | Travel_Frequently | 342 | Research & Development | 2 | 3 | Life Sciences | 1 | 1053 | 1 | Male | 57 | 3 | 1 | Research Scientist | 1 | Married | 2042 | 15346 | 6 | Y | Yes | 14 | 3 | 2 | 80 | 1 | 6 | 2 | 3 | 3 | 2 | 1 | 2 |
| 763 | 0 | 34 | Travel_Rarely | 1333 | Sales | 10 | 4 | Life Sciences | 1 | 1055 | 3 | Female | 87 | 3 | 1 | Sales Representative | 3 | Married | 2220 | 18410 | 1 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 1 | 0 | 0 |
| 764 | 0 | 28 | Travel_Rarely | 1144 | Sales | 10 | 1 | Medical | 1 | 1056 | 4 | Male | 74 | 3 | 1 | Sales Representative | 2 | Married | 1052 | 23384 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 0 | 0 |
| 765 | 0 | 38 | Travel_Frequently | 1186 | Research & Development | 3 | 4 | Other | 1 | 1060 | 3 | Male | 44 | 3 | 1 | Research Scientist | 3 | Married | 2821 | 2997 | 3 | Y | No | 16 | 3 | 1 | 80 | 1 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
| 766 | 0 | 50 | Travel_Rarely | 1464 | Research & Development | 2 | 4 | Medical | 1 | 1061 | 2 | Male | 62 | 3 | 5 | Research Director | 3 | Married | 19237 | 12853 | 2 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 29 | 2 | 2 | 8 | 1 | 7 | 7 |
| 767 | 0 | 37 | Travel_Rarely | 124 | Research & Development | 3 | 3 | Other | 1 | 1062 | 4 | Female | 35 | 3 | 2 | Healthcare Representative | 2 | Single | 4107 | 13848 | 3 | Y | No | 15 | 3 | 1 | 80 | 0 | 8 | 3 | 2 | 4 | 3 | 0 | 1 |
| 768 | 0 | 40 | Travel_Rarely | 300 | Sales | 26 | 3 | Marketing | 1 | 1066 | 3 | Male | 74 | 3 | 2 | Sales Executive | 1 | Married | 8396 | 22217 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 8 | 3 | 2 | 7 | 7 | 7 | 5 |
| 769 | 0 | 26 | Travel_Frequently | 921 | Research & Development | 1 | 1 | Medical | 1 | 1068 | 1 | Female | 66 | 2 | 1 | Research Scientist | 3 | Divorced | 2007 | 25265 | 1 | Y | No | 13 | 3 | 3 | 80 | 2 | 5 | 5 | 3 | 5 | 3 | 1 | 3 |
| 770 | 0 | 46 | Travel_Rarely | 430 | Research & Development | 1 | 4 | Medical | 1 | 1069 | 4 | Male | 40 | 3 | 5 | Research Director | 4 | Divorced | 19627 | 21445 | 9 | Y | No | 17 | 3 | 4 | 80 | 2 | 23 | 0 | 3 | 2 | 2 | 2 | 2 |
| 771 | 0 | 54 | Travel_Rarely | 1082 | Sales | 2 | 4 | Life Sciences | 1 | 1070 | 3 | Female | 41 | 2 | 3 | Sales Executive | 3 | Married | 10686 | 8392 | 6 | Y | No | 11 | 3 | 2 | 80 | 1 | 13 | 4 | 3 | 9 | 4 | 7 | 0 |
| 772 | 0 | 56 | Travel_Frequently | 1240 | Research & Development | 9 | 3 | Medical | 1 | 1071 | 1 | Female | 63 | 3 | 1 | Research Scientist | 3 | Married | 2942 | 12154 | 2 | Y | No | 19 | 3 | 2 | 80 | 1 | 18 | 4 | 3 | 5 | 4 | 0 | 3 |
| 773 | 0 | 36 | Travel_Rarely | 796 | Research & Development | 12 | 5 | Medical | 1 | 1073 | 4 | Female | 51 | 2 | 3 | Manufacturing Director | 4 | Single | 8858 | 15669 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 15 | 2 | 2 | 14 | 8 | 7 | 8 |
| 774 | 0 | 55 | Non-Travel | 444 | Research & Development | 2 | 1 | Medical | 1 | 1074 | 3 | Male | 40 | 2 | 4 | Manager | 1 | Single | 16756 | 17323 | 7 | Y | No | 15 | 3 | 2 | 80 | 0 | 31 | 3 | 4 | 9 | 7 | 6 | 2 |
| 775 | 0 | 43 | Travel_Rarely | 415 | Sales | 25 | 3 | Medical | 1 | 1076 | 3 | Male | 79 | 2 | 3 | Sales Executive | 4 | Divorced | 10798 | 5268 | 5 | Y | No | 13 | 3 | 3 | 80 | 1 | 18 | 5 | 3 | 1 | 0 | 0 | 0 |
| 776 | 1 | 20 | Travel_Frequently | 769 | Sales | 9 | 3 | Marketing | 1 | 1077 | 4 | Female | 54 | 3 | 1 | Sales Representative | 4 | Single | 2323 | 17205 | 1 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 |
| 777 | 1 | 21 | Travel_Rarely | 1334 | Research & Development | 10 | 3 | Life Sciences | 1 | 1079 | 3 | Female | 36 | 2 | 1 | Laboratory Technician | 1 | Single | 1416 | 17258 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 1 | 6 | 2 | 1 | 0 | 1 | 0 |
| 778 | 0 | 46 | Travel_Rarely | 1003 | Research & Development | 8 | 4 | Life Sciences | 1 | 1080 | 4 | Female | 74 | 2 | 2 | Research Scientist | 1 | Divorced | 4615 | 21029 | 8 | Y | Yes | 23 | 4 | 1 | 80 | 3 | 19 | 2 | 3 | 16 | 13 | 1 | 7 |
| 779 | 1 | 51 | Travel_Rarely | 1323 | Research & Development | 4 | 4 | Life Sciences | 1 | 1081 | 1 | Male | 34 | 3 | 1 | Research Scientist | 3 | Married | 2461 | 10332 | 9 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 18 | 2 | 4 | 10 | 0 | 2 | 7 |
| 780 | 1 | 28 | Non-Travel | 1366 | Research & Development | 24 | 2 | Technical Degree | 1 | 1082 | 2 | Male | 72 | 2 | 3 | Healthcare Representative | 1 | Single | 8722 | 12355 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 10 | 2 | 2 | 10 | 7 | 1 | 9 |
| 781 | 0 | 26 | Travel_Rarely | 192 | Research & Development | 1 | 2 | Medical | 1 | 1083 | 1 | Male | 59 | 2 | 1 | Laboratory Technician | 1 | Married | 3955 | 11141 | 1 | Y | No | 16 | 3 | 1 | 80 | 2 | 6 | 2 | 3 | 5 | 3 | 1 | 3 |
| 782 | 0 | 30 | Travel_Rarely | 1176 | Research & Development | 20 | 3 | Other | 1 | 1084 | 3 | Male | 85 | 3 | 2 | Manufacturing Director | 1 | Married | 9957 | 9096 | 0 | Y | No | 15 | 3 | 3 | 80 | 1 | 7 | 1 | 2 | 6 | 2 | 0 | 2 |
| 783 | 0 | 41 | Travel_Rarely | 509 | Research & Development | 7 | 2 | Technical Degree | 1 | 1085 | 2 | Female | 43 | 4 | 1 | Research Scientist | 3 | Married | 3376 | 18863 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 10 | 6 | 0 | 8 |
| 784 | 0 | 38 | Travel_Rarely | 330 | Research & Development | 17 | 1 | Life Sciences | 1 | 1088 | 3 | Female | 65 | 2 | 3 | Healthcare Representative | 3 | Married | 8823 | 24608 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 20 | 4 | 2 | 19 | 9 | 1 | 9 |
| 785 | 0 | 40 | Travel_Rarely | 1492 | Research & Development | 20 | 4 | Technical Degree | 1 | 1092 | 1 | Male | 61 | 3 | 3 | Healthcare Representative | 4 | Married | 10322 | 26542 | 4 | Y | No | 20 | 4 | 4 | 80 | 1 | 14 | 6 | 3 | 11 | 10 | 11 | 1 |
| 786 | 0 | 27 | Non-Travel | 1277 | Research & Development | 8 | 5 | Life Sciences | 1 | 1094 | 1 | Male | 87 | 1 | 1 | Laboratory Technician | 3 | Married | 4621 | 5869 | 1 | Y | No | 19 | 3 | 4 | 80 | 3 | 3 | 4 | 3 | 3 | 2 | 1 | 2 |
| 787 | 0 | 55 | Travel_Frequently | 1091 | Research & Development | 2 | 1 | Life Sciences | 1 | 1096 | 4 | Male | 65 | 3 | 3 | Manufacturing Director | 2 | Married | 10976 | 15813 | 3 | Y | No | 18 | 3 | 2 | 80 | 1 | 23 | 4 | 3 | 3 | 2 | 1 | 2 |
| 788 | 0 | 28 | Travel_Rarely | 857 | Research & Development | 10 | 3 | Other | 1 | 1097 | 3 | Female | 59 | 3 | 2 | Research Scientist | 3 | Single | 3660 | 7909 | 3 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 4 | 4 | 8 | 7 | 1 | 7 |
| 789 | 1 | 44 | Travel_Rarely | 1376 | Human Resources | 1 | 2 | Medical | 1 | 1098 | 2 | Male | 91 | 2 | 3 | Human Resources | 1 | Married | 10482 | 2326 | 9 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 1 | 3 | 20 | 6 | 3 | 6 |
| 790 | 0 | 33 | Travel_Rarely | 654 | Research & Development | 5 | 3 | Life Sciences | 1 | 1099 | 4 | Male | 34 | 2 | 3 | Healthcare Representative | 4 | Divorced | 7119 | 21214 | 4 | Y | No | 15 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 3 | 2 | 1 | 2 |
| 791 | 1 | 35 | Travel_Rarely | 1204 | Sales | 4 | 3 | Technical Degree | 1 | 1100 | 4 | Male | 86 | 3 | 3 | Sales Executive | 1 | Single | 9582 | 10333 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 0 | 9 | 2 | 3 | 8 | 7 | 4 | 7 |
| 792 | 1 | 33 | Travel_Frequently | 827 | Research & Development | 29 | 4 | Medical | 1 | 1101 | 1 | Female | 54 | 2 | 2 | Research Scientist | 3 | Single | 4508 | 3129 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 14 | 4 | 3 | 13 | 7 | 3 | 8 |
| 793 | 0 | 28 | Travel_Rarely | 895 | Research & Development | 15 | 2 | Life Sciences | 1 | 1102 | 1 | Male | 50 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2207 | 22482 | 1 | Y | No | 16 | 3 | 4 | 80 | 1 | 4 | 5 | 2 | 4 | 2 | 2 | 2 |
| 794 | 0 | 34 | Travel_Frequently | 618 | Research & Development | 3 | 1 | Life Sciences | 1 | 1103 | 1 | Male | 45 | 3 | 2 | Healthcare Representative | 4 | Single | 7756 | 22266 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 7 | 1 | 2 | 6 | 2 | 0 | 4 |
| 795 | 0 | 37 | Travel_Rarely | 309 | Sales | 10 | 4 | Life Sciences | 1 | 1105 | 4 | Female | 88 | 2 | 2 | Sales Executive | 4 | Divorced | 6694 | 24223 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 8 | 5 | 3 | 1 | 0 | 0 | 0 |
| 796 | 1 | 25 | Travel_Rarely | 1219 | Research & Development | 4 | 1 | Technical Degree | 1 | 1106 | 4 | Male | 32 | 3 | 1 | Laboratory Technician | 4 | Married | 3691 | 4605 | 1 | Y | Yes | 15 | 3 | 2 | 80 | 1 | 7 | 3 | 4 | 7 | 7 | 5 | 6 |
| 797 | 1 | 26 | Travel_Rarely | 1330 | Research & Development | 21 | 3 | Medical | 1 | 1107 | 1 | Male | 37 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2377 | 19373 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 0 |
| 798 | 1 | 33 | Travel_Rarely | 1017 | Research & Development | 25 | 3 | Medical | 1 | 1108 | 1 | Male | 55 | 2 | 1 | Research Scientist | 2 | Single | 2313 | 2993 | 4 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 5 | 0 | 3 | 2 | 2 | 2 | 2 |
| 799 | 0 | 42 | Travel_Rarely | 469 | Research & Development | 2 | 2 | Medical | 1 | 1109 | 4 | Male | 35 | 3 | 4 | Manager | 1 | Married | 17665 | 14399 | 0 | Y | No | 17 | 3 | 4 | 80 | 1 | 23 | 3 | 3 | 22 | 6 | 13 | 7 |
| 800 | 1 | 28 | Travel_Frequently | 1009 | Research & Development | 1 | 3 | Medical | 1 | 1111 | 1 | Male | 45 | 2 | 1 | Laboratory Technician | 2 | Divorced | 2596 | 7160 | 1 | Y | No | 15 | 3 | 1 | 80 | 2 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 801 | 1 | 50 | Travel_Frequently | 959 | Sales | 1 | 4 | Other | 1 | 1113 | 4 | Male | 81 | 3 | 2 | Sales Executive | 3 | Single | 4728 | 17251 | 3 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 5 | 4 | 3 | 0 | 0 | 0 | 0 |
| 802 | 0 | 33 | Travel_Frequently | 970 | Sales | 7 | 3 | Life Sciences | 1 | 1114 | 4 | Female | 30 | 3 | 2 | Sales Executive | 2 | Married | 4302 | 13401 | 0 | Y | No | 17 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 3 | 2 | 0 | 2 |
| 803 | 0 | 34 | Non-Travel | 697 | Research & Development | 3 | 4 | Life Sciences | 1 | 1115 | 3 | Male | 40 | 2 | 1 | Research Scientist | 4 | Married | 2979 | 22478 | 3 | Y | No | 17 | 3 | 4 | 80 | 3 | 6 | 2 | 3 | 0 | 0 | 0 | 0 |
| 804 | 0 | 48 | Non-Travel | 1262 | Research & Development | 1 | 4 | Medical | 1 | 1116 | 1 | Male | 35 | 4 | 4 | Manager | 4 | Single | 16885 | 16154 | 2 | Y | No | 22 | 4 | 3 | 80 | 0 | 27 | 3 | 2 | 5 | 4 | 2 | 1 |
| 805 | 0 | 45 | Non-Travel | 1050 | Sales | 9 | 4 | Life Sciences | 1 | 1117 | 2 | Female | 65 | 2 | 2 | Sales Executive | 3 | Married | 5593 | 17970 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 15 | 2 | 3 | 15 | 10 | 4 | 12 |
| 806 | 0 | 52 | Travel_Rarely | 994 | Research & Development | 7 | 4 | Life Sciences | 1 | 1118 | 2 | Male | 87 | 3 | 3 | Healthcare Representative | 2 | Single | 10445 | 15322 | 7 | Y | No | 19 | 3 | 4 | 80 | 0 | 18 | 4 | 3 | 8 | 6 | 4 | 0 |
| 807 | 0 | 38 | Travel_Rarely | 770 | Sales | 10 | 4 | Marketing | 1 | 1119 | 3 | Male | 73 | 2 | 3 | Sales Executive | 3 | Divorced | 8740 | 5569 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 2 | 9 | 2 | 3 | 8 | 7 | 2 | 7 |
| 808 | 0 | 29 | Travel_Rarely | 1107 | Research & Development | 28 | 4 | Life Sciences | 1 | 1120 | 3 | Female | 93 | 3 | 1 | Research Scientist | 4 | Divorced | 2514 | 26968 | 4 | Y | No | 22 | 4 | 1 | 80 | 1 | 11 | 1 | 3 | 7 | 5 | 1 | 7 |
| 809 | 0 | 28 | Travel_Rarely | 950 | Research & Development | 3 | 3 | Medical | 1 | 1121 | 4 | Female | 93 | 3 | 3 | Manufacturing Director | 2 | Divorced | 7655 | 8039 | 0 | Y | No | 17 | 3 | 2 | 80 | 3 | 10 | 3 | 2 | 9 | 7 | 1 | 7 |
| 810 | 0 | 46 | Travel_Rarely | 406 | Sales | 3 | 1 | Marketing | 1 | 1124 | 1 | Male | 52 | 3 | 4 | Manager | 3 | Married | 17465 | 15596 | 3 | Y | No | 12 | 3 | 4 | 80 | 1 | 23 | 3 | 3 | 12 | 9 | 4 | 9 |
| 811 | 0 | 38 | Travel_Rarely | 130 | Sales | 2 | 2 | Marketing | 1 | 1125 | 4 | Male | 32 | 3 | 3 | Sales Executive | 2 | Single | 7351 | 20619 | 7 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 1 | 0 | 0 | 0 |
| 812 | 0 | 43 | Travel_Frequently | 1082 | Research & Development | 27 | 3 | Life Sciences | 1 | 1126 | 3 | Female | 83 | 3 | 3 | Manufacturing Director | 1 | Married | 10820 | 11535 | 8 | Y | No | 11 | 3 | 3 | 80 | 1 | 18 | 1 | 3 | 8 | 7 | 0 | 1 |
| 813 | 1 | 39 | Travel_Frequently | 203 | Research & Development | 2 | 3 | Life Sciences | 1 | 1127 | 1 | Male | 84 | 3 | 4 | Healthcare Representative | 4 | Divorced | 12169 | 13547 | 7 | Y | No | 11 | 3 | 4 | 80 | 3 | 21 | 4 | 3 | 18 | 7 | 11 | 5 |
| 814 | 0 | 40 | Travel_Rarely | 1308 | Research & Development | 14 | 3 | Medical | 1 | 1128 | 3 | Male | 44 | 2 | 5 | Research Director | 3 | Single | 19626 | 17544 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 21 | 2 | 4 | 20 | 7 | 4 | 9 |
| 815 | 0 | 21 | Travel_Rarely | 984 | Research & Development | 1 | 1 | Technical Degree | 1 | 1131 | 4 | Female | 70 | 2 | 1 | Research Scientist | 2 | Single | 2070 | 25326 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 2 | 6 | 4 | 2 | 2 | 2 | 2 |
| 816 | 0 | 39 | Non-Travel | 439 | Research & Development | 9 | 3 | Life Sciences | 1 | 1132 | 3 | Male | 70 | 3 | 2 | Laboratory Technician | 2 | Single | 6782 | 8770 | 9 | Y | No | 15 | 3 | 3 | 80 | 0 | 9 | 2 | 2 | 5 | 4 | 0 | 3 |
| 817 | 0 | 36 | Non-Travel | 217 | Research & Development | 18 | 4 | Life Sciences | 1 | 1133 | 1 | Male | 78 | 3 | 2 | Manufacturing Director | 4 | Single | 7779 | 23238 | 2 | Y | No | 20 | 4 | 1 | 80 | 0 | 18 | 0 | 3 | 11 | 9 | 0 | 9 |
| 818 | 0 | 31 | Travel_Frequently | 793 | Sales | 20 | 3 | Life Sciences | 1 | 1135 | 3 | Male | 67 | 4 | 1 | Sales Representative | 4 | Married | 2791 | 21981 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 3 | 4 | 3 | 2 | 2 | 2 | 2 |
| 819 | 0 | 28 | Travel_Rarely | 1451 | Research & Development | 2 | 1 | Life Sciences | 1 | 1136 | 1 | Male | 67 | 2 | 1 | Research Scientist | 2 | Married | 3201 | 19911 | 0 | Y | No | 17 | 3 | 1 | 80 | 0 | 6 | 2 | 1 | 5 | 3 | 0 | 4 |
| 820 | 0 | 35 | Travel_Frequently | 1182 | Sales | 11 | 2 | Marketing | 1 | 1137 | 4 | Male | 54 | 3 | 2 | Sales Executive | 4 | Divorced | 4968 | 18500 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 5 | 3 | 3 | 5 | 2 | 0 | 2 |
| 821 | 0 | 49 | Travel_Rarely | 174 | Sales | 8 | 4 | Technical Degree | 1 | 1138 | 4 | Male | 56 | 2 | 4 | Sales Executive | 2 | Married | 13120 | 11879 | 6 | Y | No | 17 | 3 | 2 | 80 | 1 | 22 | 3 | 3 | 9 | 8 | 2 | 3 |
| 822 | 0 | 34 | Travel_Frequently | 1003 | Research & Development | 2 | 2 | Life Sciences | 1 | 1140 | 4 | Male | 95 | 3 | 2 | Manufacturing Director | 3 | Single | 4033 | 15834 | 2 | Y | No | 11 | 3 | 4 | 80 | 0 | 5 | 3 | 2 | 3 | 2 | 0 | 2 |
| 823 | 0 | 29 | Travel_Frequently | 490 | Research & Development | 10 | 3 | Life Sciences | 1 | 1143 | 4 | Female | 61 | 3 | 1 | Research Scientist | 2 | Divorced | 3291 | 17940 | 0 | Y | No | 14 | 3 | 4 | 80 | 2 | 8 | 2 | 2 | 7 | 5 | 1 | 1 |
| 824 | 0 | 42 | Travel_Rarely | 188 | Research & Development | 29 | 3 | Medical | 1 | 1148 | 2 | Male | 56 | 1 | 2 | Laboratory Technician | 4 | Single | 4272 | 9558 | 4 | Y | No | 19 | 3 | 1 | 80 | 0 | 16 | 3 | 3 | 1 | 0 | 0 | 0 |
| 825 | 0 | 29 | Travel_Rarely | 718 | Research & Development | 8 | 1 | Medical | 1 | 1150 | 2 | Male | 79 | 2 | 2 | Manufacturing Director | 4 | Married | 5056 | 17689 | 1 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 10 | 2 | 2 | 10 | 7 | 1 | 2 |
| 826 | 0 | 38 | Travel_Rarely | 433 | Human Resources | 1 | 3 | Human Resources | 1 | 1152 | 3 | Male | 37 | 4 | 1 | Human Resources | 3 | Married | 2844 | 6004 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 7 | 2 | 4 | 7 | 6 | 5 | 0 |
| 827 | 0 | 28 | Travel_Frequently | 773 | Research & Development | 6 | 3 | Life Sciences | 1 | 1154 | 3 | Male | 39 | 2 | 1 | Research Scientist | 3 | Divorced | 2703 | 22088 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 3 | 1 | 0 | 2 |
| 828 | 1 | 18 | Non-Travel | 247 | Research & Development | 8 | 1 | Medical | 1 | 1156 | 3 | Male | 80 | 3 | 1 | Laboratory Technician | 3 | Single | 1904 | 13556 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 |
| 829 | 1 | 33 | Travel_Rarely | 603 | Sales | 9 | 4 | Marketing | 1 | 1157 | 1 | Female | 77 | 3 | 2 | Sales Executive | 1 | Single | 8224 | 18385 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 5 | 2 | 0 | 3 |
| 830 | 0 | 41 | Travel_Rarely | 167 | Research & Development | 12 | 4 | Life Sciences | 1 | 1158 | 2 | Male | 46 | 3 | 1 | Laboratory Technician | 4 | Married | 4766 | 9051 | 3 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 6 | 4 | 3 | 1 | 0 | 0 | 0 |
| 831 | 1 | 31 | Travel_Frequently | 874 | Research & Development | 15 | 3 | Medical | 1 | 1160 | 3 | Male | 72 | 3 | 1 | Laboratory Technician | 3 | Married | 2610 | 6233 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 2 | 5 | 2 | 2 | 2 | 2 | 2 |
| 832 | 0 | 37 | Travel_Rarely | 367 | Research & Development | 25 | 2 | Medical | 1 | 1161 | 3 | Female | 52 | 2 | 2 | Healthcare Representative | 4 | Divorced | 5731 | 17171 | 7 | Y | No | 13 | 3 | 3 | 80 | 2 | 9 | 2 | 3 | 6 | 2 | 1 | 3 |
| 833 | 0 | 27 | Travel_Rarely | 199 | Research & Development | 6 | 3 | Life Sciences | 1 | 1162 | 4 | Male | 55 | 2 | 1 | Research Scientist | 3 | Married | 2539 | 7950 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 4 | 0 | 3 | 4 | 2 | 2 | 2 |
| 834 | 0 | 34 | Travel_Rarely | 1400 | Sales | 9 | 1 | Life Sciences | 1 | 1163 | 2 | Female | 70 | 3 | 2 | Sales Executive | 3 | Married | 5714 | 5829 | 1 | Y | No | 20 | 4 | 1 | 80 | 0 | 6 | 3 | 2 | 6 | 5 | 1 | 3 |
| 835 | 0 | 35 | Travel_Rarely | 528 | Human Resources | 8 | 4 | Technical Degree | 1 | 1164 | 3 | Male | 100 | 3 | 1 | Human Resources | 3 | Single | 4323 | 7108 | 1 | Y | No | 17 | 3 | 2 | 80 | 0 | 6 | 2 | 1 | 5 | 4 | 1 | 4 |
| 836 | 1 | 29 | Travel_Rarely | 408 | Sales | 23 | 1 | Life Sciences | 1 | 1165 | 4 | Female | 45 | 2 | 3 | Sales Executive | 1 | Married | 7336 | 11162 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 11 | 3 | 1 | 11 | 8 | 3 | 10 |
| 837 | 0 | 40 | Travel_Frequently | 593 | Research & Development | 9 | 4 | Medical | 1 | 1166 | 2 | Female | 88 | 3 | 3 | Research Director | 3 | Single | 13499 | 13782 | 9 | Y | No | 17 | 3 | 3 | 80 | 0 | 20 | 3 | 2 | 18 | 7 | 2 | 13 |
| 838 | 1 | 42 | Travel_Frequently | 481 | Sales | 12 | 3 | Life Sciences | 1 | 1167 | 3 | Male | 44 | 3 | 4 | Sales Executive | 1 | Single | 13758 | 2447 | 0 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 22 | 2 | 2 | 21 | 9 | 13 | 14 |
| 839 | 0 | 42 | Travel_Rarely | 647 | Sales | 4 | 4 | Marketing | 1 | 1171 | 2 | Male | 45 | 3 | 2 | Sales Executive | 1 | Single | 5155 | 2253 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 9 | 3 | 4 | 6 | 4 | 1 | 5 |
| 840 | 0 | 35 | Travel_Rarely | 982 | Research & Development | 1 | 4 | Medical | 1 | 1172 | 4 | Male | 58 | 2 | 1 | Laboratory Technician | 3 | Married | 2258 | 16340 | 6 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 2 | 3 | 8 | 0 | 1 | 7 |
| 841 | 0 | 24 | Travel_Rarely | 477 | Research & Development | 24 | 3 | Medical | 1 | 1173 | 4 | Male | 49 | 3 | 1 | Laboratory Technician | 2 | Single | 3597 | 6409 | 8 | Y | No | 22 | 4 | 4 | 80 | 0 | 6 | 2 | 3 | 4 | 3 | 1 | 2 |
| 842 | 1 | 28 | Travel_Rarely | 1485 | Research & Development | 12 | 1 | Life Sciences | 1 | 1175 | 3 | Female | 79 | 3 | 1 | Laboratory Technician | 4 | Married | 2515 | 22955 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 1 | 4 | 2 | 1 | 1 | 0 | 0 |
| 843 | 0 | 26 | Travel_Rarely | 1384 | Research & Development | 3 | 4 | Medical | 1 | 1177 | 1 | Male | 82 | 4 | 1 | Laboratory Technician | 4 | Married | 4420 | 13421 | 1 | Y | No | 22 | 4 | 2 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 0 | 7 |
| 844 | 0 | 30 | Travel_Rarely | 852 | Sales | 10 | 3 | Marketing | 1 | 1179 | 3 | Male | 72 | 2 | 2 | Sales Executive | 3 | Married | 6578 | 2706 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 3 | 1 | 4 |
| 845 | 0 | 40 | Travel_Frequently | 902 | Research & Development | 26 | 2 | Medical | 1 | 1180 | 3 | Female | 92 | 2 | 2 | Research Scientist | 4 | Married | 4422 | 21203 | 3 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 16 | 3 | 1 | 1 | 1 | 0 | 0 |
| 846 | 0 | 35 | Travel_Rarely | 819 | Research & Development | 2 | 3 | Life Sciences | 1 | 1182 | 3 | Male | 44 | 2 | 3 | Manufacturing Director | 2 | Divorced | 10274 | 19588 | 2 | Y | No | 18 | 3 | 2 | 80 | 1 | 15 | 2 | 4 | 7 | 7 | 6 | 4 |
| 847 | 0 | 34 | Travel_Frequently | 669 | Research & Development | 1 | 3 | Medical | 1 | 1184 | 4 | Male | 97 | 2 | 2 | Healthcare Representative | 1 | Single | 5343 | 25755 | 0 | Y | No | 20 | 4 | 3 | 80 | 0 | 14 | 3 | 3 | 13 | 9 | 4 | 9 |
| 848 | 0 | 35 | Travel_Frequently | 636 | Research & Development | 4 | 4 | Other | 1 | 1185 | 4 | Male | 47 | 2 | 1 | Laboratory Technician | 4 | Married | 2376 | 26537 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 2 | 2 | 4 | 2 | 2 | 2 | 2 |
| 849 | 1 | 43 | Travel_Rarely | 1372 | Sales | 9 | 3 | Marketing | 1 | 1188 | 1 | Female | 85 | 1 | 2 | Sales Executive | 3 | Single | 5346 | 9489 | 8 | Y | No | 13 | 3 | 2 | 80 | 0 | 7 | 2 | 2 | 4 | 3 | 1 | 3 |
| 850 | 0 | 32 | Non-Travel | 862 | Sales | 2 | 1 | Life Sciences | 1 | 1190 | 3 | Female | 76 | 3 | 1 | Sales Representative | 1 | Divorced | 2827 | 14947 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 851 | 0 | 56 | Travel_Rarely | 718 | Research & Development | 4 | 4 | Technical Degree | 1 | 1191 | 4 | Female | 92 | 3 | 5 | Manager | 1 | Divorced | 19943 | 18575 | 4 | Y | No | 13 | 3 | 4 | 80 | 1 | 28 | 2 | 3 | 5 | 2 | 4 | 2 |
| 852 | 0 | 29 | Travel_Rarely | 1401 | Research & Development | 6 | 1 | Medical | 1 | 1192 | 2 | Female | 54 | 3 | 1 | Laboratory Technician | 4 | Married | 3131 | 26342 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 5 | 3 | 10 | 8 | 0 | 8 |
| 853 | 0 | 19 | Travel_Rarely | 645 | Research & Development | 9 | 2 | Life Sciences | 1 | 1193 | 3 | Male | 54 | 3 | 1 | Research Scientist | 1 | Single | 2552 | 7172 | 1 | Y | No | 25 | 4 | 3 | 80 | 0 | 1 | 4 | 3 | 1 | 1 | 0 | 0 |
| 854 | 0 | 45 | Travel_Rarely | 1457 | Research & Development | 7 | 3 | Medical | 1 | 1195 | 1 | Female | 83 | 3 | 1 | Research Scientist | 3 | Married | 4477 | 20100 | 4 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 7 | 2 | 2 | 3 | 2 | 0 | 2 |
| 855 | 0 | 37 | Travel_Rarely | 977 | Research & Development | 1 | 3 | Life Sciences | 1 | 1196 | 4 | Female | 56 | 2 | 2 | Manufacturing Director | 4 | Married | 6474 | 9961 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 14 | 2 | 2 | 14 | 8 | 3 | 11 |
| 856 | 0 | 20 | Travel_Rarely | 805 | Research & Development | 3 | 3 | Life Sciences | 1 | 1198 | 1 | Male | 87 | 2 | 1 | Laboratory Technician | 3 | Single | 3033 | 12828 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 2 | 2 | 2 | 2 | 2 | 1 | 2 |
| 857 | 1 | 44 | Travel_Rarely | 1097 | Research & Development | 10 | 4 | Life Sciences | 1 | 1200 | 3 | Male | 96 | 3 | 1 | Research Scientist | 3 | Single | 2936 | 10826 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 4 | 3 | 6 | 4 | 0 | 2 |
| 858 | 0 | 53 | Travel_Rarely | 1223 | Research & Development | 7 | 2 | Medical | 1 | 1201 | 4 | Female | 50 | 3 | 5 | Manager | 3 | Divorced | 18606 | 18640 | 3 | Y | No | 18 | 3 | 2 | 80 | 1 | 26 | 6 | 3 | 7 | 7 | 4 | 7 |
| 859 | 0 | 29 | Travel_Rarely | 942 | Research & Development | 15 | 1 | Life Sciences | 1 | 1202 | 2 | Female | 69 | 1 | 1 | Research Scientist | 4 | Married | 2168 | 26933 | 0 | Y | Yes | 18 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 5 | 4 | 1 | 3 |
| 860 | 1 | 22 | Travel_Frequently | 1256 | Research & Development | 3 | 4 | Life Sciences | 1 | 1203 | 3 | Male | 48 | 2 | 1 | Research Scientist | 4 | Married | 2853 | 4223 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 1 | 5 | 3 | 0 | 0 | 0 | 0 |
| 861 | 0 | 46 | Travel_Rarely | 1402 | Sales | 2 | 3 | Marketing | 1 | 1204 | 3 | Female | 69 | 3 | 4 | Manager | 1 | Married | 17048 | 24097 | 8 | Y | No | 23 | 4 | 1 | 80 | 0 | 28 | 2 | 3 | 26 | 15 | 15 | 9 |
| 862 | 0 | 44 | Non-Travel | 111 | Research & Development | 17 | 3 | Life Sciences | 1 | 1206 | 4 | Male | 74 | 1 | 1 | Research Scientist | 3 | Single | 2290 | 4279 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 |
| 863 | 0 | 33 | Travel_Rarely | 147 | Human Resources | 2 | 3 | Human Resources | 1 | 1207 | 2 | Male | 99 | 3 | 1 | Human Resources | 3 | Married | 3600 | 8429 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 3 | 5 | 4 | 1 | 4 |
| 864 | 1 | 41 | Non-Travel | 906 | Research & Development | 5 | 2 | Life Sciences | 1 | 1210 | 1 | Male | 95 | 2 | 1 | Research Scientist | 1 | Divorced | 2107 | 20293 | 6 | Y | No | 17 | 3 | 1 | 80 | 1 | 5 | 2 | 1 | 1 | 0 | 0 | 0 |
| 865 | 0 | 30 | Travel_Rarely | 1329 | Sales | 29 | 4 | Life Sciences | 1 | 1211 | 3 | Male | 61 | 3 | 2 | Sales Executive | 1 | Divorced | 4115 | 13192 | 8 | Y | No | 19 | 3 | 3 | 80 | 3 | 8 | 3 | 3 | 4 | 3 | 0 | 3 |
| 866 | 0 | 40 | Travel_Frequently | 1184 | Sales | 2 | 4 | Medical | 1 | 1212 | 2 | Male | 62 | 3 | 2 | Sales Executive | 2 | Married | 4327 | 25440 | 5 | Y | No | 12 | 3 | 4 | 80 | 3 | 5 | 2 | 3 | 0 | 0 | 0 | 0 |
| 867 | 0 | 50 | Travel_Frequently | 1421 | Research & Development | 2 | 3 | Medical | 1 | 1215 | 4 | Female | 30 | 3 | 4 | Manager | 1 | Married | 17856 | 9490 | 2 | Y | No | 22 | 4 | 3 | 80 | 1 | 32 | 3 | 3 | 2 | 2 | 2 | 2 |
| 868 | 0 | 28 | Travel_Rarely | 1179 | Research & Development | 19 | 4 | Medical | 1 | 1216 | 4 | Male | 78 | 2 | 1 | Laboratory Technician | 1 | Married | 3196 | 12449 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 6 | 2 | 3 | 6 | 5 | 3 | 3 |
| 869 | 0 | 46 | Travel_Rarely | 1450 | Research & Development | 15 | 2 | Life Sciences | 1 | 1217 | 4 | Male | 52 | 3 | 5 | Research Director | 2 | Married | 19081 | 10849 | 5 | Y | No | 11 | 3 | 1 | 80 | 1 | 25 | 2 | 3 | 4 | 2 | 0 | 3 |
| 870 | 0 | 35 | Travel_Rarely | 1361 | Sales | 17 | 4 | Life Sciences | 1 | 1218 | 3 | Male | 94 | 3 | 2 | Sales Executive | 1 | Married | 8966 | 21026 | 3 | Y | Yes | 15 | 3 | 4 | 80 | 3 | 15 | 2 | 3 | 7 | 7 | 1 | 7 |
| 871 | 1 | 24 | Travel_Rarely | 984 | Research & Development | 17 | 2 | Life Sciences | 1 | 1219 | 4 | Female | 97 | 3 | 1 | Laboratory Technician | 2 | Married | 2210 | 3372 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 1 | 3 | 1 | 1 | 0 | 0 | 0 |
| 872 | 0 | 33 | Travel_Frequently | 1146 | Sales | 25 | 3 | Medical | 1 | 1220 | 2 | Female | 82 | 3 | 2 | Sales Executive | 3 | Married | 4539 | 4905 | 1 | Y | No | 12 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 10 | 7 | 0 | 1 |
| 873 | 0 | 36 | Travel_Rarely | 917 | Research & Development | 6 | 4 | Life Sciences | 1 | 1221 | 3 | Male | 60 | 1 | 1 | Laboratory Technician | 3 | Divorced | 2741 | 6865 | 1 | Y | No | 14 | 3 | 3 | 80 | 1 | 7 | 4 | 3 | 7 | 7 | 1 | 7 |
| 874 | 0 | 30 | Travel_Rarely | 853 | Research & Development | 7 | 4 | Life Sciences | 1 | 1224 | 3 | Male | 49 | 3 | 2 | Laboratory Technician | 3 | Divorced | 3491 | 11309 | 1 | Y | No | 13 | 3 | 1 | 80 | 3 | 10 | 4 | 2 | 10 | 7 | 8 | 9 |
| 875 | 0 | 44 | Travel_Rarely | 200 | Research & Development | 29 | 4 | Other | 1 | 1225 | 4 | Male | 32 | 3 | 2 | Research Scientist | 4 | Single | 4541 | 7744 | 1 | Y | No | 25 | 4 | 2 | 80 | 0 | 20 | 3 | 3 | 20 | 11 | 13 | 17 |
| 876 | 0 | 20 | Travel_Rarely | 654 | Sales | 21 | 3 | Marketing | 1 | 1226 | 3 | Male | 43 | 4 | 1 | Sales Representative | 4 | Single | 2678 | 5050 | 1 | Y | No | 17 | 3 | 4 | 80 | 0 | 2 | 2 | 3 | 2 | 1 | 2 | 2 |
| 877 | 0 | 46 | Travel_Rarely | 150 | Research & Development | 2 | 4 | Technical Degree | 1 | 1228 | 4 | Male | 60 | 3 | 2 | Manufacturing Director | 4 | Divorced | 7379 | 17433 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 12 | 3 | 2 | 6 | 3 | 1 | 4 |
| 878 | 0 | 42 | Non-Travel | 179 | Human Resources | 2 | 5 | Medical | 1 | 1231 | 4 | Male | 79 | 4 | 2 | Human Resources | 1 | Married | 6272 | 12858 | 7 | Y | No | 16 | 3 | 1 | 80 | 1 | 10 | 3 | 4 | 4 | 3 | 0 | 3 |
| 879 | 0 | 60 | Travel_Rarely | 696 | Sales | 7 | 4 | Marketing | 1 | 1233 | 2 | Male | 52 | 4 | 2 | Sales Executive | 4 | Divorced | 5220 | 10893 | 0 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 12 | 3 | 3 | 11 | 7 | 1 | 9 |
| 880 | 0 | 32 | Travel_Frequently | 116 | Research & Development | 13 | 3 | Other | 1 | 1234 | 3 | Female | 77 | 2 | 1 | Laboratory Technician | 2 | Married | 2743 | 7331 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 2 | 2 | 3 | 2 | 2 | 2 | 2 |
| 881 | 0 | 32 | Travel_Frequently | 1316 | Research & Development | 2 | 2 | Life Sciences | 1 | 1235 | 4 | Female | 38 | 3 | 2 | Research Scientist | 3 | Single | 4998 | 2338 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 0 | 7 |
| 882 | 0 | 36 | Travel_Rarely | 363 | Research & Development | 1 | 3 | Technical Degree | 1 | 1237 | 3 | Female | 77 | 1 | 3 | Manufacturing Director | 1 | Divorced | 10252 | 4235 | 2 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 17 | 2 | 3 | 7 | 7 | 7 | 7 |
| 883 | 0 | 33 | Travel_Rarely | 117 | Research & Development | 9 | 3 | Medical | 1 | 1238 | 1 | Male | 60 | 3 | 1 | Research Scientist | 4 | Married | 2781 | 6311 | 0 | Y | No | 13 | 3 | 2 | 80 | 1 | 15 | 5 | 3 | 14 | 10 | 4 | 10 |
| 884 | 0 | 40 | Travel_Rarely | 107 | Sales | 10 | 3 | Technical Degree | 1 | 1239 | 2 | Female | 84 | 2 | 2 | Sales Executive | 2 | Divorced | 6852 | 11591 | 7 | Y | No | 12 | 3 | 2 | 80 | 1 | 7 | 2 | 4 | 5 | 1 | 1 | 3 |
| 885 | 0 | 25 | Travel_Rarely | 1356 | Sales | 10 | 4 | Life Sciences | 1 | 1240 | 3 | Male | 57 | 3 | 2 | Sales Executive | 4 | Single | 4950 | 20623 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 4 | 3 | 4 | 3 | 1 | 1 |
| 886 | 0 | 30 | Travel_Rarely | 1465 | Research & Development | 1 | 3 | Medical | 1 | 1241 | 4 | Male | 63 | 3 | 1 | Research Scientist | 2 | Married | 3579 | 9369 | 0 | Y | Yes | 21 | 4 | 1 | 80 | 1 | 12 | 2 | 3 | 11 | 9 | 5 | 7 |
| 887 | 0 | 42 | Travel_Frequently | 458 | Research & Development | 26 | 5 | Medical | 1 | 1242 | 1 | Female | 60 | 3 | 3 | Research Director | 1 | Married | 13191 | 23281 | 3 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 20 | 6 | 3 | 1 | 0 | 0 | 0 |
| 888 | 0 | 35 | Non-Travel | 1212 | Sales | 8 | 2 | Marketing | 1 | 1243 | 3 | Female | 78 | 2 | 3 | Sales Executive | 4 | Married | 10377 | 13755 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 16 | 6 | 2 | 13 | 2 | 4 | 12 |
| 889 | 0 | 27 | Travel_Rarely | 1103 | Research & Development | 14 | 3 | Life Sciences | 1 | 1244 | 1 | Male | 42 | 3 | 1 | Research Scientist | 1 | Married | 2235 | 14377 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 9 | 3 | 2 | 9 | 7 | 6 | 8 |
| 890 | 0 | 54 | Travel_Frequently | 966 | Research & Development | 1 | 4 | Life Sciences | 1 | 1245 | 4 | Female | 53 | 3 | 3 | Manufacturing Director | 3 | Divorced | 10502 | 9659 | 7 | Y | No | 17 | 3 | 1 | 80 | 1 | 33 | 2 | 1 | 5 | 4 | 1 | 4 |
| 891 | 0 | 44 | Travel_Rarely | 1117 | Research & Development | 2 | 1 | Life Sciences | 1 | 1246 | 1 | Female | 72 | 4 | 1 | Research Scientist | 4 | Married | 2011 | 19982 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 10 | 5 | 7 | 7 |
| 892 | 1 | 19 | Non-Travel | 504 | Research & Development | 10 | 3 | Medical | 1 | 1248 | 1 | Female | 96 | 2 | 1 | Research Scientist | 2 | Single | 1859 | 6148 | 1 | Y | Yes | 25 | 4 | 2 | 80 | 0 | 1 | 2 | 4 | 1 | 1 | 0 | 0 |
| 893 | 0 | 29 | Travel_Rarely | 1010 | Research & Development | 1 | 3 | Life Sciences | 1 | 1249 | 1 | Female | 97 | 3 | 1 | Research Scientist | 4 | Divorced | 3760 | 5598 | 1 | Y | No | 15 | 3 | 1 | 80 | 3 | 3 | 5 | 3 | 3 | 2 | 1 | 2 |
| 894 | 0 | 54 | Travel_Rarely | 685 | Research & Development | 3 | 3 | Life Sciences | 1 | 1250 | 4 | Male | 85 | 3 | 4 | Research Director | 4 | Married | 17779 | 23474 | 3 | Y | No | 14 | 3 | 1 | 80 | 0 | 36 | 2 | 3 | 10 | 9 | 0 | 9 |
| 895 | 0 | 31 | Travel_Rarely | 1332 | Research & Development | 11 | 2 | Medical | 1 | 1251 | 3 | Male | 80 | 3 | 2 | Healthcare Representative | 1 | Married | 6833 | 17089 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 6 | 2 | 2 | 6 | 5 | 0 | 1 |
| 896 | 0 | 31 | Travel_Rarely | 1062 | Research & Development | 24 | 3 | Medical | 1 | 1252 | 3 | Female | 96 | 2 | 2 | Healthcare Representative | 1 | Single | 6812 | 17198 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 10 | 9 | 1 | 8 |
| 897 | 0 | 59 | Travel_Rarely | 326 | Sales | 3 | 3 | Life Sciences | 1 | 1254 | 3 | Female | 48 | 2 | 2 | Sales Executive | 4 | Single | 5171 | 16490 | 5 | Y | No | 17 | 3 | 4 | 80 | 0 | 13 | 2 | 3 | 6 | 1 | 0 | 5 |
| 898 | 0 | 43 | Travel_Rarely | 920 | Research & Development | 3 | 3 | Life Sciences | 1 | 1255 | 3 | Male | 96 | 1 | 5 | Research Director | 4 | Married | 19740 | 18625 | 3 | Y | No | 14 | 3 | 2 | 80 | 1 | 25 | 2 | 3 | 8 | 7 | 0 | 7 |
| 899 | 0 | 49 | Travel_Rarely | 1098 | Research & Development | 4 | 2 | Medical | 1 | 1256 | 1 | Male | 85 | 2 | 5 | Manager | 3 | Married | 18711 | 12124 | 2 | Y | No | 13 | 3 | 3 | 80 | 1 | 23 | 2 | 4 | 1 | 0 | 0 | 0 |
| 900 | 0 | 36 | Travel_Frequently | 469 | Research & Development | 3 | 3 | Technical Degree | 1 | 1257 | 3 | Male | 46 | 3 | 1 | Research Scientist | 2 | Married | 3692 | 9256 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 12 | 2 | 2 | 11 | 10 | 0 | 7 |
| 901 | 0 | 48 | Travel_Rarely | 969 | Research & Development | 2 | 2 | Technical Degree | 1 | 1258 | 4 | Male | 76 | 4 | 1 | Laboratory Technician | 2 | Single | 2559 | 16620 | 5 | Y | No | 11 | 3 | 3 | 80 | 0 | 7 | 4 | 2 | 1 | 0 | 0 | 0 |
| 902 | 0 | 27 | Travel_Rarely | 1167 | Research & Development | 4 | 2 | Life Sciences | 1 | 1259 | 1 | Male | 76 | 3 | 1 | Research Scientist | 3 | Divorced | 2517 | 3208 | 1 | Y | No | 11 | 3 | 2 | 80 | 3 | 5 | 2 | 3 | 5 | 3 | 0 | 3 |
| 903 | 0 | 29 | Travel_Rarely | 1329 | Research & Development | 7 | 3 | Life Sciences | 1 | 1260 | 3 | Male | 82 | 3 | 2 | Healthcare Representative | 4 | Divorced | 6623 | 4204 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 6 | 2 | 3 | 6 | 0 | 1 | 0 |
| 904 | 0 | 48 | Travel_Rarely | 715 | Research & Development | 1 | 3 | Life Sciences | 1 | 1263 | 4 | Male | 76 | 2 | 5 | Research Director | 4 | Single | 18265 | 8733 | 6 | Y | No | 12 | 3 | 3 | 80 | 0 | 25 | 3 | 4 | 1 | 0 | 0 | 0 |
| 905 | 0 | 29 | Travel_Rarely | 694 | Research & Development | 1 | 3 | Life Sciences | 1 | 1264 | 4 | Female | 87 | 2 | 4 | Research Director | 4 | Divorced | 16124 | 3423 | 3 | Y | No | 14 | 3 | 2 | 80 | 2 | 9 | 2 | 2 | 7 | 7 | 1 | 7 |
| 906 | 0 | 34 | Travel_Rarely | 1320 | Research & Development | 20 | 3 | Technical Degree | 1 | 1265 | 3 | Female | 89 | 4 | 1 | Research Scientist | 3 | Married | 2585 | 21643 | 0 | Y | No | 17 | 3 | 4 | 80 | 0 | 2 | 5 | 2 | 1 | 0 | 0 | 0 |
| 907 | 0 | 44 | Travel_Rarely | 1099 | Sales | 5 | 3 | Marketing | 1 | 1267 | 2 | Male | 88 | 3 | 5 | Manager | 2 | Married | 18213 | 8751 | 7 | Y | No | 11 | 3 | 3 | 80 | 1 | 26 | 5 | 3 | 22 | 9 | 3 | 10 |
| 908 | 0 | 33 | Travel_Rarely | 536 | Sales | 10 | 5 | Marketing | 1 | 1268 | 4 | Male | 82 | 4 | 3 | Sales Executive | 3 | Divorced | 8380 | 21708 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 10 | 3 | 3 | 9 | 8 | 0 | 8 |
| 909 | 0 | 19 | Travel_Rarely | 265 | Research & Development | 25 | 3 | Life Sciences | 1 | 1269 | 2 | Female | 57 | 4 | 1 | Research Scientist | 4 | Single | 2994 | 21221 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 1 |
| 910 | 0 | 23 | Travel_Rarely | 373 | Research & Development | 1 | 2 | Life Sciences | 1 | 1270 | 4 | Male | 47 | 3 | 1 | Research Scientist | 3 | Married | 1223 | 16901 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 1 |
| 911 | 1 | 25 | Travel_Frequently | 599 | Sales | 24 | 1 | Life Sciences | 1 | 1273 | 3 | Male | 73 | 1 | 1 | Sales Representative | 4 | Single | 1118 | 8040 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 1 | 4 | 3 | 1 | 0 | 1 | 0 |
| 912 | 0 | 26 | Travel_Rarely | 583 | Research & Development | 4 | 2 | Life Sciences | 1 | 1275 | 3 | Male | 53 | 3 | 1 | Research Scientist | 4 | Single | 2875 | 9973 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 8 | 2 | 2 | 8 | 5 | 2 | 2 |
| 913 | 1 | 45 | Travel_Rarely | 1449 | Sales | 2 | 3 | Marketing | 1 | 1277 | 1 | Female | 94 | 1 | 5 | Manager | 2 | Single | 18824 | 2493 | 2 | Y | Yes | 16 | 3 | 1 | 80 | 0 | 26 | 2 | 3 | 24 | 10 | 1 | 11 |
| 914 | 0 | 55 | Non-Travel | 177 | Research & Development | 8 | 1 | Medical | 1 | 1278 | 4 | Male | 37 | 2 | 4 | Healthcare Representative | 2 | Divorced | 13577 | 25592 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 34 | 3 | 3 | 33 | 9 | 15 | 0 |
| 915 | 1 | 21 | Travel_Frequently | 251 | Research & Development | 10 | 2 | Life Sciences | 1 | 1279 | 1 | Female | 45 | 2 | 1 | Laboratory Technician | 3 | Single | 2625 | 25308 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 2 | 2 | 1 | 2 | 2 | 2 | 2 |
| 916 | 0 | 46 | Travel_Rarely | 168 | Sales | 4 | 2 | Marketing | 1 | 1280 | 4 | Female | 33 | 2 | 5 | Manager | 2 | Married | 18789 | 9946 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 26 | 2 | 3 | 11 | 4 | 0 | 8 |
| 917 | 0 | 34 | Travel_Rarely | 131 | Sales | 2 | 3 | Marketing | 1 | 1281 | 3 | Female | 86 | 3 | 2 | Sales Executive | 1 | Single | 4538 | 6039 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 0 | 2 |
| 918 | 0 | 51 | Travel_Frequently | 237 | Sales | 9 | 3 | Life Sciences | 1 | 1282 | 4 | Male | 83 | 3 | 5 | Manager | 2 | Divorced | 19847 | 19196 | 4 | Y | Yes | 24 | 4 | 1 | 80 | 1 | 31 | 5 | 2 | 29 | 10 | 11 | 10 |
| 919 | 0 | 59 | Travel_Rarely | 1429 | Research & Development | 18 | 4 | Medical | 1 | 1283 | 4 | Male | 67 | 3 | 3 | Manufacturing Director | 4 | Single | 10512 | 20002 | 6 | Y | No | 12 | 3 | 4 | 80 | 0 | 25 | 6 | 2 | 9 | 7 | 5 | 4 |
| 920 | 0 | 34 | Travel_Frequently | 135 | Research & Development | 19 | 3 | Medical | 1 | 1285 | 3 | Female | 46 | 3 | 2 | Laboratory Technician | 2 | Divorced | 4444 | 22534 | 4 | Y | No | 13 | 3 | 3 | 80 | 2 | 15 | 2 | 4 | 11 | 8 | 5 | 10 |
| 921 | 0 | 28 | Travel_Frequently | 791 | Research & Development | 1 | 4 | Medical | 1 | 1286 | 4 | Male | 44 | 3 | 1 | Laboratory Technician | 3 | Single | 2154 | 6842 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 5 | 2 | 2 | 4 | 2 | 0 | 2 |
| 922 | 0 | 44 | Travel_Rarely | 1199 | Research & Development | 4 | 2 | Life Sciences | 1 | 1288 | 3 | Male | 92 | 4 | 5 | Manager | 1 | Divorced | 19190 | 17477 | 1 | Y | No | 14 | 3 | 4 | 80 | 2 | 26 | 4 | 2 | 25 | 9 | 14 | 13 |
| 923 | 0 | 34 | Travel_Frequently | 648 | Human Resources | 11 | 3 | Life Sciences | 1 | 1289 | 3 | Male | 56 | 2 | 2 | Human Resources | 2 | Married | 4490 | 21833 | 4 | Y | No | 11 | 3 | 4 | 80 | 2 | 14 | 5 | 4 | 10 | 9 | 1 | 8 |
| 924 | 0 | 35 | Travel_Rarely | 735 | Research & Development | 6 | 1 | Life Sciences | 1 | 1291 | 3 | Male | 66 | 3 | 1 | Research Scientist | 3 | Married | 3506 | 6020 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 2 | 2 |
| 925 | 0 | 42 | Travel_Rarely | 603 | Research & Development | 7 | 4 | Medical | 1 | 1292 | 2 | Female | 78 | 4 | 2 | Research Scientist | 2 | Married | 2372 | 5628 | 6 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 1 | 0 | 0 | 0 |
| 926 | 0 | 43 | Travel_Rarely | 531 | Sales | 4 | 4 | Marketing | 1 | 1293 | 4 | Female | 56 | 2 | 3 | Sales Executive | 4 | Single | 10231 | 20364 | 3 | Y | No | 14 | 3 | 4 | 80 | 0 | 23 | 3 | 4 | 21 | 7 | 15 | 17 |
| 927 | 0 | 36 | Travel_Rarely | 429 | Research & Development | 2 | 4 | Life Sciences | 1 | 1294 | 3 | Female | 53 | 3 | 2 | Manufacturing Director | 2 | Single | 5410 | 2323 | 9 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 16 | 14 | 5 | 12 |
| 928 | 1 | 44 | Travel_Rarely | 621 | Research & Development | 15 | 3 | Medical | 1 | 1295 | 1 | Female | 73 | 3 | 3 | Healthcare Representative | 4 | Married | 7978 | 14075 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 0 | 5 |
| 929 | 0 | 28 | Travel_Frequently | 193 | Research & Development | 2 | 3 | Life Sciences | 1 | 1296 | 4 | Male | 52 | 2 | 1 | Laboratory Technician | 4 | Married | 3867 | 14222 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 2 | 2 | 3 | 2 | 2 | 2 | 2 |
| 930 | 0 | 51 | Travel_Frequently | 968 | Research & Development | 6 | 2 | Medical | 1 | 1297 | 2 | Female | 40 | 2 | 1 | Laboratory Technician | 3 | Single | 2838 | 4257 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 8 | 6 | 2 | 7 | 0 | 7 | 7 |
| 931 | 0 | 30 | Non-Travel | 879 | Research & Development | 9 | 2 | Medical | 1 | 1298 | 3 | Female | 72 | 3 | 2 | Manufacturing Director | 3 | Single | 4695 | 12858 | 7 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 8 | 4 | 1 | 7 |
| 932 | 1 | 29 | Travel_Rarely | 806 | Research & Development | 7 | 3 | Technical Degree | 1 | 1299 | 2 | Female | 39 | 3 | 1 | Laboratory Technician | 3 | Divorced | 3339 | 17285 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 2 | 10 | 2 | 3 | 7 | 7 | 7 | 7 |
| 933 | 0 | 28 | Travel_Rarely | 640 | Research & Development | 1 | 3 | Technical Degree | 1 | 1301 | 4 | Male | 84 | 3 | 1 | Research Scientist | 1 | Single | 2080 | 4732 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 5 | 2 | 2 | 3 | 2 | 1 | 2 |
| 934 | 0 | 25 | Travel_Rarely | 266 | Research & Development | 1 | 3 | Medical | 1 | 1303 | 4 | Female | 40 | 3 | 1 | Research Scientist | 2 | Single | 2096 | 18830 | 1 | Y | No | 18 | 3 | 4 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 2 | 1 |
| 935 | 0 | 32 | Travel_Rarely | 604 | Sales | 8 | 3 | Medical | 1 | 1304 | 3 | Male | 56 | 4 | 2 | Sales Executive | 4 | Married | 6209 | 11693 | 1 | Y | No | 15 | 3 | 3 | 80 | 2 | 10 | 4 | 4 | 10 | 7 | 0 | 8 |
| 936 | 0 | 45 | Travel_Frequently | 364 | Research & Development | 25 | 3 | Medical | 1 | 1306 | 2 | Female | 83 | 3 | 5 | Manager | 2 | Single | 18061 | 13035 | 3 | Y | No | 22 | 4 | 3 | 80 | 0 | 22 | 4 | 3 | 0 | 0 | 0 | 0 |
| 937 | 0 | 39 | Travel_Rarely | 412 | Research & Development | 13 | 4 | Medical | 1 | 1307 | 3 | Female | 94 | 2 | 4 | Manager | 2 | Divorced | 17123 | 17334 | 6 | Y | Yes | 13 | 3 | 4 | 80 | 2 | 21 | 4 | 3 | 19 | 9 | 15 | 2 |
| 938 | 0 | 58 | Travel_Rarely | 848 | Research & Development | 23 | 4 | Life Sciences | 1 | 1308 | 1 | Male | 88 | 3 | 1 | Research Scientist | 3 | Divorced | 2372 | 26076 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
| 939 | 1 | 32 | Travel_Rarely | 1089 | Research & Development | 7 | 2 | Life Sciences | 1 | 1309 | 4 | Male | 79 | 3 | 2 | Laboratory Technician | 3 | Married | 4883 | 22845 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 4 | 1 | 1 |
| 940 | 1 | 39 | Travel_Rarely | 360 | Research & Development | 23 | 3 | Medical | 1 | 1310 | 3 | Male | 93 | 3 | 1 | Research Scientist | 1 | Single | 3904 | 22154 | 0 | Y | No | 13 | 3 | 1 | 80 | 0 | 6 | 2 | 3 | 5 | 2 | 0 | 3 |
| 941 | 0 | 30 | Travel_Rarely | 1138 | Research & Development | 6 | 3 | Technical Degree | 1 | 1311 | 1 | Female | 48 | 2 | 2 | Laboratory Technician | 4 | Married | 4627 | 23631 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 10 | 6 | 3 | 9 | 2 | 6 | 7 |
| 942 | 0 | 36 | Travel_Rarely | 325 | Research & Development | 10 | 4 | Technical Degree | 1 | 1312 | 4 | Female | 63 | 3 | 3 | Healthcare Representative | 3 | Married | 7094 | 5747 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 10 | 0 | 3 | 7 | 7 | 1 | 7 |
| 943 | 0 | 46 | Travel_Rarely | 991 | Human Resources | 1 | 2 | Life Sciences | 1 | 1314 | 4 | Female | 44 | 3 | 1 | Human Resources | 1 | Single | 3423 | 22957 | 6 | Y | No | 12 | 3 | 3 | 80 | 0 | 10 | 3 | 4 | 7 | 6 | 5 | 7 |
| 944 | 0 | 28 | Non-Travel | 1476 | Research & Development | 1 | 3 | Life Sciences | 1 | 1315 | 3 | Female | 55 | 1 | 2 | Laboratory Technician | 4 | Married | 6674 | 16392 | 0 | Y | No | 11 | 3 | 1 | 80 | 3 | 10 | 6 | 3 | 9 | 8 | 7 | 5 |
| 945 | 0 | 50 | Travel_Rarely | 1322 | Research & Development | 28 | 3 | Life Sciences | 1 | 1317 | 4 | Female | 43 | 3 | 4 | Research Director | 1 | Married | 16880 | 22422 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 25 | 2 | 3 | 3 | 2 | 1 | 2 |
| 946 | 1 | 40 | Travel_Rarely | 299 | Sales | 25 | 4 | Marketing | 1 | 1318 | 4 | Male | 57 | 2 | 3 | Sales Executive | 2 | Single | 9094 | 17235 | 2 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 5 | 4 | 1 | 0 |
| 947 | 1 | 52 | Travel_Rarely | 1030 | Sales | 5 | 3 | Life Sciences | 1 | 1319 | 2 | Male | 64 | 3 | 3 | Sales Executive | 2 | Single | 8446 | 21534 | 9 | Y | Yes | 19 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 8 | 7 | 7 | 7 |
| 948 | 0 | 30 | Travel_Rarely | 634 | Research & Development | 17 | 4 | Medical | 1 | 1321 | 2 | Female | 95 | 3 | 3 | Manager | 1 | Married | 11916 | 25927 | 1 | Y | Yes | 23 | 4 | 4 | 80 | 2 | 9 | 2 | 3 | 9 | 1 | 0 | 8 |
| 949 | 0 | 39 | Travel_Rarely | 524 | Research & Development | 18 | 2 | Life Sciences | 1 | 1322 | 1 | Male | 32 | 3 | 2 | Manufacturing Director | 3 | Single | 4534 | 13352 | 0 | Y | No | 11 | 3 | 1 | 80 | 0 | 9 | 6 | 3 | 8 | 7 | 1 | 7 |
| 950 | 0 | 31 | Non-Travel | 587 | Sales | 2 | 4 | Life Sciences | 1 | 1324 | 4 | Female | 57 | 3 | 3 | Sales Executive | 3 | Divorced | 9852 | 8935 | 1 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 10 | 5 | 2 | 10 | 8 | 9 | 6 |
| 951 | 0 | 41 | Non-Travel | 256 | Sales | 10 | 2 | Medical | 1 | 1329 | 3 | Male | 40 | 1 | 2 | Sales Executive | 2 | Single | 6151 | 22074 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 19 | 4 | 3 | 19 | 2 | 11 | 9 |
| 952 | 1 | 31 | Travel_Frequently | 1060 | Sales | 1 | 3 | Life Sciences | 1 | 1331 | 4 | Female | 54 | 3 | 1 | Sales Representative | 2 | Single | 2302 | 8319 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 3 | 2 | 4 | 3 | 2 | 2 | 2 |
| 953 | 1 | 44 | Travel_Rarely | 935 | Research & Development | 3 | 3 | Life Sciences | 1 | 1333 | 1 | Male | 89 | 3 | 1 | Laboratory Technician | 1 | Married | 2362 | 14669 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 10 | 4 | 4 | 3 | 2 | 1 | 2 |
| 954 | 0 | 42 | Non-Travel | 495 | Research & Development | 2 | 1 | Life Sciences | 1 | 1334 | 3 | Male | 37 | 3 | 4 | Manager | 3 | Married | 17861 | 26582 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 21 | 3 | 2 | 20 | 8 | 2 | 10 |
| 955 | 0 | 55 | Travel_Rarely | 282 | Research & Development | 2 | 2 | Medical | 1 | 1336 | 4 | Female | 58 | 1 | 5 | Manager | 3 | Married | 19187 | 6992 | 4 | Y | No | 14 | 3 | 4 | 80 | 1 | 23 | 5 | 3 | 19 | 9 | 9 | 11 |
| 956 | 0 | 56 | Travel_Rarely | 206 | Human Resources | 8 | 4 | Life Sciences | 1 | 1338 | 4 | Male | 99 | 3 | 5 | Manager | 2 | Single | 19717 | 4022 | 6 | Y | No | 14 | 3 | 1 | 80 | 0 | 36 | 4 | 3 | 7 | 3 | 7 | 7 |
| 957 | 0 | 40 | Non-Travel | 458 | Research & Development | 16 | 2 | Life Sciences | 1 | 1340 | 3 | Male | 74 | 3 | 1 | Research Scientist | 3 | Divorced | 3544 | 8532 | 9 | Y | No | 16 | 3 | 2 | 80 | 1 | 6 | 0 | 3 | 4 | 2 | 0 | 0 |
| 958 | 0 | 34 | Travel_Rarely | 943 | Research & Development | 9 | 3 | Life Sciences | 1 | 1344 | 4 | Male | 86 | 3 | 3 | Healthcare Representative | 4 | Divorced | 8500 | 5494 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 0 | 2 | 9 | 7 | 1 | 6 |
| 959 | 0 | 40 | Travel_Rarely | 523 | Research & Development | 2 | 3 | Life Sciences | 1 | 1346 | 3 | Male | 98 | 3 | 2 | Research Scientist | 4 | Single | 4661 | 22455 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 9 | 4 | 3 | 9 | 8 | 8 | 8 |
| 960 | 0 | 41 | Travel_Frequently | 1018 | Sales | 1 | 3 | Marketing | 1 | 1349 | 3 | Female | 66 | 3 | 2 | Sales Executive | 1 | Divorced | 4103 | 4297 | 0 | Y | No | 17 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 9 | 3 | 1 | 7 |
| 961 | 0 | 35 | Travel_Frequently | 482 | Research & Development | 4 | 4 | Life Sciences | 1 | 1350 | 3 | Male | 87 | 3 | 2 | Research Scientist | 3 | Single | 4249 | 2690 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 9 | 3 | 3 | 9 | 6 | 1 | 1 |
| 962 | 0 | 51 | Travel_Rarely | 770 | Human Resources | 5 | 3 | Life Sciences | 1 | 1352 | 3 | Male | 84 | 3 | 4 | Manager | 2 | Divorced | 14026 | 17588 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 33 | 2 | 3 | 33 | 9 | 0 | 10 |
| 963 | 0 | 38 | Travel_Rarely | 1009 | Sales | 2 | 2 | Life Sciences | 1 | 1355 | 2 | Female | 31 | 3 | 2 | Sales Executive | 1 | Divorced | 6893 | 19461 | 3 | Y | No | 15 | 3 | 4 | 80 | 1 | 11 | 3 | 3 | 7 | 7 | 1 | 7 |
| 964 | 0 | 34 | Travel_Rarely | 507 | Sales | 15 | 2 | Medical | 1 | 1356 | 3 | Female | 66 | 3 | 2 | Sales Executive | 1 | Single | 6125 | 23553 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 6 | 4 | 10 | 8 | 9 | 6 |
| 965 | 0 | 25 | Travel_Rarely | 882 | Research & Development | 19 | 1 | Medical | 1 | 1358 | 4 | Male | 67 | 3 | 1 | Laboratory Technician | 4 | Married | 3669 | 9075 | 3 | Y | No | 11 | 3 | 3 | 80 | 3 | 7 | 6 | 2 | 3 | 2 | 1 | 2 |
| 966 | 1 | 58 | Travel_Rarely | 601 | Research & Development | 7 | 4 | Medical | 1 | 1360 | 3 | Female | 53 | 2 | 3 | Manufacturing Director | 1 | Married | 10008 | 12023 | 7 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 31 | 0 | 2 | 10 | 9 | 5 | 9 |
| 967 | 0 | 40 | Travel_Rarely | 329 | Research & Development | 1 | 4 | Life Sciences | 1 | 1361 | 2 | Male | 88 | 3 | 1 | Laboratory Technician | 2 | Married | 2387 | 6762 | 3 | Y | No | 22 | 4 | 3 | 80 | 1 | 7 | 3 | 3 | 4 | 2 | 0 | 3 |
| 968 | 0 | 36 | Travel_Frequently | 607 | Sales | 7 | 3 | Marketing | 1 | 1362 | 1 | Female | 83 | 4 | 2 | Sales Executive | 1 | Married | 4639 | 2261 | 2 | Y | No | 16 | 3 | 4 | 80 | 1 | 17 | 2 | 2 | 15 | 7 | 6 | 13 |
| 969 | 0 | 48 | Travel_Rarely | 855 | Research & Development | 4 | 3 | Life Sciences | 1 | 1363 | 4 | Male | 54 | 3 | 3 | Manufacturing Director | 4 | Single | 7898 | 18706 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 11 | 2 | 3 | 10 | 9 | 0 | 8 |
| 970 | 0 | 27 | Travel_Rarely | 1291 | Sales | 11 | 3 | Medical | 1 | 1364 | 3 | Female | 98 | 4 | 1 | Sales Representative | 4 | Married | 2534 | 6527 | 8 | Y | No | 14 | 3 | 2 | 80 | 1 | 5 | 4 | 3 | 1 | 0 | 0 | 0 |
| 971 | 0 | 51 | Travel_Rarely | 1405 | Research & Development | 11 | 2 | Technical Degree | 1 | 1367 | 4 | Female | 82 | 2 | 4 | Manufacturing Director | 2 | Single | 13142 | 24439 | 3 | Y | No | 16 | 3 | 2 | 80 | 0 | 29 | 1 | 2 | 5 | 2 | 0 | 3 |
| 972 | 0 | 18 | Non-Travel | 1124 | Research & Development | 1 | 3 | Life Sciences | 1 | 1368 | 4 | Female | 97 | 3 | 1 | Laboratory Technician | 4 | Single | 1611 | 19305 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 0 | 5 | 4 | 0 | 0 | 0 | 0 |
| 973 | 0 | 35 | Travel_Rarely | 817 | Research & Development | 1 | 3 | Medical | 1 | 1369 | 4 | Female | 60 | 2 | 2 | Laboratory Technician | 4 | Married | 5363 | 10846 | 0 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 0 | 3 | 9 | 7 | 0 | 0 |
| 974 | 0 | 27 | Travel_Frequently | 793 | Sales | 2 | 1 | Life Sciences | 1 | 1371 | 4 | Male | 43 | 1 | 2 | Sales Executive | 4 | Single | 5071 | 20392 | 3 | Y | No | 20 | 4 | 2 | 80 | 0 | 8 | 3 | 3 | 6 | 2 | 0 | 0 |
| 975 | 1 | 55 | Travel_Rarely | 267 | Sales | 13 | 4 | Marketing | 1 | 1372 | 1 | Male | 85 | 4 | 4 | Sales Executive | 3 | Single | 13695 | 9277 | 6 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 24 | 2 | 2 | 19 | 7 | 3 | 8 |
| 976 | 0 | 56 | Travel_Rarely | 1369 | Research & Development | 23 | 3 | Life Sciences | 1 | 1373 | 4 | Male | 68 | 3 | 4 | Manufacturing Director | 2 | Married | 13402 | 18235 | 4 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 33 | 0 | 3 | 19 | 16 | 15 | 9 |
| 977 | 0 | 34 | Non-Travel | 999 | Research & Development | 26 | 1 | Technical Degree | 1 | 1374 | 1 | Female | 92 | 2 | 1 | Research Scientist | 3 | Divorced | 2029 | 15891 | 1 | Y | No | 20 | 4 | 3 | 80 | 3 | 5 | 2 | 3 | 5 | 4 | 0 | 0 |
| 978 | 0 | 40 | Travel_Rarely | 1202 | Research & Development | 2 | 1 | Medical | 1 | 1375 | 2 | Female | 89 | 4 | 2 | Healthcare Representative | 3 | Divorced | 6377 | 13888 | 5 | Y | No | 20 | 4 | 2 | 80 | 3 | 15 | 0 | 3 | 12 | 11 | 11 | 8 |
| 979 | 0 | 34 | Travel_Rarely | 285 | Research & Development | 29 | 3 | Medical | 1 | 1377 | 2 | Male | 86 | 3 | 2 | Laboratory Technician | 3 | Married | 5429 | 17491 | 4 | Y | No | 13 | 3 | 1 | 80 | 2 | 10 | 1 | 3 | 8 | 7 | 7 | 7 |
| 980 | 1 | 31 | Travel_Frequently | 703 | Sales | 2 | 3 | Life Sciences | 1 | 1379 | 3 | Female | 90 | 2 | 1 | Sales Representative | 4 | Single | 2785 | 11882 | 7 | Y | No | 14 | 3 | 3 | 80 | 0 | 3 | 3 | 4 | 1 | 0 | 0 | 0 |
| 981 | 1 | 35 | Travel_Frequently | 662 | Sales | 18 | 4 | Marketing | 1 | 1380 | 4 | Female | 67 | 3 | 2 | Sales Executive | 3 | Married | 4614 | 23288 | 0 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 5 | 0 | 2 | 4 | 2 | 3 | 2 |
| 982 | 0 | 38 | Travel_Frequently | 693 | Research & Development | 7 | 3 | Life Sciences | 1 | 1382 | 4 | Male | 57 | 4 | 1 | Research Scientist | 3 | Divorced | 2610 | 15748 | 1 | Y | No | 11 | 3 | 4 | 80 | 3 | 4 | 2 | 3 | 4 | 2 | 0 | 3 |
| 983 | 0 | 34 | Travel_Rarely | 404 | Research & Development | 2 | 4 | Technical Degree | 1 | 1383 | 3 | Female | 98 | 3 | 2 | Healthcare Representative | 4 | Single | 6687 | 6163 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 14 | 2 | 4 | 14 | 11 | 4 | 11 |
| 984 | 0 | 28 | Travel_Rarely | 736 | Sales | 26 | 3 | Life Sciences | 1 | 1387 | 3 | Male | 48 | 2 | 2 | Sales Executive | 1 | Married | 4724 | 24232 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 0 | 3 | 5 | 3 | 0 | 4 |
| 985 | 1 | 31 | Travel_Rarely | 330 | Research & Development | 22 | 4 | Medical | 1 | 1389 | 4 | Male | 98 | 3 | 2 | Manufacturing Director | 3 | Married | 6179 | 21057 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 2 | 10 | 3 | 2 | 10 | 2 | 6 | 7 |
| 986 | 0 | 39 | Travel_Rarely | 1498 | Sales | 21 | 4 | Life Sciences | 1 | 1390 | 1 | Male | 44 | 2 | 2 | Sales Executive | 4 | Married | 6120 | 3567 | 3 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 8 | 2 | 4 | 5 | 4 | 1 | 4 |
| 987 | 0 | 51 | Travel_Frequently | 541 | Sales | 2 | 3 | Marketing | 1 | 1391 | 2 | Male | 52 | 3 | 3 | Sales Executive | 2 | Married | 10596 | 15395 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 14 | 5 | 3 | 4 | 2 | 3 | 2 |
| 988 | 0 | 41 | Travel_Frequently | 1200 | Research & Development | 22 | 3 | Life Sciences | 1 | 1392 | 4 | Female | 75 | 3 | 2 | Research Scientist | 4 | Divorced | 5467 | 13953 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 2 | 12 | 4 | 2 | 6 | 2 | 3 | 3 |
| 989 | 0 | 37 | Travel_Rarely | 1439 | Research & Development | 4 | 1 | Life Sciences | 1 | 1394 | 3 | Male | 54 | 3 | 1 | Research Scientist | 3 | Married | 2996 | 5182 | 7 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 6 | 4 | 1 | 3 |
| 990 | 0 | 33 | Travel_Frequently | 1111 | Sales | 5 | 1 | Life Sciences | 1 | 1395 | 2 | Male | 61 | 3 | 2 | Sales Executive | 4 | Married | 9998 | 19293 | 6 | Y | No | 13 | 3 | 1 | 80 | 0 | 8 | 2 | 4 | 5 | 4 | 1 | 2 |
| 991 | 0 | 32 | Travel_Rarely | 499 | Sales | 2 | 1 | Marketing | 1 | 1396 | 3 | Male | 36 | 3 | 2 | Sales Executive | 2 | Married | 4078 | 20497 | 0 | Y | Yes | 13 | 3 | 1 | 80 | 3 | 4 | 3 | 2 | 3 | 2 | 1 | 2 |
| 992 | 0 | 39 | Non-Travel | 1485 | Research & Development | 25 | 2 | Life Sciences | 1 | 1397 | 3 | Male | 71 | 3 | 3 | Healthcare Representative | 3 | Married | 10920 | 3449 | 3 | Y | No | 21 | 4 | 2 | 80 | 1 | 13 | 2 | 3 | 6 | 4 | 0 | 5 |
| 993 | 0 | 25 | Travel_Rarely | 1372 | Sales | 18 | 1 | Life Sciences | 1 | 1399 | 1 | Male | 93 | 4 | 2 | Sales Executive | 3 | Married | 6232 | 12477 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 3 | 2 | 3 | 2 | 1 | 2 |
| 994 | 0 | 52 | Travel_Frequently | 322 | Research & Development | 28 | 2 | Medical | 1 | 1401 | 4 | Female | 59 | 4 | 4 | Manufacturing Director | 3 | Married | 13247 | 9731 | 2 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 24 | 3 | 2 | 5 | 3 | 0 | 2 |
| 995 | 0 | 43 | Travel_Rarely | 930 | Research & Development | 6 | 3 | Medical | 1 | 1402 | 1 | Female | 73 | 2 | 2 | Research Scientist | 3 | Single | 4081 | 20003 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 20 | 3 | 1 | 20 | 7 | 1 | 8 |
| 996 | 0 | 27 | Travel_Rarely | 205 | Sales | 10 | 3 | Marketing | 1 | 1403 | 4 | Female | 98 | 2 | 2 | Sales Executive | 4 | Married | 5769 | 7100 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 6 | 2 | 4 | 4 |
| 997 | 1 | 27 | Travel_Rarely | 135 | Research & Development | 17 | 4 | Life Sciences | 1 | 1405 | 4 | Female | 51 | 3 | 1 | Research Scientist | 3 | Single | 2394 | 25681 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 8 | 2 | 7 | 7 |
| 998 | 0 | 26 | Travel_Rarely | 683 | Research & Development | 2 | 1 | Medical | 1 | 1407 | 1 | Male | 36 | 2 | 1 | Research Scientist | 4 | Single | 3904 | 4050 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 4 | 3 | 1 | 1 |
| 999 | 0 | 42 | Travel_Rarely | 1147 | Human Resources | 10 | 3 | Human Resources | 1 | 1408 | 3 | Female | 31 | 3 | 4 | Manager | 1 | Married | 16799 | 16616 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 21 | 5 | 3 | 20 | 7 | 0 | 9 |
| 1000 | 0 | 52 | Travel_Rarely | 258 | Research & Development | 8 | 4 | Other | 1 | 1409 | 3 | Female | 54 | 3 | 1 | Laboratory Technician | 1 | Married | 2950 | 17363 | 9 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 2 | 1 | 5 | 4 | 0 | 4 |
| 1001 | 0 | 37 | Travel_Rarely | 1462 | Research & Development | 11 | 3 | Medical | 1 | 1411 | 1 | Female | 94 | 3 | 1 | Laboratory Technician | 3 | Single | 3629 | 19106 | 4 | Y | No | 18 | 3 | 1 | 80 | 0 | 8 | 6 | 3 | 3 | 2 | 0 | 2 |
| 1002 | 0 | 35 | Travel_Frequently | 200 | Research & Development | 18 | 2 | Life Sciences | 1 | 1412 | 3 | Male | 60 | 3 | 3 | Manufacturing Director | 4 | Single | 9362 | 19944 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1003 | 0 | 25 | Travel_Rarely | 949 | Research & Development | 1 | 3 | Technical Degree | 1 | 1415 | 1 | Male | 81 | 3 | 1 | Laboratory Technician | 4 | Married | 3229 | 4910 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 7 | 2 | 2 | 3 | 2 | 0 | 2 |
| 1004 | 0 | 26 | Travel_Rarely | 652 | Research & Development | 7 | 3 | Other | 1 | 1417 | 3 | Male | 100 | 4 | 1 | Laboratory Technician | 1 | Single | 3578 | 23577 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 7 | 7 | 0 | 7 |
| 1005 | 0 | 29 | Travel_Rarely | 332 | Human Resources | 17 | 3 | Other | 1 | 1419 | 2 | Male | 51 | 2 | 3 | Human Resources | 1 | Single | 7988 | 9769 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 10 | 3 | 2 | 10 | 9 | 0 | 9 |
| 1006 | 1 | 49 | Travel_Frequently | 1475 | Research & Development | 28 | 2 | Life Sciences | 1 | 1420 | 1 | Male | 97 | 2 | 2 | Laboratory Technician | 1 | Single | 4284 | 22710 | 3 | Y | No | 20 | 4 | 1 | 80 | 0 | 20 | 2 | 3 | 4 | 3 | 1 | 3 |
| 1007 | 1 | 29 | Travel_Frequently | 337 | Research & Development | 14 | 1 | Other | 1 | 1421 | 3 | Female | 84 | 3 | 3 | Healthcare Representative | 4 | Single | 7553 | 22930 | 0 | Y | Yes | 12 | 3 | 1 | 80 | 0 | 9 | 1 | 3 | 8 | 7 | 7 | 7 |
| 1008 | 0 | 54 | Travel_Rarely | 971 | Research & Development | 1 | 3 | Medical | 1 | 1422 | 4 | Female | 54 | 3 | 4 | Research Director | 4 | Single | 17328 | 5652 | 6 | Y | No | 19 | 3 | 4 | 80 | 0 | 29 | 3 | 2 | 20 | 7 | 12 | 7 |
| 1009 | 0 | 58 | Travel_Rarely | 1055 | Research & Development | 1 | 3 | Medical | 1 | 1423 | 4 | Female | 76 | 3 | 5 | Research Director | 1 | Married | 19701 | 22456 | 3 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 32 | 3 | 3 | 9 | 8 | 1 | 5 |
| 1010 | 0 | 55 | Travel_Rarely | 1136 | Research & Development | 1 | 4 | Medical | 1 | 1424 | 2 | Male | 81 | 4 | 4 | Research Director | 4 | Divorced | 14732 | 12414 | 2 | Y | No | 13 | 3 | 4 | 80 | 2 | 31 | 4 | 4 | 7 | 7 | 0 | 0 |
| 1011 | 0 | 36 | Travel_Rarely | 1174 | Sales | 3 | 4 | Marketing | 1 | 1425 | 1 | Female | 99 | 3 | 2 | Sales Executive | 2 | Single | 9278 | 20763 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 15 | 3 | 3 | 5 | 4 | 0 | 1 |
| 1012 | 1 | 31 | Travel_Frequently | 667 | Sales | 1 | 4 | Life Sciences | 1 | 1427 | 2 | Female | 50 | 1 | 1 | Sales Representative | 3 | Single | 1359 | 16154 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1013 | 0 | 30 | Travel_Rarely | 855 | Sales | 7 | 4 | Marketing | 1 | 1428 | 4 | Female | 73 | 3 | 2 | Sales Executive | 1 | Divorced | 4779 | 12761 | 7 | Y | No | 14 | 3 | 2 | 80 | 2 | 8 | 3 | 3 | 3 | 2 | 0 | 2 |
| 1014 | 0 | 31 | Travel_Rarely | 182 | Research & Development | 8 | 5 | Life Sciences | 1 | 1430 | 1 | Female | 93 | 3 | 4 | Research Director | 2 | Single | 16422 | 8847 | 3 | Y | No | 11 | 3 | 3 | 80 | 0 | 9 | 3 | 4 | 3 | 2 | 1 | 0 |
| 1015 | 0 | 34 | Travel_Frequently | 560 | Research & Development | 1 | 4 | Other | 1 | 1431 | 4 | Male | 91 | 3 | 1 | Research Scientist | 1 | Divorced | 2996 | 20284 | 5 | Y | No | 14 | 3 | 3 | 80 | 2 | 10 | 2 | 3 | 4 | 3 | 1 | 3 |
| 1016 | 1 | 31 | Travel_Rarely | 202 | Research & Development | 8 | 3 | Life Sciences | 1 | 1433 | 1 | Female | 34 | 2 | 1 | Research Scientist | 2 | Single | 1261 | 22262 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 |
| 1017 | 0 | 27 | Travel_Rarely | 1377 | Research & Development | 11 | 1 | Life Sciences | 1 | 1434 | 2 | Male | 91 | 3 | 1 | Laboratory Technician | 1 | Married | 2099 | 7679 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 6 | 3 | 4 | 5 | 0 | 1 | 4 |
| 1018 | 0 | 36 | Travel_Rarely | 172 | Research & Development | 4 | 4 | Life Sciences | 1 | 1435 | 1 | Male | 37 | 2 | 2 | Laboratory Technician | 4 | Single | 5810 | 22604 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 4 | 1 | 8 |
| 1019 | 0 | 36 | Travel_Rarely | 329 | Sales | 16 | 4 | Marketing | 1 | 1436 | 3 | Female | 98 | 2 | 2 | Sales Executive | 1 | Married | 5647 | 13494 | 4 | Y | No | 13 | 3 | 1 | 80 | 2 | 11 | 3 | 2 | 3 | 2 | 0 | 2 |
| 1020 | 0 | 47 | Travel_Rarely | 465 | Research & Development | 1 | 3 | Technical Degree | 1 | 1438 | 1 | Male | 74 | 3 | 1 | Research Scientist | 4 | Married | 3420 | 10205 | 7 | Y | No | 12 | 3 | 3 | 80 | 1 | 17 | 2 | 2 | 6 | 5 | 1 | 2 |
| 1021 | 1 | 25 | Travel_Rarely | 383 | Sales | 9 | 2 | Life Sciences | 1 | 1439 | 1 | Male | 68 | 2 | 1 | Sales Representative | 1 | Married | 4400 | 15182 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 2 | 3 | 3 | 2 | 2 | 2 |
| 1022 | 0 | 37 | Non-Travel | 1413 | Research & Development | 5 | 2 | Technical Degree | 1 | 1440 | 3 | Male | 84 | 4 | 1 | Laboratory Technician | 3 | Single | 3500 | 25470 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 7 | 2 | 1 | 6 | 5 | 1 | 3 |
| 1023 | 0 | 56 | Travel_Rarely | 1255 | Research & Development | 1 | 2 | Life Sciences | 1 | 1441 | 1 | Female | 90 | 3 | 1 | Research Scientist | 1 | Married | 2066 | 10494 | 2 | Y | No | 22 | 4 | 4 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 1 | 0 |
| 1024 | 0 | 47 | Travel_Rarely | 359 | Research & Development | 2 | 4 | Medical | 1 | 1443 | 1 | Female | 82 | 3 | 4 | Research Director | 3 | Married | 17169 | 26703 | 3 | Y | No | 19 | 3 | 2 | 80 | 2 | 26 | 2 | 4 | 20 | 17 | 5 | 6 |
| 1025 | 0 | 24 | Travel_Rarely | 1476 | Sales | 4 | 1 | Medical | 1 | 1445 | 4 | Female | 42 | 3 | 2 | Sales Executive | 3 | Married | 4162 | 15211 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 5 | 3 | 3 | 5 | 4 | 0 | 3 |
| 1026 | 0 | 32 | Travel_Rarely | 601 | Sales | 7 | 5 | Marketing | 1 | 1446 | 4 | Male | 97 | 3 | 2 | Sales Executive | 4 | Married | 9204 | 23343 | 4 | Y | No | 12 | 3 | 3 | 80 | 1 | 7 | 3 | 2 | 4 | 3 | 0 | 3 |
| 1027 | 0 | 34 | Travel_Rarely | 401 | Research & Development | 1 | 3 | Life Sciences | 1 | 1447 | 4 | Female | 86 | 2 | 1 | Laboratory Technician | 2 | Married | 3294 | 3708 | 5 | Y | No | 17 | 3 | 1 | 80 | 1 | 7 | 2 | 2 | 5 | 4 | 0 | 2 |
| 1028 | 0 | 41 | Travel_Rarely | 1283 | Research & Development | 5 | 5 | Medical | 1 | 1448 | 2 | Male | 90 | 4 | 1 | Research Scientist | 3 | Married | 2127 | 5561 | 2 | Y | Yes | 12 | 3 | 1 | 80 | 0 | 7 | 5 | 2 | 4 | 2 | 0 | 3 |
| 1029 | 0 | 40 | Non-Travel | 663 | Research & Development | 9 | 4 | Other | 1 | 1449 | 3 | Male | 81 | 3 | 2 | Laboratory Technician | 3 | Divorced | 3975 | 23099 | 3 | Y | No | 11 | 3 | 3 | 80 | 2 | 11 | 2 | 4 | 8 | 7 | 0 | 7 |
| 1030 | 0 | 31 | Travel_Rarely | 326 | Sales | 8 | 2 | Life Sciences | 1 | 1453 | 1 | Male | 31 | 3 | 3 | Sales Executive | 4 | Divorced | 10793 | 8386 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 13 | 5 | 3 | 13 | 7 | 9 | 9 |
| 1031 | 1 | 46 | Travel_Rarely | 377 | Sales | 9 | 3 | Marketing | 1 | 1457 | 1 | Male | 52 | 3 | 3 | Sales Executive | 4 | Divorced | 10096 | 15986 | 4 | Y | No | 11 | 3 | 1 | 80 | 1 | 28 | 1 | 4 | 7 | 7 | 4 | 3 |
| 1032 | 1 | 39 | Non-Travel | 592 | Research & Development | 2 | 3 | Life Sciences | 1 | 1458 | 1 | Female | 54 | 2 | 1 | Laboratory Technician | 1 | Single | 3646 | 17181 | 2 | Y | Yes | 23 | 4 | 2 | 80 | 0 | 11 | 2 | 4 | 1 | 0 | 0 | 0 |
| 1033 | 1 | 31 | Travel_Frequently | 1445 | Research & Development | 1 | 5 | Life Sciences | 1 | 1459 | 3 | Female | 100 | 4 | 3 | Manufacturing Director | 2 | Single | 7446 | 8931 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 4 | 7 |
| 1034 | 0 | 45 | Travel_Rarely | 1038 | Research & Development | 20 | 3 | Medical | 1 | 1460 | 2 | Male | 95 | 1 | 3 | Healthcare Representative | 1 | Divorced | 10851 | 19863 | 2 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 24 | 2 | 3 | 7 | 7 | 0 | 7 |
| 1035 | 0 | 31 | Travel_Rarely | 1398 | Human Resources | 8 | 2 | Medical | 1 | 1461 | 4 | Female | 96 | 4 | 1 | Human Resources | 2 | Single | 2109 | 24609 | 9 | Y | No | 18 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 3 | 2 | 0 | 2 |
| 1036 | 1 | 31 | Travel_Frequently | 523 | Research & Development | 2 | 3 | Life Sciences | 1 | 1464 | 2 | Male | 94 | 3 | 1 | Laboratory Technician | 4 | Married | 3722 | 21081 | 6 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 7 | 2 | 1 | 2 | 2 | 2 | 2 |
| 1037 | 0 | 45 | Travel_Rarely | 1448 | Research & Development | 29 | 3 | Technical Degree | 1 | 1465 | 2 | Male | 55 | 3 | 3 | Manufacturing Director | 4 | Married | 9380 | 14720 | 4 | Y | Yes | 18 | 3 | 4 | 80 | 2 | 10 | 4 | 4 | 3 | 1 | 1 | 2 |
| 1038 | 0 | 48 | Travel_Rarely | 1221 | Sales | 7 | 3 | Marketing | 1 | 1466 | 3 | Male | 96 | 3 | 2 | Sales Executive | 1 | Divorced | 5486 | 24795 | 4 | Y | No | 11 | 3 | 1 | 80 | 3 | 15 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1039 | 1 | 34 | Travel_Rarely | 1107 | Human Resources | 9 | 4 | Technical Degree | 1 | 1467 | 1 | Female | 52 | 3 | 1 | Human Resources | 3 | Married | 2742 | 3072 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 2 | 0 | 3 | 2 | 2 | 2 | 2 |
| 1040 | 0 | 40 | Non-Travel | 218 | Research & Development | 8 | 1 | Medical | 1 | 1468 | 4 | Male | 55 | 2 | 3 | Research Director | 2 | Divorced | 13757 | 25178 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 16 | 5 | 3 | 9 | 8 | 4 | 8 |
| 1041 | 0 | 28 | Travel_Rarely | 866 | Sales | 5 | 3 | Medical | 1 | 1469 | 4 | Male | 84 | 3 | 2 | Sales Executive | 1 | Single | 8463 | 23490 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 6 | 4 | 3 | 5 | 4 | 1 | 3 |
| 1042 | 0 | 44 | Non-Travel | 981 | Research & Development | 5 | 3 | Life Sciences | 1 | 1471 | 3 | Male | 90 | 2 | 1 | Laboratory Technician | 3 | Single | 3162 | 7973 | 3 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 5 | 3 | 5 | 2 | 0 | 3 |
| 1043 | 0 | 53 | Travel_Rarely | 447 | Research & Development | 2 | 3 | Medical | 1 | 1472 | 4 | Male | 39 | 4 | 4 | Research Director | 2 | Single | 16598 | 19764 | 4 | Y | No | 12 | 3 | 2 | 80 | 0 | 35 | 2 | 2 | 9 | 8 | 8 | 8 |
| 1044 | 0 | 49 | Travel_Rarely | 1495 | Research & Development | 5 | 4 | Technical Degree | 1 | 1473 | 1 | Male | 96 | 3 | 2 | Healthcare Representative | 3 | Married | 6651 | 21534 | 2 | Y | No | 14 | 3 | 2 | 80 | 1 | 20 | 0 | 2 | 3 | 2 | 1 | 2 |
| 1045 | 0 | 40 | Travel_Rarely | 896 | Research & Development | 2 | 3 | Medical | 1 | 1474 | 3 | Male | 68 | 3 | 1 | Research Scientist | 3 | Divorced | 2345 | 8045 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 8 | 3 | 4 | 3 | 1 | 1 | 2 |
| 1046 | 0 | 44 | Travel_Rarely | 1467 | Research & Development | 20 | 3 | Life Sciences | 1 | 1475 | 4 | Male | 49 | 3 | 1 | Research Scientist | 2 | Single | 3420 | 21158 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 5 | 2 | 1 | 3 |
| 1047 | 0 | 33 | Travel_Frequently | 430 | Sales | 7 | 3 | Medical | 1 | 1477 | 4 | Male | 54 | 3 | 2 | Sales Executive | 1 | Married | 4373 | 17456 | 0 | Y | No | 14 | 3 | 1 | 80 | 2 | 5 | 2 | 3 | 4 | 3 | 0 | 3 |
| 1048 | 0 | 34 | Travel_Rarely | 1326 | Sales | 3 | 3 | Other | 1 | 1478 | 4 | Male | 81 | 1 | 2 | Sales Executive | 1 | Single | 4759 | 15891 | 3 | Y | No | 18 | 3 | 4 | 80 | 0 | 15 | 2 | 3 | 13 | 9 | 3 | 12 |
| 1049 | 0 | 30 | Travel_Rarely | 1358 | Sales | 16 | 1 | Life Sciences | 1 | 1479 | 4 | Male | 96 | 3 | 2 | Sales Executive | 3 | Married | 5301 | 2939 | 8 | Y | No | 15 | 3 | 3 | 80 | 2 | 4 | 2 | 2 | 2 | 1 | 2 | 2 |
| 1050 | 0 | 42 | Travel_Frequently | 748 | Research & Development | 9 | 2 | Medical | 1 | 1480 | 1 | Female | 74 | 3 | 1 | Laboratory Technician | 4 | Single | 3673 | 16458 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 3 | 3 | 12 | 9 | 5 | 8 |
| 1051 | 0 | 44 | Travel_Frequently | 383 | Sales | 1 | 5 | Marketing | 1 | 1481 | 1 | Female | 79 | 3 | 2 | Sales Executive | 3 | Married | 4768 | 9282 | 7 | Y | No | 12 | 3 | 3 | 80 | 1 | 11 | 4 | 2 | 1 | 0 | 0 | 0 |
| 1052 | 0 | 30 | Non-Travel | 990 | Research & Development | 7 | 3 | Technical Degree | 1 | 1482 | 3 | Male | 64 | 3 | 1 | Research Scientist | 3 | Divorced | 1274 | 7152 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 1 | 2 | 2 | 1 | 0 | 0 | 0 |
| 1053 | 0 | 57 | Travel_Rarely | 405 | Research & Development | 1 | 2 | Life Sciences | 1 | 1483 | 2 | Male | 93 | 4 | 2 | Research Scientist | 3 | Married | 4900 | 2721 | 0 | Y | No | 24 | 4 | 1 | 80 | 1 | 13 | 2 | 2 | 12 | 9 | 2 | 8 |
| 1054 | 0 | 49 | Travel_Rarely | 1490 | Research & Development | 7 | 4 | Life Sciences | 1 | 1484 | 3 | Male | 35 | 3 | 3 | Healthcare Representative | 2 | Divorced | 10466 | 20948 | 3 | Y | No | 14 | 3 | 2 | 80 | 2 | 29 | 3 | 3 | 8 | 7 | 0 | 7 |
| 1055 | 0 | 34 | Travel_Frequently | 829 | Research & Development | 15 | 3 | Medical | 1 | 1485 | 2 | Male | 71 | 3 | 4 | Research Director | 1 | Divorced | 17007 | 11929 | 7 | Y | No | 14 | 3 | 4 | 80 | 2 | 16 | 3 | 2 | 14 | 8 | 6 | 9 |
| 1056 | 1 | 28 | Travel_Frequently | 1496 | Sales | 1 | 3 | Technical Degree | 1 | 1486 | 1 | Male | 92 | 3 | 1 | Sales Representative | 3 | Married | 2909 | 15747 | 3 | Y | No | 15 | 3 | 4 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 1 | 2 |
| 1057 | 1 | 29 | Travel_Frequently | 115 | Sales | 13 | 3 | Technical Degree | 1 | 1487 | 1 | Female | 51 | 3 | 2 | Sales Executive | 2 | Single | 5765 | 17485 | 5 | Y | No | 11 | 3 | 1 | 80 | 0 | 7 | 4 | 1 | 5 | 3 | 0 | 0 |
| 1058 | 1 | 34 | Travel_Rarely | 790 | Sales | 24 | 4 | Medical | 1 | 1489 | 1 | Female | 40 | 2 | 2 | Sales Executive | 2 | Single | 4599 | 7815 | 0 | Y | Yes | 23 | 4 | 3 | 80 | 0 | 16 | 2 | 4 | 15 | 9 | 10 | 10 |
| 1059 | 0 | 35 | Travel_Rarely | 660 | Sales | 7 | 1 | Life Sciences | 1 | 1492 | 4 | Male | 76 | 3 | 1 | Sales Representative | 3 | Married | 2404 | 16192 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1060 | 1 | 24 | Travel_Frequently | 381 | Research & Development | 9 | 3 | Medical | 1 | 1494 | 2 | Male | 89 | 3 | 1 | Laboratory Technician | 1 | Single | 3172 | 16998 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 |
| 1061 | 0 | 24 | Non-Travel | 830 | Sales | 13 | 2 | Life Sciences | 1 | 1495 | 4 | Female | 78 | 3 | 1 | Sales Representative | 2 | Married | 2033 | 7103 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1062 | 0 | 44 | Travel_Frequently | 1193 | Research & Development | 2 | 1 | Medical | 1 | 1496 | 2 | Male | 86 | 3 | 3 | Manufacturing Director | 3 | Single | 10209 | 19719 | 5 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 16 | 2 | 2 | 2 | 2 | 2 | 2 |
| 1063 | 0 | 29 | Travel_Rarely | 1246 | Sales | 19 | 3 | Life Sciences | 1 | 1497 | 3 | Male | 77 | 2 | 2 | Sales Executive | 3 | Divorced | 8620 | 23757 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 10 | 3 | 3 | 10 | 7 | 0 | 4 |
| 1064 | 0 | 30 | Travel_Rarely | 330 | Human Resources | 1 | 3 | Life Sciences | 1 | 1499 | 3 | Male | 46 | 3 | 1 | Human Resources | 3 | Divorced | 2064 | 15428 | 0 | Y | No | 21 | 4 | 1 | 80 | 1 | 6 | 3 | 4 | 5 | 3 | 1 | 3 |
| 1065 | 0 | 55 | Travel_Rarely | 1229 | Research & Development | 4 | 4 | Life Sciences | 1 | 1501 | 4 | Male | 30 | 3 | 2 | Healthcare Representative | 3 | Married | 4035 | 16143 | 0 | Y | Yes | 16 | 3 | 2 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 1 | 2 |
| 1066 | 0 | 33 | Travel_Rarely | 1099 | Research & Development | 4 | 4 | Medical | 1 | 1502 | 1 | Female | 82 | 2 | 1 | Laboratory Technician | 2 | Married | 3838 | 8192 | 8 | Y | No | 11 | 3 | 4 | 80 | 0 | 8 | 5 | 3 | 5 | 4 | 0 | 2 |
| 1067 | 0 | 47 | Travel_Rarely | 571 | Sales | 14 | 3 | Medical | 1 | 1503 | 3 | Female | 78 | 3 | 2 | Sales Executive | 3 | Married | 4591 | 24200 | 3 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 11 | 4 | 2 | 5 | 4 | 1 | 2 |
| 1068 | 1 | 28 | Travel_Frequently | 289 | Research & Development | 2 | 2 | Medical | 1 | 1504 | 3 | Male | 38 | 2 | 1 | Laboratory Technician | 1 | Single | 2561 | 5355 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 2 | 0 | 0 | 0 | 0 |
| 1069 | 0 | 28 | Travel_Rarely | 1423 | Research & Development | 1 | 3 | Life Sciences | 1 | 1506 | 1 | Male | 72 | 2 | 1 | Research Scientist | 3 | Divorced | 1563 | 12530 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 0 |
| 1070 | 0 | 28 | Travel_Frequently | 467 | Sales | 7 | 3 | Life Sciences | 1 | 1507 | 3 | Male | 55 | 3 | 2 | Sales Executive | 1 | Single | 4898 | 11827 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 5 | 5 | 3 | 4 | 2 | 1 | 3 |
| 1071 | 0 | 49 | Travel_Rarely | 271 | Research & Development | 3 | 2 | Medical | 1 | 1509 | 3 | Female | 43 | 2 | 2 | Laboratory Technician | 1 | Married | 4789 | 23070 | 4 | Y | No | 25 | 4 | 1 | 80 | 1 | 10 | 3 | 3 | 3 | 2 | 1 | 2 |
| 1072 | 0 | 29 | Travel_Frequently | 410 | Research & Development | 2 | 1 | Life Sciences | 1 | 1513 | 4 | Female | 97 | 3 | 1 | Laboratory Technician | 2 | Married | 3180 | 4668 | 0 | Y | No | 13 | 3 | 3 | 80 | 3 | 4 | 3 | 3 | 3 | 2 | 0 | 2 |
| 1073 | 0 | 28 | Travel_Rarely | 1083 | Research & Development | 29 | 1 | Life Sciences | 1 | 1514 | 3 | Male | 96 | 1 | 2 | Manufacturing Director | 2 | Married | 6549 | 3173 | 1 | Y | No | 14 | 3 | 2 | 80 | 2 | 8 | 2 | 2 | 8 | 6 | 1 | 7 |
| 1074 | 0 | 33 | Travel_Rarely | 516 | Research & Development | 8 | 5 | Life Sciences | 1 | 1515 | 4 | Male | 69 | 3 | 2 | Healthcare Representative | 3 | Single | 6388 | 22049 | 2 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 14 | 6 | 3 | 0 | 0 | 0 | 0 |
| 1075 | 0 | 32 | Travel_Rarely | 495 | Research & Development | 10 | 3 | Medical | 1 | 1516 | 3 | Male | 64 | 3 | 3 | Manager | 4 | Single | 11244 | 21072 | 2 | Y | No | 25 | 4 | 2 | 80 | 0 | 10 | 5 | 4 | 5 | 2 | 0 | 0 |
| 1076 | 0 | 54 | Travel_Frequently | 1050 | Research & Development | 11 | 4 | Medical | 1 | 1520 | 2 | Female | 87 | 3 | 4 | Manager | 4 | Divorced | 16032 | 24456 | 3 | Y | No | 20 | 4 | 1 | 80 | 1 | 26 | 2 | 3 | 14 | 9 | 1 | 12 |
| 1077 | 1 | 29 | Travel_Rarely | 224 | Research & Development | 1 | 4 | Technical Degree | 1 | 1522 | 1 | Male | 100 | 2 | 1 | Research Scientist | 1 | Single | 2362 | 7568 | 6 | Y | No | 13 | 3 | 3 | 80 | 0 | 11 | 2 | 1 | 9 | 7 | 0 | 7 |
| 1078 | 0 | 44 | Travel_Rarely | 136 | Research & Development | 28 | 3 | Life Sciences | 1 | 1523 | 4 | Male | 32 | 3 | 4 | Research Director | 1 | Married | 16328 | 22074 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 24 | 1 | 4 | 20 | 6 | 14 | 17 |
| 1079 | 0 | 39 | Travel_Rarely | 1089 | Research & Development | 6 | 3 | Life Sciences | 1 | 1525 | 2 | Female | 32 | 3 | 3 | Manufacturing Director | 2 | Single | 8376 | 9150 | 4 | Y | No | 18 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 2 | 0 | 2 | 2 |
| 1080 | 0 | 46 | Travel_Rarely | 228 | Sales | 3 | 3 | Life Sciences | 1 | 1527 | 3 | Female | 51 | 3 | 4 | Manager | 2 | Married | 16606 | 11380 | 8 | Y | No | 12 | 3 | 4 | 80 | 1 | 23 | 2 | 4 | 13 | 12 | 5 | 1 |
| 1081 | 0 | 35 | Travel_Rarely | 1029 | Research & Development | 16 | 3 | Life Sciences | 1 | 1529 | 4 | Female | 91 | 2 | 3 | Healthcare Representative | 2 | Single | 8606 | 21195 | 1 | Y | No | 19 | 3 | 4 | 80 | 0 | 11 | 3 | 1 | 11 | 8 | 3 | 3 |
| 1082 | 0 | 23 | Travel_Rarely | 507 | Research & Development | 20 | 1 | Life Sciences | 1 | 1533 | 1 | Male | 97 | 3 | 2 | Laboratory Technician | 3 | Single | 2272 | 24812 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 2 | 3 | 4 | 3 | 1 | 2 |
| 1083 | 1 | 40 | Travel_Rarely | 676 | Research & Development | 9 | 4 | Life Sciences | 1 | 1534 | 4 | Male | 86 | 3 | 1 | Laboratory Technician | 1 | Single | 2018 | 21831 | 3 | Y | No | 14 | 3 | 2 | 80 | 0 | 15 | 3 | 1 | 5 | 4 | 1 | 0 |
| 1084 | 0 | 34 | Travel_Rarely | 971 | Sales | 1 | 3 | Technical Degree | 1 | 1535 | 4 | Male | 64 | 2 | 3 | Sales Executive | 3 | Married | 7083 | 12288 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 8 | 6 |
| 1085 | 1 | 31 | Travel_Frequently | 561 | Research & Development | 3 | 3 | Life Sciences | 1 | 1537 | 4 | Female | 33 | 3 | 1 | Research Scientist | 3 | Single | 4084 | 4156 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 7 | 2 | 1 | 7 | 2 | 7 | 7 |
| 1086 | 0 | 50 | Travel_Frequently | 333 | Research & Development | 22 | 5 | Medical | 1 | 1539 | 3 | Male | 88 | 1 | 4 | Research Director | 4 | Single | 14411 | 24450 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 32 | 2 | 3 | 32 | 6 | 13 | 9 |
| 1087 | 0 | 34 | Travel_Rarely | 1440 | Sales | 7 | 2 | Technical Degree | 1 | 1541 | 2 | Male | 55 | 3 | 1 | Sales Representative | 3 | Married | 2308 | 4944 | 0 | Y | Yes | 25 | 4 | 2 | 80 | 1 | 12 | 4 | 3 | 11 | 10 | 5 | 7 |
| 1088 | 0 | 42 | Travel_Rarely | 1210 | Research & Development | 2 | 3 | Medical | 1 | 1542 | 3 | Male | 68 | 2 | 1 | Laboratory Technician | 2 | Married | 4841 | 24052 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 4 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1089 | 0 | 37 | Travel_Rarely | 674 | Research & Development | 13 | 3 | Medical | 1 | 1543 | 1 | Male | 47 | 3 | 2 | Research Scientist | 4 | Married | 4285 | 3031 | 1 | Y | No | 17 | 3 | 1 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 3 | 7 |
| 1090 | 0 | 29 | Travel_Rarely | 441 | Research & Development | 8 | 1 | Other | 1 | 1544 | 3 | Female | 39 | 1 | 2 | Healthcare Representative | 1 | Married | 9715 | 7288 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 9 | 3 | 3 | 7 | 7 | 0 | 7 |
| 1091 | 0 | 33 | Travel_Rarely | 575 | Research & Development | 25 | 3 | Life Sciences | 1 | 1545 | 4 | Male | 44 | 2 | 2 | Manufacturing Director | 2 | Single | 4320 | 24152 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 5 | 3 | 0 | 2 |
| 1092 | 0 | 45 | Travel_Rarely | 950 | Research & Development | 28 | 3 | Technical Degree | 1 | 1546 | 4 | Male | 97 | 3 | 1 | Research Scientist | 4 | Married | 2132 | 4585 | 4 | Y | No | 20 | 4 | 4 | 80 | 1 | 8 | 3 | 3 | 5 | 4 | 0 | 3 |
| 1093 | 0 | 42 | Travel_Frequently | 288 | Research & Development | 2 | 3 | Life Sciences | 1 | 1547 | 4 | Male | 40 | 3 | 3 | Healthcare Representative | 4 | Married | 10124 | 18611 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 24 | 3 | 1 | 20 | 8 | 13 | 9 |
| 1094 | 0 | 40 | Travel_Rarely | 1342 | Sales | 9 | 2 | Medical | 1 | 1548 | 1 | Male | 47 | 3 | 2 | Sales Executive | 1 | Married | 5473 | 19345 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 9 | 5 | 4 | 8 | 4 | 7 | 1 |
| 1095 | 0 | 33 | Travel_Rarely | 589 | Research & Development | 28 | 4 | Life Sciences | 1 | 1549 | 2 | Male | 79 | 3 | 2 | Laboratory Technician | 3 | Married | 5207 | 22949 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 15 | 14 | 5 | 7 |
| 1096 | 0 | 40 | Travel_Rarely | 898 | Human Resources | 6 | 2 | Medical | 1 | 1550 | 3 | Male | 38 | 3 | 4 | Manager | 4 | Single | 16437 | 17381 | 1 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 21 | 2 | 3 | 21 | 7 | 7 | 7 |
| 1097 | 0 | 24 | Travel_Rarely | 350 | Research & Development | 21 | 2 | Technical Degree | 1 | 1551 | 3 | Male | 57 | 2 | 1 | Laboratory Technician | 1 | Divorced | 2296 | 10036 | 0 | Y | No | 14 | 3 | 2 | 80 | 3 | 2 | 3 | 3 | 1 | 1 | 0 | 0 |
| 1098 | 0 | 40 | Non-Travel | 1142 | Research & Development | 8 | 2 | Life Sciences | 1 | 1552 | 4 | Male | 72 | 3 | 2 | Healthcare Representative | 4 | Divorced | 4069 | 8841 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1099 | 0 | 45 | Travel_Rarely | 538 | Research & Development | 1 | 4 | Technical Degree | 1 | 1553 | 1 | Male | 66 | 3 | 3 | Healthcare Representative | 2 | Divorced | 7441 | 20933 | 1 | Y | No | 12 | 3 | 1 | 80 | 3 | 10 | 4 | 3 | 10 | 8 | 7 | 7 |
| 1100 | 0 | 35 | Travel_Rarely | 1402 | Sales | 28 | 4 | Life Sciences | 1 | 1554 | 2 | Female | 98 | 2 | 1 | Sales Representative | 3 | Married | 2430 | 26204 | 0 | Y | No | 23 | 4 | 1 | 80 | 2 | 6 | 5 | 3 | 5 | 3 | 4 | 2 |
| 1101 | 0 | 32 | Travel_Rarely | 824 | Research & Development | 5 | 2 | Life Sciences | 1 | 1555 | 4 | Female | 67 | 2 | 2 | Research Scientist | 2 | Married | 5878 | 15624 | 3 | Y | No | 12 | 3 | 1 | 80 | 1 | 12 | 2 | 3 | 7 | 1 | 2 | 5 |
| 1102 | 0 | 36 | Travel_Rarely | 1157 | Sales | 2 | 4 | Life Sciences | 1 | 1556 | 3 | Male | 70 | 3 | 1 | Sales Representative | 4 | Single | 2644 | 17001 | 3 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 7 | 3 | 2 | 3 | 2 | 1 | 2 |
| 1103 | 0 | 48 | Travel_Rarely | 492 | Sales | 16 | 4 | Life Sciences | 1 | 1557 | 3 | Female | 96 | 3 | 2 | Sales Executive | 3 | Divorced | 6439 | 13693 | 8 | Y | No | 14 | 3 | 3 | 80 | 1 | 18 | 2 | 3 | 8 | 7 | 7 | 7 |
| 1104 | 0 | 29 | Travel_Rarely | 598 | Research & Development | 9 | 3 | Life Sciences | 1 | 1558 | 3 | Male | 91 | 4 | 1 | Research Scientist | 3 | Married | 2451 | 22376 | 6 | Y | No | 18 | 3 | 1 | 80 | 2 | 5 | 2 | 2 | 1 | 0 | 0 | 0 |
| 1105 | 0 | 33 | Travel_Rarely | 1242 | Sales | 8 | 4 | Life Sciences | 1 | 1560 | 1 | Male | 46 | 3 | 2 | Sales Executive | 1 | Married | 6392 | 10589 | 2 | Y | No | 13 | 3 | 4 | 80 | 1 | 8 | 6 | 1 | 2 | 2 | 2 | 2 |
| 1106 | 1 | 30 | Travel_Rarely | 740 | Sales | 1 | 3 | Life Sciences | 1 | 1562 | 2 | Male | 64 | 2 | 2 | Sales Executive | 1 | Married | 9714 | 5323 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 4 | 3 | 10 | 8 | 6 | 7 |
| 1107 | 0 | 38 | Travel_Frequently | 888 | Human Resources | 10 | 4 | Human Resources | 1 | 1563 | 3 | Male | 71 | 3 | 2 | Human Resources | 3 | Married | 6077 | 14814 | 3 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 6 | 3 | 1 | 2 |
| 1108 | 0 | 35 | Travel_Rarely | 992 | Research & Development | 1 | 3 | Medical | 1 | 1564 | 4 | Male | 68 | 2 | 1 | Laboratory Technician | 1 | Single | 2450 | 21731 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 3 | 3 | 3 | 3 | 0 | 1 | 2 |
| 1109 | 0 | 30 | Travel_Rarely | 1288 | Sales | 29 | 4 | Technical Degree | 1 | 1568 | 3 | Male | 33 | 3 | 3 | Sales Executive | 2 | Married | 9250 | 17799 | 3 | Y | No | 12 | 3 | 2 | 80 | 1 | 9 | 3 | 3 | 4 | 2 | 1 | 3 |
| 1110 | 1 | 35 | Travel_Rarely | 104 | Research & Development | 2 | 3 | Life Sciences | 1 | 1569 | 1 | Female | 69 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2074 | 26619 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1111 | 1 | 53 | Travel_Rarely | 607 | Research & Development | 2 | 5 | Technical Degree | 1 | 1572 | 3 | Female | 78 | 2 | 3 | Manufacturing Director | 4 | Married | 10169 | 14618 | 0 | Y | No | 16 | 3 | 2 | 80 | 1 | 34 | 4 | 3 | 33 | 7 | 1 | 9 |
| 1112 | 1 | 38 | Travel_Rarely | 903 | Research & Development | 2 | 3 | Medical | 1 | 1573 | 3 | Male | 81 | 3 | 2 | Manufacturing Director | 2 | Married | 4855 | 7653 | 4 | Y | No | 11 | 3 | 1 | 80 | 2 | 7 | 2 | 3 | 5 | 2 | 1 | 4 |
| 1113 | 0 | 32 | Non-Travel | 1200 | Research & Development | 1 | 4 | Technical Degree | 1 | 1574 | 4 | Male | 62 | 3 | 2 | Research Scientist | 1 | Married | 4087 | 25174 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 6 | 5 | 1 | 2 |
| 1114 | 0 | 48 | Travel_Rarely | 1108 | Research & Development | 15 | 4 | Other | 1 | 1576 | 3 | Female | 65 | 3 | 1 | Research Scientist | 1 | Married | 2367 | 16530 | 8 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 8 | 2 | 7 | 6 |
| 1115 | 0 | 34 | Travel_Rarely | 479 | Research & Development | 7 | 4 | Medical | 1 | 1577 | 1 | Male | 35 | 3 | 1 | Research Scientist | 4 | Single | 2972 | 22061 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 1 | 4 | 1 | 1 | 0 | 0 | 0 |
| 1116 | 0 | 55 | Travel_Rarely | 685 | Sales | 26 | 5 | Marketing | 1 | 1578 | 3 | Male | 60 | 2 | 5 | Manager | 4 | Married | 19586 | 23037 | 1 | Y | No | 21 | 4 | 3 | 80 | 1 | 36 | 3 | 3 | 36 | 6 | 2 | 13 |
| 1117 | 0 | 34 | Travel_Rarely | 1351 | Research & Development | 1 | 4 | Life Sciences | 1 | 1580 | 2 | Male | 45 | 3 | 2 | Research Scientist | 4 | Married | 5484 | 13008 | 9 | Y | No | 17 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 2 | 2 | 2 | 1 |
| 1118 | 0 | 26 | Travel_Rarely | 474 | Research & Development | 3 | 3 | Life Sciences | 1 | 1581 | 1 | Female | 89 | 3 | 1 | Research Scientist | 4 | Married | 2061 | 11133 | 1 | Y | No | 21 | 4 | 1 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 0 | 0 |
| 1119 | 0 | 38 | Travel_Rarely | 1245 | Sales | 14 | 3 | Life Sciences | 1 | 1582 | 3 | Male | 80 | 3 | 2 | Sales Executive | 2 | Married | 9924 | 12355 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 3 | 3 | 9 | 8 | 7 | 7 |
| 1120 | 0 | 38 | Travel_Rarely | 437 | Sales | 16 | 3 | Life Sciences | 1 | 1583 | 2 | Female | 90 | 3 | 2 | Sales Executive | 2 | Single | 4198 | 16379 | 2 | Y | No | 12 | 3 | 2 | 80 | 0 | 8 | 5 | 4 | 3 | 2 | 1 | 2 |
| 1121 | 0 | 36 | Travel_Rarely | 884 | Sales | 1 | 4 | Life Sciences | 1 | 1585 | 2 | Female | 73 | 3 | 2 | Sales Executive | 3 | Single | 6815 | 21447 | 6 | Y | No | 13 | 3 | 1 | 80 | 0 | 15 | 5 | 3 | 1 | 0 | 0 | 0 |
| 1122 | 0 | 29 | Travel_Rarely | 1370 | Research & Development | 3 | 1 | Medical | 1 | 1586 | 2 | Male | 87 | 3 | 1 | Laboratory Technician | 1 | Single | 4723 | 16213 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 1 | 5 |
| 1123 | 0 | 35 | Travel_Rarely | 670 | Research & Development | 10 | 4 | Medical | 1 | 1587 | 1 | Female | 51 | 3 | 2 | Healthcare Representative | 3 | Single | 6142 | 4223 | 3 | Y | Yes | 16 | 3 | 3 | 80 | 0 | 10 | 4 | 3 | 5 | 2 | 0 | 4 |
| 1124 | 0 | 39 | Travel_Rarely | 1462 | Sales | 6 | 3 | Medical | 1 | 1588 | 4 | Male | 38 | 4 | 3 | Sales Executive | 3 | Married | 8237 | 4658 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 11 | 3 | 3 | 7 | 6 | 7 | 6 |
| 1125 | 0 | 29 | Travel_Frequently | 995 | Research & Development | 2 | 1 | Life Sciences | 1 | 1590 | 1 | Male | 87 | 3 | 2 | Healthcare Representative | 4 | Divorced | 8853 | 24483 | 1 | Y | No | 19 | 3 | 4 | 80 | 1 | 6 | 0 | 4 | 6 | 4 | 1 | 3 |
| 1126 | 0 | 50 | Travel_Rarely | 264 | Sales | 9 | 3 | Marketing | 1 | 1591 | 3 | Male | 59 | 3 | 5 | Manager | 3 | Married | 19331 | 19519 | 4 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 27 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1127 | 0 | 23 | Travel_Rarely | 977 | Research & Development | 10 | 3 | Technical Degree | 1 | 1592 | 4 | Male | 45 | 4 | 1 | Research Scientist | 3 | Married | 2073 | 12826 | 2 | Y | No | 16 | 3 | 4 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1128 | 0 | 36 | Travel_Frequently | 1302 | Research & Development | 6 | 4 | Life Sciences | 1 | 1594 | 1 | Male | 80 | 4 | 2 | Laboratory Technician | 1 | Married | 5562 | 19711 | 3 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 9 | 3 | 3 | 3 | 2 | 0 | 2 |
| 1129 | 0 | 42 | Travel_Rarely | 1059 | Research & Development | 9 | 2 | Other | 1 | 1595 | 4 | Male | 93 | 2 | 5 | Manager | 4 | Single | 19613 | 26362 | 8 | Y | No | 22 | 4 | 4 | 80 | 0 | 24 | 2 | 3 | 1 | 0 | 0 | 1 |
| 1130 | 0 | 35 | Travel_Rarely | 750 | Research & Development | 28 | 3 | Life Sciences | 1 | 1596 | 2 | Male | 46 | 4 | 2 | Laboratory Technician | 3 | Married | 3407 | 25348 | 1 | Y | No | 17 | 3 | 4 | 80 | 2 | 10 | 3 | 2 | 10 | 9 | 6 | 8 |
| 1131 | 0 | 34 | Travel_Frequently | 653 | Research & Development | 10 | 4 | Technical Degree | 1 | 1597 | 4 | Male | 92 | 2 | 2 | Healthcare Representative | 3 | Married | 5063 | 15332 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 8 | 3 | 2 | 8 | 2 | 7 | 7 |
| 1132 | 0 | 40 | Travel_Rarely | 118 | Sales | 14 | 2 | Life Sciences | 1 | 1598 | 4 | Female | 84 | 3 | 2 | Sales Executive | 1 | Married | 4639 | 11262 | 1 | Y | No | 15 | 3 | 3 | 80 | 1 | 5 | 2 | 3 | 5 | 4 | 1 | 2 |
| 1133 | 0 | 43 | Travel_Rarely | 990 | Research & Development | 27 | 3 | Technical Degree | 1 | 1599 | 4 | Male | 87 | 4 | 1 | Laboratory Technician | 2 | Divorced | 4876 | 5855 | 5 | Y | No | 12 | 3 | 3 | 80 | 1 | 8 | 0 | 3 | 6 | 4 | 0 | 2 |
| 1134 | 0 | 35 | Travel_Rarely | 1349 | Research & Development | 7 | 2 | Life Sciences | 1 | 1601 | 3 | Male | 63 | 2 | 1 | Laboratory Technician | 4 | Married | 2690 | 7713 | 1 | Y | No | 18 | 3 | 4 | 80 | 1 | 1 | 5 | 2 | 1 | 0 | 0 | 1 |
| 1135 | 0 | 46 | Travel_Rarely | 563 | Sales | 1 | 4 | Life Sciences | 1 | 1602 | 4 | Male | 56 | 4 | 4 | Manager | 1 | Single | 17567 | 3156 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 27 | 5 | 1 | 26 | 0 | 0 | 12 |
| 1136 | 1 | 28 | Travel_Rarely | 329 | Research & Development | 24 | 3 | Medical | 1 | 1604 | 3 | Male | 51 | 3 | 1 | Laboratory Technician | 2 | Married | 2408 | 7324 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 3 | 1 | 3 | 3 | 1 | 1 | 0 | 0 |
| 1137 | 0 | 22 | Non-Travel | 457 | Research & Development | 26 | 2 | Other | 1 | 1605 | 2 | Female | 85 | 2 | 1 | Research Scientist | 3 | Married | 2814 | 10293 | 1 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 2 | 1 | 3 |
| 1138 | 0 | 50 | Travel_Frequently | 1234 | Research & Development | 20 | 5 | Medical | 1 | 1606 | 2 | Male | 41 | 3 | 4 | Healthcare Representative | 3 | Married | 11245 | 20689 | 2 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 32 | 3 | 3 | 30 | 8 | 12 | 13 |
| 1139 | 0 | 32 | Travel_Rarely | 634 | Research & Development | 5 | 4 | Other | 1 | 1607 | 2 | Female | 35 | 4 | 1 | Research Scientist | 4 | Married | 3312 | 18783 | 3 | Y | No | 17 | 3 | 4 | 80 | 2 | 6 | 3 | 3 | 3 | 2 | 0 | 2 |
| 1140 | 0 | 44 | Travel_Rarely | 1313 | Research & Development | 7 | 3 | Medical | 1 | 1608 | 2 | Female | 31 | 3 | 5 | Research Director | 4 | Divorced | 19049 | 3549 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 23 | 4 | 2 | 22 | 7 | 1 | 10 |
| 1141 | 0 | 30 | Travel_Rarely | 241 | Research & Development | 7 | 3 | Medical | 1 | 1609 | 2 | Male | 48 | 2 | 1 | Research Scientist | 2 | Married | 2141 | 5348 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 6 | 3 | 2 | 6 | 4 | 1 | 1 |
| 1142 | 0 | 45 | Travel_Rarely | 1015 | Research & Development | 5 | 5 | Medical | 1 | 1611 | 3 | Female | 50 | 1 | 2 | Laboratory Technician | 1 | Single | 5769 | 23447 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 10 | 7 | 1 | 4 |
| 1143 | 0 | 45 | Non-Travel | 336 | Sales | 26 | 3 | Marketing | 1 | 1612 | 1 | Male | 52 | 2 | 2 | Sales Executive | 1 | Married | 4385 | 24162 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 4 | 5 |
| 1144 | 0 | 31 | Travel_Frequently | 715 | Sales | 2 | 4 | Other | 1 | 1613 | 4 | Male | 54 | 3 | 2 | Sales Executive | 1 | Single | 5332 | 21602 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 5 | 2 | 0 | 3 |
| 1145 | 0 | 36 | Travel_Rarely | 559 | Research & Development | 12 | 4 | Life Sciences | 1 | 1614 | 3 | Female | 76 | 3 | 2 | Manufacturing Director | 3 | Married | 4663 | 12421 | 9 | Y | Yes | 12 | 3 | 2 | 80 | 2 | 7 | 2 | 3 | 3 | 2 | 1 | 1 |
| 1146 | 0 | 34 | Travel_Frequently | 426 | Research & Development | 10 | 4 | Life Sciences | 1 | 1615 | 3 | Male | 42 | 4 | 2 | Manufacturing Director | 4 | Divorced | 4724 | 17000 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 9 | 3 | 3 | 9 | 7 | 7 | 2 |
| 1147 | 0 | 49 | Travel_Rarely | 722 | Research & Development | 25 | 4 | Life Sciences | 1 | 1617 | 3 | Female | 84 | 3 | 1 | Laboratory Technician | 1 | Married | 3211 | 22102 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 9 | 6 | 1 | 4 |
| 1148 | 0 | 39 | Travel_Rarely | 1387 | Research & Development | 10 | 5 | Medical | 1 | 1618 | 2 | Male | 76 | 3 | 2 | Manufacturing Director | 1 | Married | 5377 | 3835 | 2 | Y | No | 13 | 3 | 4 | 80 | 3 | 10 | 3 | 3 | 7 | 7 | 7 | 7 |
| 1149 | 0 | 27 | Travel_Rarely | 1302 | Research & Development | 19 | 3 | Other | 1 | 1619 | 4 | Male | 67 | 2 | 1 | Laboratory Technician | 1 | Divorced | 4066 | 16290 | 1 | Y | No | 11 | 3 | 1 | 80 | 2 | 7 | 3 | 3 | 7 | 7 | 0 | 7 |
| 1150 | 0 | 35 | Travel_Rarely | 819 | Research & Development | 18 | 5 | Life Sciences | 1 | 1621 | 2 | Male | 48 | 4 | 2 | Research Scientist | 1 | Married | 5208 | 26312 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 16 | 2 | 3 | 16 | 15 | 1 | 10 |
| 1151 | 0 | 28 | Travel_Rarely | 580 | Research & Development | 27 | 3 | Medical | 1 | 1622 | 2 | Female | 39 | 1 | 2 | Manufacturing Director | 1 | Divorced | 4877 | 20460 | 0 | Y | No | 21 | 4 | 2 | 80 | 1 | 6 | 5 | 2 | 5 | 3 | 0 | 0 |
| 1152 | 0 | 21 | Travel_Rarely | 546 | Research & Development | 5 | 1 | Medical | 1 | 1623 | 3 | Male | 97 | 3 | 1 | Research Scientist | 4 | Single | 3117 | 26009 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1153 | 1 | 18 | Travel_Frequently | 544 | Sales | 3 | 2 | Medical | 1 | 1624 | 2 | Female | 70 | 3 | 1 | Sales Representative | 4 | Single | 1569 | 18420 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 0 | 2 | 4 | 0 | 0 | 0 | 0 |
| 1154 | 0 | 47 | Travel_Rarely | 1176 | Human Resources | 26 | 4 | Life Sciences | 1 | 1625 | 4 | Female | 98 | 3 | 5 | Manager | 3 | Married | 19658 | 5220 | 3 | Y | No | 11 | 3 | 3 | 80 | 1 | 27 | 2 | 3 | 5 | 2 | 1 | 0 |
| 1155 | 0 | 39 | Travel_Rarely | 170 | Research & Development | 3 | 2 | Medical | 1 | 1627 | 3 | Male | 76 | 2 | 2 | Laboratory Technician | 3 | Divorced | 3069 | 10302 | 0 | Y | No | 15 | 3 | 4 | 80 | 1 | 11 | 3 | 3 | 10 | 8 | 0 | 7 |
| 1156 | 0 | 40 | Travel_Rarely | 884 | Research & Development | 15 | 3 | Life Sciences | 1 | 1628 | 1 | Female | 80 | 2 | 3 | Manufacturing Director | 3 | Married | 10435 | 25800 | 1 | Y | No | 13 | 3 | 4 | 80 | 2 | 18 | 2 | 3 | 18 | 15 | 14 | 12 |
| 1157 | 0 | 35 | Non-Travel | 208 | Research & Development | 8 | 4 | Life Sciences | 1 | 1630 | 3 | Female | 52 | 3 | 2 | Healthcare Representative | 3 | Married | 4148 | 12250 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 15 | 5 | 3 | 14 | 11 | 2 | 9 |
| 1158 | 0 | 37 | Travel_Rarely | 671 | Research & Development | 19 | 3 | Life Sciences | 1 | 1631 | 3 | Male | 85 | 3 | 2 | Manufacturing Director | 3 | Married | 5768 | 26493 | 3 | Y | No | 17 | 3 | 1 | 80 | 3 | 9 | 2 | 2 | 4 | 3 | 0 | 2 |
| 1159 | 0 | 39 | Travel_Frequently | 711 | Research & Development | 4 | 3 | Medical | 1 | 1633 | 1 | Female | 81 | 3 | 2 | Manufacturing Director | 3 | Single | 5042 | 3140 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 2 | 1 | 9 | 2 | 3 | 8 |
| 1160 | 0 | 45 | Travel_Rarely | 1329 | Research & Development | 2 | 2 | Other | 1 | 1635 | 4 | Female | 59 | 2 | 2 | Manufacturing Director | 4 | Divorced | 5770 | 5388 | 1 | Y | No | 19 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 10 | 7 | 3 | 9 |
| 1161 | 0 | 38 | Travel_Rarely | 397 | Research & Development | 2 | 2 | Medical | 1 | 1638 | 4 | Female | 54 | 2 | 3 | Manufacturing Director | 3 | Married | 7756 | 14199 | 3 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 10 | 6 | 4 | 5 | 4 | 0 | 2 |
| 1162 | 1 | 35 | Travel_Rarely | 737 | Sales | 10 | 3 | Medical | 1 | 1639 | 4 | Male | 55 | 2 | 3 | Sales Executive | 1 | Married | 10306 | 21530 | 9 | Y | No | 17 | 3 | 3 | 80 | 0 | 15 | 3 | 3 | 13 | 12 | 6 | 0 |
| 1163 | 0 | 37 | Travel_Rarely | 1470 | Research & Development | 10 | 3 | Medical | 1 | 1640 | 2 | Female | 71 | 3 | 1 | Research Scientist | 2 | Married | 3936 | 9953 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 8 | 2 | 1 | 8 | 4 | 7 | 7 |
| 1164 | 0 | 40 | Travel_Rarely | 448 | Research & Development | 16 | 3 | Life Sciences | 1 | 1641 | 3 | Female | 84 | 3 | 3 | Manufacturing Director | 4 | Single | 7945 | 19948 | 6 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 18 | 2 | 2 | 4 | 2 | 3 | 3 |
| 1165 | 0 | 44 | Travel_Frequently | 602 | Human Resources | 1 | 5 | Human Resources | 1 | 1642 | 1 | Male | 37 | 3 | 2 | Human Resources | 4 | Married | 5743 | 10503 | 4 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 14 | 3 | 3 | 10 | 7 | 0 | 2 |
| 1166 | 0 | 48 | Travel_Frequently | 365 | Research & Development | 4 | 5 | Medical | 1 | 1644 | 3 | Male | 89 | 2 | 4 | Manager | 4 | Married | 15202 | 5602 | 2 | Y | No | 25 | 4 | 2 | 80 | 1 | 23 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1167 | 1 | 35 | Travel_Rarely | 763 | Sales | 15 | 2 | Medical | 1 | 1645 | 1 | Male | 59 | 1 | 2 | Sales Executive | 4 | Divorced | 5440 | 22098 | 6 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 7 | 2 | 2 | 2 | 2 | 2 | 2 |
| 1168 | 0 | 24 | Travel_Frequently | 567 | Research & Development | 2 | 1 | Technical Degree | 1 | 1646 | 1 | Female | 32 | 3 | 1 | Research Scientist | 4 | Single | 3760 | 17218 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 6 | 3 | 1 | 3 |
| 1169 | 0 | 27 | Travel_Rarely | 486 | Research & Development | 8 | 3 | Medical | 1 | 1647 | 2 | Female | 86 | 4 | 1 | Research Scientist | 3 | Married | 3517 | 22490 | 7 | Y | No | 17 | 3 | 1 | 80 | 0 | 5 | 0 | 3 | 3 | 2 | 0 | 2 |
| 1170 | 0 | 27 | Travel_Frequently | 591 | Research & Development | 2 | 3 | Medical | 1 | 1648 | 4 | Male | 87 | 3 | 1 | Research Scientist | 4 | Single | 2580 | 6297 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 0 | 2 | 4 | 2 | 1 | 2 |
| 1171 | 1 | 40 | Travel_Rarely | 1329 | Research & Development | 7 | 3 | Life Sciences | 1 | 1649 | 1 | Male | 73 | 3 | 1 | Laboratory Technician | 1 | Single | 2166 | 3339 | 3 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 10 | 3 | 1 | 4 | 2 | 0 | 3 |
| 1172 | 0 | 29 | Travel_Rarely | 469 | Sales | 10 | 3 | Medical | 1 | 1650 | 3 | Male | 42 | 2 | 2 | Sales Executive | 3 | Single | 5869 | 23413 | 9 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 5 | 2 | 1 | 4 |
| 1173 | 0 | 36 | Travel_Rarely | 711 | Research & Development | 5 | 4 | Life Sciences | 1 | 1651 | 2 | Female | 42 | 3 | 3 | Healthcare Representative | 1 | Married | 8008 | 22792 | 4 | Y | No | 12 | 3 | 3 | 80 | 2 | 9 | 6 | 3 | 3 | 2 | 0 | 2 |
| 1174 | 0 | 25 | Travel_Frequently | 772 | Research & Development | 2 | 1 | Life Sciences | 1 | 1653 | 4 | Male | 77 | 4 | 2 | Manufacturing Director | 3 | Divorced | 5206 | 4973 | 1 | Y | No | 17 | 3 | 3 | 80 | 2 | 7 | 6 | 3 | 7 | 7 | 0 | 7 |
| 1175 | 0 | 39 | Travel_Rarely | 492 | Research & Development | 12 | 3 | Medical | 1 | 1654 | 4 | Male | 66 | 3 | 2 | Manufacturing Director | 2 | Married | 5295 | 7693 | 4 | Y | No | 21 | 4 | 3 | 80 | 0 | 7 | 3 | 3 | 5 | 4 | 1 | 0 |
| 1176 | 0 | 49 | Travel_Rarely | 301 | Research & Development | 22 | 4 | Other | 1 | 1655 | 1 | Female | 72 | 3 | 4 | Research Director | 2 | Married | 16413 | 3498 | 3 | Y | No | 16 | 3 | 2 | 80 | 2 | 27 | 2 | 3 | 4 | 2 | 1 | 2 |
| 1177 | 0 | 50 | Travel_Rarely | 813 | Research & Development | 17 | 5 | Life Sciences | 1 | 1656 | 4 | Female | 50 | 2 | 3 | Research Director | 1 | Divorced | 13269 | 21981 | 5 | Y | No | 15 | 3 | 3 | 80 | 3 | 19 | 3 | 3 | 14 | 11 | 1 | 11 |
| 1178 | 0 | 20 | Travel_Rarely | 1141 | Sales | 2 | 3 | Medical | 1 | 1657 | 3 | Female | 31 | 3 | 1 | Sales Representative | 3 | Single | 2783 | 13251 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1179 | 0 | 34 | Travel_Rarely | 1130 | Research & Development | 3 | 3 | Life Sciences | 1 | 1658 | 4 | Female | 66 | 3 | 2 | Research Scientist | 2 | Divorced | 5433 | 19332 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 11 | 2 | 3 | 11 | 8 | 7 | 9 |
| 1180 | 0 | 36 | Travel_Rarely | 311 | Research & Development | 7 | 3 | Life Sciences | 1 | 1659 | 1 | Male | 77 | 3 | 1 | Laboratory Technician | 2 | Single | 2013 | 10950 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 4 | 3 | 4 | 3 | 1 | 3 |
| 1181 | 0 | 49 | Travel_Rarely | 465 | Research & Development | 6 | 1 | Life Sciences | 1 | 1661 | 3 | Female | 41 | 2 | 4 | Healthcare Representative | 3 | Married | 13966 | 11652 | 2 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 30 | 3 | 3 | 15 | 11 | 2 | 12 |
| 1182 | 0 | 36 | Non-Travel | 894 | Research & Development | 1 | 4 | Medical | 1 | 1662 | 4 | Female | 33 | 2 | 2 | Manufacturing Director | 3 | Married | 4374 | 15411 | 0 | Y | No | 15 | 3 | 3 | 80 | 0 | 4 | 6 | 3 | 3 | 2 | 1 | 2 |
| 1183 | 0 | 36 | Travel_Rarely | 1040 | Research & Development | 3 | 2 | Life Sciences | 1 | 1664 | 4 | Male | 79 | 4 | 2 | Healthcare Representative | 1 | Divorced | 6842 | 26308 | 6 | Y | No | 20 | 4 | 1 | 80 | 1 | 13 | 3 | 3 | 5 | 4 | 0 | 4 |
| 1184 | 0 | 54 | Travel_Rarely | 584 | Research & Development | 22 | 5 | Medical | 1 | 1665 | 2 | Female | 91 | 3 | 4 | Manager | 3 | Married | 17426 | 18685 | 3 | Y | No | 25 | 4 | 3 | 80 | 1 | 36 | 6 | 3 | 10 | 8 | 4 | 7 |
| 1185 | 0 | 43 | Travel_Rarely | 1291 | Research & Development | 15 | 2 | Life Sciences | 1 | 1666 | 3 | Male | 65 | 2 | 4 | Research Director | 3 | Married | 17603 | 3525 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 14 | 3 | 3 | 14 | 10 | 6 | 11 |
| 1186 | 1 | 35 | Travel_Frequently | 880 | Sales | 12 | 4 | Other | 1 | 1667 | 4 | Male | 36 | 3 | 2 | Sales Executive | 4 | Single | 4581 | 10414 | 3 | Y | Yes | 24 | 4 | 1 | 80 | 0 | 13 | 2 | 4 | 11 | 9 | 6 | 7 |
| 1187 | 0 | 38 | Travel_Frequently | 1189 | Research & Development | 1 | 3 | Life Sciences | 1 | 1668 | 4 | Male | 90 | 3 | 2 | Research Scientist | 4 | Married | 4735 | 9867 | 7 | Y | No | 15 | 3 | 4 | 80 | 2 | 19 | 4 | 4 | 13 | 11 | 2 | 9 |
| 1188 | 0 | 29 | Travel_Rarely | 991 | Sales | 5 | 3 | Medical | 1 | 1669 | 1 | Male | 43 | 2 | 2 | Sales Executive | 2 | Divorced | 4187 | 3356 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 10 | 0 | 0 | 9 |
| 1189 | 0 | 33 | Travel_Rarely | 392 | Sales | 2 | 4 | Medical | 1 | 1670 | 4 | Male | 93 | 3 | 2 | Sales Executive | 4 | Divorced | 5505 | 3921 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 6 | 5 | 3 | 6 | 2 | 0 | 4 |
| 1190 | 0 | 32 | Travel_Rarely | 977 | Research & Development | 2 | 3 | Medical | 1 | 1671 | 4 | Male | 45 | 3 | 2 | Research Scientist | 2 | Divorced | 5470 | 25518 | 0 | Y | No | 13 | 3 | 3 | 80 | 2 | 10 | 4 | 2 | 9 | 5 | 1 | 6 |
| 1191 | 0 | 31 | Travel_Rarely | 1112 | Sales | 5 | 4 | Life Sciences | 1 | 1673 | 1 | Female | 67 | 3 | 2 | Sales Executive | 4 | Married | 5476 | 22589 | 1 | Y | No | 11 | 3 | 1 | 80 | 2 | 10 | 2 | 3 | 10 | 0 | 0 | 2 |
| 1192 | 0 | 49 | Travel_Rarely | 464 | Research & Development | 16 | 3 | Medical | 1 | 1674 | 4 | Female | 74 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2587 | 24941 | 4 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 17 | 2 | 2 | 2 | 2 | 2 | 2 |
| 1193 | 0 | 38 | Travel_Frequently | 148 | Research & Development | 2 | 3 | Medical | 1 | 1675 | 4 | Female | 42 | 2 | 1 | Laboratory Technician | 2 | Single | 2440 | 23826 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 4 | 3 | 3 | 4 | 3 | 3 | 3 |
| 1194 | 0 | 47 | Travel_Rarely | 1225 | Sales | 2 | 4 | Life Sciences | 1 | 1676 | 2 | Female | 47 | 4 | 4 | Manager | 2 | Divorced | 15972 | 21086 | 6 | Y | No | 14 | 3 | 3 | 80 | 3 | 29 | 2 | 3 | 3 | 2 | 1 | 2 |
| 1195 | 0 | 49 | Travel_Rarely | 809 | Research & Development | 1 | 3 | Life Sciences | 1 | 1677 | 3 | Male | 36 | 3 | 4 | Manager | 3 | Single | 15379 | 22384 | 4 | Y | No | 14 | 3 | 1 | 80 | 0 | 23 | 2 | 3 | 8 | 7 | 0 | 0 |
| 1196 | 0 | 41 | Travel_Rarely | 1206 | Sales | 23 | 2 | Life Sciences | 1 | 1678 | 4 | Male | 80 | 3 | 3 | Sales Executive | 3 | Single | 7082 | 11591 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 2 | 0 | 0 | 2 |
| 1197 | 0 | 20 | Travel_Rarely | 727 | Sales | 9 | 1 | Life Sciences | 1 | 1680 | 4 | Male | 54 | 3 | 1 | Sales Representative | 1 | Single | 2728 | 21082 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 |
| 1198 | 0 | 33 | Non-Travel | 530 | Sales | 16 | 3 | Life Sciences | 1 | 1681 | 3 | Female | 36 | 3 | 2 | Sales Executive | 4 | Divorced | 5368 | 16130 | 1 | Y | Yes | 25 | 4 | 3 | 80 | 1 | 7 | 2 | 3 | 6 | 5 | 1 | 2 |
| 1199 | 0 | 36 | Travel_Rarely | 1351 | Research & Development | 26 | 4 | Life Sciences | 1 | 1682 | 1 | Male | 80 | 3 | 2 | Healthcare Representative | 3 | Married | 5347 | 7419 | 6 | Y | No | 14 | 3 | 2 | 80 | 2 | 10 | 2 | 2 | 3 | 2 | 0 | 2 |
| 1200 | 0 | 44 | Travel_Rarely | 528 | Human Resources | 1 | 3 | Life Sciences | 1 | 1683 | 3 | Female | 44 | 3 | 1 | Human Resources | 4 | Divorced | 3195 | 4167 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 3 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1201 | 1 | 23 | Travel_Rarely | 1320 | Research & Development | 8 | 1 | Medical | 1 | 1684 | 4 | Male | 93 | 2 | 1 | Laboratory Technician | 3 | Single | 3989 | 20586 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 5 | 2 | 3 | 5 | 4 | 1 | 2 |
| 1202 | 0 | 38 | Travel_Rarely | 1495 | Research & Development | 4 | 2 | Medical | 1 | 1687 | 4 | Female | 87 | 3 | 1 | Laboratory Technician | 3 | Married | 3306 | 26176 | 7 | Y | No | 19 | 3 | 4 | 80 | 1 | 7 | 5 | 2 | 0 | 0 | 0 | 0 |
| 1203 | 0 | 53 | Travel_Rarely | 1395 | Research & Development | 24 | 4 | Medical | 1 | 1689 | 2 | Male | 48 | 4 | 3 | Healthcare Representative | 4 | Married | 7005 | 3458 | 3 | Y | No | 15 | 3 | 3 | 80 | 0 | 11 | 2 | 3 | 4 | 3 | 1 | 2 |
| 1204 | 1 | 48 | Travel_Frequently | 708 | Sales | 7 | 2 | Medical | 1 | 1691 | 4 | Female | 95 | 3 | 1 | Sales Representative | 3 | Married | 2655 | 11740 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 2 | 19 | 3 | 3 | 9 | 7 | 7 | 7 |
| 1205 | 1 | 32 | Travel_Rarely | 1259 | Research & Development | 2 | 4 | Life Sciences | 1 | 1692 | 4 | Male | 95 | 3 | 1 | Laboratory Technician | 2 | Single | 1393 | 24852 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1206 | 0 | 26 | Non-Travel | 786 | Research & Development | 7 | 3 | Medical | 1 | 1693 | 4 | Male | 76 | 3 | 1 | Laboratory Technician | 4 | Single | 2570 | 11925 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 7 | 5 | 3 | 7 | 7 | 5 | 7 |
| 1207 | 0 | 55 | Travel_Rarely | 1441 | Research & Development | 22 | 3 | Technical Degree | 1 | 1694 | 1 | Male | 94 | 2 | 1 | Research Scientist | 2 | Divorced | 3537 | 23737 | 5 | Y | No | 12 | 3 | 4 | 80 | 1 | 8 | 1 | 3 | 4 | 2 | 1 | 2 |
| 1208 | 0 | 34 | Travel_Rarely | 1157 | Research & Development | 5 | 2 | Medical | 1 | 1696 | 2 | Male | 57 | 2 | 2 | Laboratory Technician | 4 | Married | 3986 | 11912 | 1 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 3 | 4 | 15 | 10 | 4 | 13 |
| 1209 | 0 | 60 | Travel_Rarely | 370 | Research & Development | 1 | 4 | Medical | 1 | 1697 | 3 | Male | 92 | 1 | 3 | Healthcare Representative | 4 | Divorced | 10883 | 20467 | 3 | Y | No | 20 | 4 | 3 | 80 | 1 | 19 | 2 | 4 | 1 | 0 | 0 | 0 |
| 1210 | 0 | 33 | Travel_Rarely | 267 | Research & Development | 21 | 3 | Medical | 1 | 1698 | 2 | Male | 79 | 4 | 1 | Laboratory Technician | 2 | Married | 2028 | 13637 | 1 | Y | No | 18 | 3 | 4 | 80 | 3 | 14 | 6 | 3 | 14 | 11 | 2 | 13 |
| 1211 | 0 | 37 | Travel_Frequently | 1278 | Sales | 1 | 4 | Medical | 1 | 1700 | 3 | Male | 31 | 1 | 2 | Sales Executive | 4 | Divorced | 9525 | 7677 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 6 | 2 | 2 | 6 | 3 | 1 | 3 |
| 1212 | 0 | 34 | Travel_Rarely | 678 | Research & Development | 19 | 3 | Life Sciences | 1 | 1701 | 2 | Female | 35 | 2 | 1 | Research Scientist | 4 | Married | 2929 | 20338 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 8 | 7 |
| 1213 | 1 | 23 | Travel_Rarely | 427 | Sales | 7 | 3 | Life Sciences | 1 | 1702 | 3 | Male | 99 | 3 | 1 | Sales Representative | 4 | Divorced | 2275 | 25103 | 1 | Y | Yes | 21 | 4 | 2 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 0 | 2 |
| 1214 | 0 | 44 | Travel_Rarely | 921 | Research & Development | 2 | 3 | Life Sciences | 1 | 1703 | 3 | Female | 96 | 4 | 3 | Healthcare Representative | 4 | Married | 7879 | 14810 | 1 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 9 | 2 | 3 | 8 | 7 | 6 | 7 |
| 1215 | 0 | 35 | Travel_Frequently | 146 | Research & Development | 2 | 4 | Medical | 1 | 1704 | 1 | Male | 79 | 2 | 1 | Research Scientist | 4 | Single | 4930 | 13970 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 6 | 2 | 4 | 5 | 4 | 1 | 4 |
| 1216 | 0 | 43 | Travel_Rarely | 1179 | Sales | 2 | 3 | Medical | 1 | 1706 | 4 | Male | 73 | 3 | 2 | Sales Executive | 4 | Married | 7847 | 6069 | 1 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 9 | 8 | 8 |
| 1217 | 0 | 24 | Travel_Rarely | 581 | Research & Development | 9 | 3 | Medical | 1 | 1707 | 3 | Male | 62 | 4 | 1 | Research Scientist | 3 | Married | 4401 | 17616 | 1 | Y | No | 16 | 3 | 4 | 80 | 1 | 5 | 1 | 3 | 5 | 3 | 0 | 4 |
| 1218 | 0 | 41 | Travel_Rarely | 918 | Sales | 6 | 3 | Marketing | 1 | 1708 | 4 | Male | 35 | 3 | 3 | Sales Executive | 3 | Single | 9241 | 15869 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 3 | 3 | 10 | 8 | 8 | 7 |
| 1219 | 0 | 29 | Travel_Rarely | 1082 | Research & Development | 9 | 4 | Medical | 1 | 1709 | 4 | Female | 43 | 3 | 1 | Laboratory Technician | 3 | Married | 2974 | 25412 | 9 | Y | No | 17 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 5 | 3 | 1 | 2 |
| 1220 | 0 | 36 | Travel_Rarely | 530 | Sales | 2 | 4 | Life Sciences | 1 | 1710 | 3 | Female | 51 | 3 | 2 | Sales Representative | 4 | Single | 4502 | 7439 | 3 | Y | No | 15 | 3 | 3 | 80 | 0 | 17 | 2 | 2 | 13 | 7 | 6 | 7 |
| 1221 | 0 | 45 | Non-Travel | 1238 | Research & Development | 1 | 1 | Life Sciences | 1 | 1712 | 3 | Male | 74 | 2 | 3 | Healthcare Representative | 3 | Married | 10748 | 3395 | 3 | Y | No | 23 | 4 | 4 | 80 | 1 | 25 | 3 | 2 | 23 | 15 | 14 | 4 |
| 1222 | 1 | 24 | Travel_Rarely | 240 | Human Resources | 22 | 1 | Human Resources | 1 | 1714 | 4 | Male | 58 | 1 | 1 | Human Resources | 3 | Married | 1555 | 11585 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1223 | 1 | 47 | Travel_Frequently | 1093 | Sales | 9 | 3 | Life Sciences | 1 | 1716 | 3 | Male | 82 | 1 | 4 | Sales Executive | 3 | Married | 12936 | 24164 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 25 | 3 | 1 | 23 | 5 | 14 | 10 |
| 1224 | 0 | 26 | Travel_Rarely | 390 | Research & Development | 17 | 4 | Medical | 1 | 1718 | 4 | Male | 62 | 1 | 1 | Laboratory Technician | 3 | Married | 2305 | 6217 | 1 | Y | No | 15 | 3 | 3 | 80 | 3 | 3 | 3 | 4 | 3 | 2 | 0 | 2 |
| 1225 | 0 | 45 | Travel_Rarely | 1005 | Research & Development | 28 | 2 | Technical Degree | 1 | 1719 | 4 | Female | 48 | 2 | 4 | Research Director | 2 | Single | 16704 | 17119 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 21 | 2 | 3 | 21 | 6 | 8 | 6 |
| 1226 | 0 | 32 | Travel_Frequently | 585 | Research & Development | 10 | 3 | Life Sciences | 1 | 1720 | 1 | Male | 56 | 3 | 1 | Research Scientist | 3 | Married | 3433 | 17360 | 6 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 5 | 2 | 1 | 3 |
| 1227 | 0 | 31 | Travel_Rarely | 741 | Research & Development | 2 | 4 | Life Sciences | 1 | 1721 | 2 | Male | 69 | 3 | 1 | Laboratory Technician | 3 | Married | 3477 | 18103 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 6 | 2 | 4 | 5 | 2 | 0 | 3 |
| 1228 | 0 | 41 | Non-Travel | 552 | Human Resources | 4 | 3 | Human Resources | 1 | 1722 | 3 | Male | 60 | 1 | 2 | Human Resources | 2 | Married | 6430 | 20794 | 6 | Y | No | 19 | 3 | 2 | 80 | 1 | 10 | 4 | 3 | 3 | 2 | 1 | 2 |
| 1229 | 0 | 40 | Travel_Rarely | 369 | Research & Development | 8 | 2 | Life Sciences | 1 | 1724 | 2 | Female | 92 | 3 | 2 | Manufacturing Director | 1 | Married | 6516 | 5041 | 2 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 18 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1230 | 0 | 24 | Travel_Rarely | 506 | Research & Development | 29 | 1 | Medical | 1 | 1725 | 2 | Male | 91 | 3 | 1 | Laboratory Technician | 1 | Divorced | 3907 | 3622 | 1 | Y | No | 13 | 3 | 2 | 80 | 3 | 6 | 2 | 4 | 6 | 2 | 1 | 2 |
| 1231 | 0 | 46 | Travel_Rarely | 717 | Research & Development | 13 | 4 | Life Sciences | 1 | 1727 | 3 | Male | 34 | 3 | 2 | Healthcare Representative | 2 | Single | 5562 | 9697 | 6 | Y | No | 14 | 3 | 4 | 80 | 0 | 19 | 3 | 3 | 10 | 7 | 0 | 9 |
| 1232 | 0 | 35 | Travel_Rarely | 1370 | Research & Development | 27 | 4 | Life Sciences | 1 | 1728 | 4 | Male | 49 | 3 | 2 | Manufacturing Director | 3 | Married | 6883 | 5151 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 17 | 3 | 3 | 7 | 7 | 0 | 7 |
| 1233 | 0 | 30 | Travel_Rarely | 793 | Research & Development | 16 | 1 | Life Sciences | 1 | 1729 | 2 | Male | 33 | 3 | 1 | Research Scientist | 4 | Married | 2862 | 3811 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 2 | 2 | 10 | 0 | 0 | 8 |
| 1234 | 0 | 47 | Non-Travel | 543 | Sales | 2 | 4 | Marketing | 1 | 1731 | 3 | Male | 87 | 3 | 2 | Sales Executive | 2 | Married | 4978 | 3536 | 7 | Y | No | 11 | 3 | 4 | 80 | 1 | 4 | 3 | 1 | 1 | 0 | 0 | 0 |
| 1235 | 0 | 46 | Travel_Rarely | 1277 | Sales | 2 | 3 | Life Sciences | 1 | 1732 | 3 | Male | 74 | 3 | 3 | Sales Executive | 4 | Divorced | 10368 | 5596 | 4 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 13 | 5 | 2 | 10 | 6 | 0 | 3 |
| 1236 | 1 | 36 | Travel_Rarely | 1456 | Sales | 13 | 5 | Marketing | 1 | 1733 | 2 | Male | 96 | 2 | 2 | Sales Executive | 1 | Divorced | 6134 | 8658 | 5 | Y | Yes | 13 | 3 | 2 | 80 | 3 | 16 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1237 | 1 | 32 | Travel_Rarely | 964 | Sales | 1 | 2 | Life Sciences | 1 | 1734 | 1 | Male | 34 | 1 | 2 | Sales Executive | 2 | Single | 6735 | 12147 | 6 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 0 | 0 | 0 | 0 |
| 1238 | 0 | 23 | Travel_Rarely | 160 | Research & Development | 4 | 1 | Medical | 1 | 1735 | 3 | Female | 51 | 3 | 1 | Laboratory Technician | 2 | Single | 3295 | 12862 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 3 | 3 | 1 | 3 | 2 | 1 | 2 |
| 1239 | 0 | 31 | Travel_Frequently | 163 | Research & Development | 24 | 1 | Technical Degree | 1 | 1736 | 4 | Female | 30 | 3 | 2 | Manufacturing Director | 4 | Single | 5238 | 6670 | 2 | Y | No | 20 | 4 | 4 | 80 | 0 | 9 | 3 | 2 | 5 | 4 | 1 | 4 |
| 1240 | 0 | 39 | Non-Travel | 792 | Research & Development | 1 | 3 | Life Sciences | 1 | 1737 | 4 | Male | 77 | 3 | 2 | Laboratory Technician | 4 | Married | 6472 | 8989 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 9 | 2 | 3 | 9 | 8 | 5 | 8 |
| 1241 | 0 | 32 | Travel_Rarely | 371 | Sales | 19 | 3 | Life Sciences | 1 | 1739 | 4 | Male | 80 | 1 | 3 | Sales Executive | 3 | Married | 9610 | 3840 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 10 | 2 | 1 | 4 | 3 | 0 | 2 |
| 1242 | 0 | 40 | Travel_Rarely | 611 | Sales | 7 | 4 | Medical | 1 | 1740 | 2 | Male | 88 | 3 | 5 | Manager | 2 | Single | 19833 | 4349 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 21 | 3 | 2 | 21 | 8 | 12 | 8 |
| 1243 | 0 | 45 | Travel_Rarely | 176 | Human Resources | 4 | 3 | Life Sciences | 1 | 1744 | 3 | Female | 56 | 1 | 3 | Human Resources | 3 | Married | 9756 | 6595 | 4 | Y | No | 21 | 4 | 3 | 80 | 2 | 9 | 2 | 4 | 5 | 0 | 0 | 3 |
| 1244 | 0 | 30 | Travel_Frequently | 1312 | Research & Development | 2 | 4 | Technical Degree | 1 | 1745 | 4 | Female | 78 | 2 | 1 | Research Scientist | 1 | Single | 4968 | 26427 | 0 | Y | No | 16 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 9 | 7 | 0 | 7 |
| 1245 | 0 | 24 | Travel_Frequently | 897 | Human Resources | 10 | 3 | Medical | 1 | 1746 | 1 | Male | 59 | 3 | 1 | Human Resources | 4 | Married | 2145 | 2097 | 0 | Y | No | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 2 | 1 |
| 1246 | 1 | 30 | Travel_Frequently | 600 | Human Resources | 8 | 3 | Human Resources | 1 | 1747 | 3 | Female | 66 | 2 | 1 | Human Resources | 4 | Divorced | 2180 | 9732 | 6 | Y | No | 11 | 3 | 3 | 80 | 1 | 6 | 0 | 2 | 4 | 2 | 1 | 2 |
| 1247 | 0 | 31 | Travel_Rarely | 1003 | Sales | 5 | 3 | Technical Degree | 1 | 1749 | 1 | Male | 51 | 3 | 2 | Sales Executive | 3 | Married | 8346 | 20943 | 1 | Y | No | 19 | 3 | 3 | 80 | 1 | 6 | 3 | 3 | 5 | 2 | 0 | 2 |
| 1248 | 0 | 27 | Travel_Rarely | 1054 | Research & Development | 8 | 3 | Medical | 1 | 1751 | 3 | Female | 67 | 3 | 1 | Research Scientist | 4 | Single | 3445 | 6152 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 6 | 5 | 2 | 6 | 2 | 1 | 4 |
| 1249 | 1 | 29 | Travel_Rarely | 428 | Sales | 9 | 3 | Marketing | 1 | 1752 | 2 | Female | 52 | 1 | 1 | Sales Representative | 2 | Single | 2760 | 14630 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1250 | 0 | 29 | Travel_Frequently | 461 | Research & Development | 1 | 3 | Life Sciences | 1 | 1753 | 4 | Male | 70 | 4 | 2 | Healthcare Representative | 3 | Single | 6294 | 23060 | 8 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 10 | 5 | 4 | 3 | 2 | 0 | 2 |
| 1251 | 0 | 30 | Travel_Rarely | 979 | Sales | 15 | 2 | Marketing | 1 | 1754 | 3 | Male | 94 | 2 | 3 | Sales Executive | 1 | Divorced | 7140 | 3088 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 12 | 2 | 3 | 7 | 7 | 1 | 7 |
| 1252 | 0 | 34 | Travel_Rarely | 181 | Research & Development | 2 | 4 | Medical | 1 | 1755 | 4 | Male | 97 | 4 | 1 | Research Scientist | 4 | Married | 2932 | 5586 | 0 | Y | Yes | 14 | 3 | 1 | 80 | 3 | 6 | 3 | 3 | 5 | 0 | 1 | 2 |
| 1253 | 0 | 33 | Non-Travel | 1283 | Sales | 2 | 3 | Marketing | 1 | 1756 | 4 | Female | 62 | 3 | 2 | Sales Executive | 2 | Single | 5147 | 10697 | 8 | Y | No | 15 | 3 | 4 | 80 | 0 | 13 | 2 | 2 | 11 | 7 | 1 | 7 |
| 1254 | 0 | 49 | Travel_Rarely | 1313 | Sales | 11 | 4 | Marketing | 1 | 1757 | 4 | Female | 80 | 3 | 2 | Sales Executive | 4 | Single | 4507 | 8191 | 3 | Y | No | 12 | 3 | 3 | 80 | 0 | 8 | 1 | 4 | 5 | 1 | 0 | 4 |
| 1255 | 1 | 33 | Travel_Rarely | 211 | Sales | 16 | 3 | Life Sciences | 1 | 1758 | 1 | Female | 74 | 3 | 3 | Sales Executive | 1 | Single | 8564 | 10092 | 2 | Y | Yes | 20 | 4 | 3 | 80 | 0 | 11 | 2 | 2 | 0 | 0 | 0 | 0 |
| 1256 | 0 | 38 | Travel_Frequently | 594 | Research & Development | 2 | 2 | Medical | 1 | 1760 | 3 | Female | 75 | 2 | 1 | Laboratory Technician | 2 | Married | 2468 | 15963 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 4 | 2 | 6 | 1 | 0 | 5 |
| 1257 | 1 | 31 | Travel_Rarely | 1079 | Sales | 16 | 4 | Marketing | 1 | 1761 | 1 | Male | 70 | 3 | 3 | Sales Executive | 3 | Married | 8161 | 19002 | 2 | Y | No | 13 | 3 | 1 | 80 | 3 | 10 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1258 | 0 | 29 | Travel_Rarely | 590 | Research & Development | 4 | 3 | Technical Degree | 1 | 1762 | 4 | Female | 91 | 2 | 1 | Research Scientist | 1 | Divorced | 2109 | 10007 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1259 | 0 | 30 | Travel_Rarely | 305 | Research & Development | 16 | 3 | Life Sciences | 1 | 1763 | 3 | Male | 58 | 4 | 2 | Healthcare Representative | 3 | Married | 5294 | 9128 | 3 | Y | No | 16 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 7 | 0 | 1 | 7 |
| 1260 | 0 | 32 | Non-Travel | 953 | Research & Development | 5 | 4 | Technical Degree | 1 | 1764 | 2 | Male | 65 | 3 | 1 | Research Scientist | 2 | Single | 2718 | 17674 | 2 | Y | No | 14 | 3 | 2 | 80 | 0 | 12 | 3 | 3 | 7 | 7 | 0 | 7 |
| 1261 | 0 | 38 | Travel_Rarely | 833 | Research & Development | 18 | 3 | Medical | 1 | 1766 | 2 | Male | 60 | 1 | 2 | Healthcare Representative | 4 | Married | 5811 | 24539 | 3 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 15 | 2 | 3 | 1 | 0 | 1 | 0 |
| 1262 | 1 | 43 | Travel_Frequently | 807 | Research & Development | 17 | 3 | Technical Degree | 1 | 1767 | 3 | Male | 38 | 2 | 1 | Research Scientist | 3 | Married | 2437 | 15587 | 9 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 4 | 3 | 1 | 0 | 0 | 0 |
| 1263 | 0 | 42 | Travel_Rarely | 855 | Research & Development | 12 | 3 | Medical | 1 | 1768 | 2 | Male | 57 | 3 | 1 | Laboratory Technician | 2 | Divorced | 2766 | 8952 | 8 | Y | No | 22 | 4 | 2 | 80 | 3 | 7 | 6 | 2 | 5 | 3 | 0 | 4 |
| 1264 | 0 | 55 | Travel_Rarely | 478 | Research & Development | 2 | 3 | Medical | 1 | 1770 | 3 | Male | 60 | 2 | 5 | Research Director | 1 | Married | 19038 | 19805 | 8 | Y | No | 12 | 3 | 2 | 80 | 3 | 34 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1265 | 0 | 33 | Non-Travel | 775 | Research & Development | 4 | 3 | Technical Degree | 1 | 1771 | 4 | Male | 90 | 3 | 2 | Research Scientist | 2 | Divorced | 3055 | 6194 | 5 | Y | No | 15 | 3 | 4 | 80 | 2 | 11 | 2 | 2 | 9 | 8 | 1 | 7 |
| 1266 | 0 | 41 | Travel_Rarely | 548 | Research & Development | 9 | 4 | Life Sciences | 1 | 1772 | 3 | Male | 94 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2289 | 20520 | 1 | Y | No | 20 | 4 | 2 | 80 | 2 | 5 | 2 | 3 | 5 | 3 | 0 | 4 |
| 1267 | 0 | 34 | Non-Travel | 1375 | Sales | 10 | 3 | Life Sciences | 1 | 1774 | 4 | Male | 87 | 3 | 2 | Sales Executive | 3 | Divorced | 4001 | 12313 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 15 | 3 | 3 | 15 | 14 | 0 | 7 |
| 1268 | 0 | 53 | Non-Travel | 661 | Research & Development | 1 | 4 | Medical | 1 | 1775 | 1 | Female | 60 | 2 | 4 | Manufacturing Director | 3 | Married | 12965 | 22308 | 4 | Y | Yes | 20 | 4 | 4 | 80 | 3 | 27 | 2 | 2 | 3 | 2 | 0 | 2 |
| 1269 | 0 | 43 | Travel_Rarely | 244 | Human Resources | 2 | 3 | Life Sciences | 1 | 1778 | 2 | Male | 97 | 3 | 1 | Human Resources | 4 | Single | 3539 | 5033 | 0 | Y | No | 13 | 3 | 2 | 80 | 0 | 10 | 5 | 3 | 9 | 7 | 1 | 8 |
| 1270 | 0 | 34 | Travel_Rarely | 511 | Sales | 3 | 2 | Life Sciences | 1 | 1779 | 4 | Female | 32 | 1 | 2 | Sales Executive | 4 | Single | 6029 | 25353 | 5 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1271 | 1 | 21 | Travel_Rarely | 337 | Sales | 7 | 1 | Marketing | 1 | 1780 | 2 | Male | 31 | 3 | 1 | Sales Representative | 2 | Single | 2679 | 4567 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 1 | 0 |
| 1272 | 0 | 38 | Travel_Rarely | 1153 | Research & Development | 6 | 2 | Other | 1 | 1782 | 4 | Female | 40 | 2 | 1 | Laboratory Technician | 3 | Married | 3702 | 16376 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 5 | 4 | 0 | 4 |
| 1273 | 1 | 22 | Travel_Rarely | 1294 | Research & Development | 8 | 1 | Medical | 1 | 1783 | 3 | Female | 79 | 3 | 1 | Laboratory Technician | 1 | Married | 2398 | 15999 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 1 | 6 | 3 | 1 | 0 | 0 | 0 |
| 1274 | 0 | 31 | Travel_Rarely | 196 | Sales | 29 | 4 | Marketing | 1 | 1784 | 1 | Female | 91 | 2 | 2 | Sales Executive | 4 | Married | 5468 | 13402 | 1 | Y | No | 14 | 3 | 1 | 80 | 2 | 13 | 3 | 3 | 12 | 7 | 5 | 7 |
| 1275 | 0 | 51 | Travel_Rarely | 942 | Research & Development | 3 | 3 | Technical Degree | 1 | 1786 | 1 | Female | 53 | 3 | 3 | Manager | 3 | Married | 13116 | 22984 | 2 | Y | No | 11 | 3 | 4 | 80 | 0 | 15 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1276 | 0 | 37 | Travel_Rarely | 589 | Sales | 9 | 2 | Marketing | 1 | 1787 | 2 | Male | 46 | 2 | 2 | Sales Executive | 2 | Married | 4189 | 8800 | 1 | Y | No | 14 | 3 | 1 | 80 | 2 | 5 | 2 | 3 | 5 | 2 | 0 | 3 |
| 1277 | 0 | 46 | Travel_Rarely | 734 | Research & Development | 2 | 4 | Medical | 1 | 1789 | 3 | Male | 46 | 3 | 5 | Research Director | 4 | Divorced | 19328 | 14218 | 7 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 24 | 3 | 3 | 2 | 1 | 2 | 2 |
| 1278 | 0 | 36 | Travel_Rarely | 1383 | Research & Development | 10 | 3 | Life Sciences | 1 | 1790 | 4 | Male | 90 | 3 | 3 | Healthcare Representative | 1 | Married | 8321 | 25949 | 7 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 15 | 1 | 3 | 12 | 8 | 5 | 7 |
| 1279 | 1 | 44 | Travel_Frequently | 429 | Research & Development | 1 | 2 | Medical | 1 | 1792 | 3 | Male | 99 | 3 | 1 | Research Scientist | 2 | Divorced | 2342 | 11092 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 6 | 2 | 2 | 5 | 3 | 2 | 3 |
| 1280 | 0 | 37 | Travel_Rarely | 1239 | Human Resources | 8 | 2 | Other | 1 | 1794 | 3 | Male | 89 | 3 | 2 | Human Resources | 2 | Divorced | 4071 | 12832 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 19 | 4 | 2 | 10 | 0 | 4 | 7 |
| 1281 | 1 | 35 | Travel_Rarely | 303 | Sales | 27 | 3 | Life Sciences | 1 | 1797 | 3 | Male | 84 | 3 | 2 | Sales Executive | 4 | Single | 5813 | 13492 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 7 | 7 | 7 |
| 1282 | 0 | 33 | Travel_Rarely | 867 | Research & Development | 8 | 4 | Life Sciences | 1 | 1798 | 4 | Male | 90 | 4 | 1 | Research Scientist | 1 | Married | 3143 | 6076 | 6 | Y | No | 19 | 3 | 2 | 80 | 1 | 14 | 1 | 3 | 10 | 8 | 7 | 6 |
| 1283 | 0 | 28 | Travel_Rarely | 1181 | Research & Development | 1 | 3 | Life Sciences | 1 | 1799 | 3 | Male | 82 | 3 | 1 | Research Scientist | 4 | Married | 2044 | 5531 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 6 | 4 | 5 | 3 | 0 | 3 |
| 1284 | 0 | 39 | Travel_Rarely | 1253 | Research & Development | 10 | 1 | Medical | 1 | 1800 | 3 | Male | 65 | 3 | 3 | Research Director | 3 | Single | 13464 | 7914 | 7 | Y | No | 21 | 4 | 3 | 80 | 0 | 9 | 3 | 3 | 4 | 3 | 2 | 2 |
| 1285 | 0 | 46 | Non-Travel | 849 | Sales | 26 | 2 | Life Sciences | 1 | 1801 | 2 | Male | 98 | 2 | 2 | Sales Executive | 2 | Single | 7991 | 25166 | 8 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1286 | 0 | 40 | Travel_Rarely | 616 | Research & Development | 2 | 2 | Life Sciences | 1 | 1802 | 3 | Female | 99 | 3 | 1 | Laboratory Technician | 1 | Married | 3377 | 25605 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 7 | 5 | 2 | 4 | 3 | 0 | 2 |
| 1287 | 0 | 42 | Travel_Rarely | 1128 | Research & Development | 13 | 3 | Medical | 1 | 1803 | 2 | Male | 95 | 4 | 2 | Healthcare Representative | 1 | Married | 5538 | 5696 | 5 | Y | No | 18 | 3 | 3 | 80 | 2 | 10 | 2 | 2 | 0 | 0 | 0 | 0 |
| 1288 | 0 | 35 | Non-Travel | 1180 | Research & Development | 2 | 2 | Medical | 1 | 1804 | 2 | Male | 90 | 3 | 2 | Manufacturing Director | 4 | Divorced | 5762 | 24442 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 6 | 3 | 7 | 7 | 1 | 7 |
| 1289 | 0 | 38 | Non-Travel | 1336 | Human Resources | 2 | 3 | Human Resources | 1 | 1805 | 1 | Male | 100 | 3 | 1 | Human Resources | 2 | Divorced | 2592 | 7129 | 5 | Y | No | 13 | 3 | 4 | 80 | 3 | 13 | 3 | 3 | 11 | 10 | 3 | 8 |
| 1290 | 1 | 34 | Travel_Frequently | 234 | Research & Development | 9 | 4 | Life Sciences | 1 | 1807 | 4 | Male | 93 | 3 | 2 | Laboratory Technician | 1 | Married | 5346 | 6208 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 11 | 3 | 2 | 7 | 1 | 0 | 7 |
| 1291 | 1 | 37 | Travel_Rarely | 370 | Research & Development | 10 | 4 | Medical | 1 | 1809 | 4 | Male | 58 | 3 | 2 | Manufacturing Director | 1 | Single | 4213 | 4992 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 4 | 1 | 10 | 3 | 0 | 8 |
| 1292 | 0 | 39 | Travel_Frequently | 766 | Sales | 20 | 3 | Life Sciences | 1 | 1812 | 3 | Male | 83 | 3 | 2 | Sales Executive | 4 | Divorced | 4127 | 19188 | 2 | Y | No | 18 | 3 | 4 | 80 | 1 | 7 | 6 | 3 | 2 | 1 | 2 | 2 |
| 1293 | 0 | 43 | Non-Travel | 343 | Research & Development | 9 | 3 | Life Sciences | 1 | 1813 | 1 | Male | 52 | 3 | 1 | Research Scientist | 3 | Single | 2438 | 24978 | 4 | Y | No | 13 | 3 | 3 | 80 | 0 | 7 | 2 | 2 | 3 | 2 | 1 | 2 |
| 1294 | 0 | 41 | Travel_Rarely | 447 | Research & Development | 5 | 3 | Life Sciences | 1 | 1814 | 2 | Male | 85 | 4 | 2 | Healthcare Representative | 2 | Single | 6870 | 15530 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 11 | 3 | 1 | 3 | 2 | 1 | 2 |
| 1295 | 0 | 41 | Travel_Rarely | 796 | Sales | 4 | 1 | Marketing | 1 | 1815 | 3 | Female | 81 | 3 | 3 | Sales Executive | 3 | Divorced | 10447 | 26458 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 23 | 3 | 4 | 22 | 14 | 13 | 5 |
| 1296 | 0 | 30 | Travel_Rarely | 1092 | Research & Development | 10 | 3 | Medical | 1 | 1816 | 1 | Female | 64 | 3 | 3 | Manufacturing Director | 3 | Single | 9667 | 2739 | 9 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 3 | 3 | 7 | 7 | 0 | 2 |
| 1297 | 1 | 26 | Travel_Rarely | 920 | Human Resources | 20 | 2 | Medical | 1 | 1818 | 4 | Female | 69 | 3 | 1 | Human Resources | 2 | Married | 2148 | 6889 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 1 | 1 | 4 |
| 1298 | 1 | 46 | Travel_Rarely | 261 | Research & Development | 21 | 2 | Medical | 1 | 1821 | 4 | Female | 66 | 3 | 2 | Healthcare Representative | 2 | Married | 8926 | 10842 | 4 | Y | No | 22 | 4 | 4 | 80 | 1 | 13 | 2 | 4 | 9 | 7 | 3 | 7 |
| 1299 | 0 | 40 | Travel_Rarely | 1194 | Research & Development | 1 | 3 | Life Sciences | 1 | 1822 | 3 | Female | 52 | 3 | 2 | Healthcare Representative | 4 | Divorced | 6513 | 9060 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 12 | 3 | 3 | 5 | 3 | 0 | 3 |
| 1300 | 0 | 34 | Travel_Rarely | 810 | Sales | 8 | 2 | Technical Degree | 1 | 1823 | 2 | Male | 92 | 4 | 2 | Sales Executive | 3 | Married | 6799 | 22128 | 1 | Y | No | 21 | 4 | 3 | 80 | 2 | 10 | 5 | 3 | 10 | 8 | 4 | 8 |
| 1301 | 0 | 58 | Non-Travel | 350 | Sales | 2 | 3 | Medical | 1 | 1824 | 2 | Male | 52 | 3 | 4 | Manager | 2 | Divorced | 16291 | 22577 | 4 | Y | No | 22 | 4 | 4 | 80 | 1 | 37 | 0 | 2 | 16 | 9 | 14 | 14 |
| 1302 | 0 | 35 | Travel_Rarely | 185 | Research & Development | 23 | 4 | Medical | 1 | 1826 | 2 | Male | 91 | 1 | 1 | Laboratory Technician | 3 | Married | 2705 | 9696 | 0 | Y | No | 16 | 3 | 2 | 80 | 1 | 6 | 2 | 4 | 5 | 4 | 0 | 3 |
| 1303 | 0 | 47 | Travel_Rarely | 1001 | Research & Development | 4 | 3 | Life Sciences | 1 | 1827 | 3 | Female | 92 | 2 | 3 | Manufacturing Director | 2 | Divorced | 10333 | 19271 | 8 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 28 | 4 | 3 | 22 | 11 | 14 | 10 |
| 1304 | 0 | 40 | Travel_Rarely | 750 | Research & Development | 12 | 3 | Life Sciences | 1 | 1829 | 2 | Female | 47 | 3 | 2 | Healthcare Representative | 1 | Divorced | 4448 | 10748 | 2 | Y | No | 12 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 7 | 4 | 7 | 7 |
| 1305 | 0 | 54 | Travel_Rarely | 431 | Research & Development | 7 | 4 | Medical | 1 | 1830 | 4 | Female | 68 | 3 | 2 | Research Scientist | 4 | Married | 6854 | 15696 | 4 | Y | No | 15 | 3 | 2 | 80 | 1 | 14 | 2 | 2 | 7 | 1 | 1 | 7 |
| 1306 | 0 | 31 | Travel_Frequently | 1125 | Sales | 7 | 4 | Marketing | 1 | 1833 | 1 | Female | 68 | 3 | 3 | Sales Executive | 1 | Married | 9637 | 8277 | 2 | Y | No | 14 | 3 | 4 | 80 | 2 | 9 | 3 | 3 | 3 | 2 | 2 | 2 |
| 1307 | 0 | 28 | Travel_Rarely | 1217 | Research & Development | 1 | 3 | Medical | 1 | 1834 | 3 | Female | 67 | 3 | 1 | Research Scientist | 1 | Married | 3591 | 12719 | 1 | Y | No | 25 | 4 | 3 | 80 | 1 | 3 | 3 | 3 | 3 | 2 | 1 | 2 |
| 1308 | 0 | 38 | Travel_Rarely | 723 | Sales | 2 | 4 | Marketing | 1 | 1835 | 2 | Female | 77 | 1 | 2 | Sales Representative | 4 | Married | 5405 | 4244 | 2 | Y | Yes | 20 | 4 | 1 | 80 | 2 | 20 | 4 | 2 | 4 | 2 | 0 | 3 |
| 1309 | 0 | 26 | Travel_Rarely | 572 | Sales | 10 | 3 | Medical | 1 | 1836 | 3 | Male | 46 | 3 | 2 | Sales Executive | 4 | Single | 4684 | 9125 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 5 | 4 | 3 | 5 | 3 | 1 | 2 |
| 1310 | 0 | 58 | Travel_Frequently | 1216 | Research & Development | 15 | 4 | Life Sciences | 1 | 1837 | 1 | Male | 87 | 3 | 4 | Research Director | 3 | Married | 15787 | 21624 | 2 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 23 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1311 | 0 | 18 | Non-Travel | 1431 | Research & Development | 14 | 3 | Medical | 1 | 1839 | 2 | Female | 33 | 3 | 1 | Research Scientist | 3 | Single | 1514 | 8018 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 0 | 4 | 1 | 0 | 0 | 0 | 0 |
| 1312 | 1 | 31 | Travel_Rarely | 359 | Human Resources | 18 | 5 | Human Resources | 1 | 1842 | 4 | Male | 89 | 4 | 1 | Human Resources | 1 | Married | 2956 | 21495 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 2 | 4 | 3 | 1 | 0 | 0 | 0 |
| 1313 | 1 | 29 | Travel_Rarely | 350 | Human Resources | 13 | 3 | Human Resources | 1 | 1844 | 1 | Male | 56 | 2 | 1 | Human Resources | 1 | Divorced | 2335 | 3157 | 4 | Y | Yes | 15 | 3 | 4 | 80 | 3 | 4 | 3 | 3 | 2 | 2 | 2 | 0 |
| 1314 | 0 | 45 | Non-Travel | 589 | Sales | 2 | 4 | Life Sciences | 1 | 1845 | 3 | Female | 67 | 3 | 2 | Sales Executive | 3 | Married | 5154 | 19665 | 4 | Y | No | 22 | 4 | 2 | 80 | 2 | 10 | 3 | 4 | 8 | 7 | 5 | 7 |
| 1315 | 0 | 36 | Travel_Rarely | 430 | Research & Development | 2 | 4 | Other | 1 | 1847 | 4 | Female | 73 | 3 | 2 | Research Scientist | 2 | Married | 6962 | 19573 | 4 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 15 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1316 | 0 | 43 | Travel_Frequently | 1422 | Sales | 2 | 4 | Life Sciences | 1 | 1849 | 1 | Male | 92 | 3 | 2 | Sales Executive | 4 | Married | 5675 | 19246 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 7 | 5 | 3 | 7 | 7 | 7 | 7 |
| 1317 | 0 | 27 | Travel_Frequently | 1297 | Research & Development | 5 | 2 | Life Sciences | 1 | 1850 | 4 | Female | 53 | 3 | 1 | Laboratory Technician | 4 | Single | 2379 | 19826 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 5 | 4 | 0 | 2 |
| 1318 | 0 | 29 | Travel_Frequently | 574 | Research & Development | 20 | 1 | Medical | 1 | 1852 | 4 | Male | 40 | 3 | 1 | Laboratory Technician | 4 | Married | 3812 | 7003 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 11 | 3 | 4 | 11 | 8 | 3 | 10 |
| 1319 | 0 | 32 | Travel_Frequently | 1318 | Sales | 10 | 4 | Marketing | 1 | 1853 | 4 | Male | 79 | 3 | 2 | Sales Executive | 4 | Single | 4648 | 26075 | 8 | Y | No | 13 | 3 | 3 | 80 | 0 | 4 | 2 | 4 | 0 | 0 | 0 | 0 |
| 1320 | 0 | 42 | Non-Travel | 355 | Research & Development | 10 | 4 | Technical Degree | 1 | 1854 | 3 | Male | 38 | 3 | 1 | Research Scientist | 3 | Married | 2936 | 6161 | 3 | Y | No | 22 | 4 | 2 | 80 | 2 | 10 | 1 | 2 | 6 | 3 | 3 | 3 |
| 1321 | 0 | 47 | Travel_Rarely | 207 | Research & Development | 9 | 4 | Life Sciences | 1 | 1856 | 2 | Female | 64 | 3 | 1 | Laboratory Technician | 3 | Single | 2105 | 5411 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 7 | 2 | 3 | 2 | 2 | 2 | 0 |
| 1322 | 0 | 46 | Travel_Rarely | 706 | Research & Development | 2 | 2 | Life Sciences | 1 | 1857 | 4 | Male | 82 | 3 | 3 | Manufacturing Director | 4 | Divorced | 8578 | 19989 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 12 | 4 | 2 | 9 | 8 | 4 | 7 |
| 1323 | 0 | 28 | Non-Travel | 280 | Human Resources | 1 | 2 | Life Sciences | 1 | 1858 | 3 | Male | 43 | 3 | 1 | Human Resources | 4 | Divorced | 2706 | 10494 | 1 | Y | No | 15 | 3 | 2 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 2 | 2 |
| 1324 | 0 | 29 | Travel_Rarely | 726 | Research & Development | 29 | 1 | Life Sciences | 1 | 1859 | 4 | Male | 93 | 1 | 2 | Healthcare Representative | 3 | Divorced | 6384 | 21143 | 8 | Y | No | 17 | 3 | 4 | 80 | 2 | 11 | 3 | 3 | 7 | 0 | 1 | 6 |
| 1325 | 0 | 42 | Travel_Rarely | 1142 | Research & Development | 8 | 3 | Life Sciences | 1 | 1860 | 4 | Male | 81 | 3 | 1 | Laboratory Technician | 3 | Single | 3968 | 13624 | 4 | Y | No | 13 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 0 | 0 | 0 | 0 |
| 1326 | 1 | 32 | Travel_Rarely | 414 | Sales | 2 | 4 | Marketing | 1 | 1862 | 3 | Male | 82 | 2 | 2 | Sales Executive | 2 | Single | 9907 | 26186 | 7 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 7 | 3 | 2 | 2 | 2 | 2 | 2 |
| 1327 | 0 | 46 | Travel_Rarely | 1319 | Sales | 3 | 3 | Technical Degree | 1 | 1863 | 1 | Female | 45 | 4 | 4 | Sales Executive | 1 | Divorced | 13225 | 7739 | 2 | Y | No | 12 | 3 | 4 | 80 | 1 | 25 | 5 | 3 | 19 | 17 | 2 | 8 |
| 1328 | 0 | 27 | Travel_Rarely | 728 | Sales | 23 | 1 | Medical | 1 | 1864 | 2 | Female | 36 | 2 | 2 | Sales Representative | 3 | Married | 3540 | 7018 | 1 | Y | No | 21 | 4 | 4 | 80 | 1 | 9 | 5 | 3 | 9 | 8 | 5 | 8 |
| 1329 | 0 | 29 | Travel_Rarely | 352 | Human Resources | 6 | 1 | Medical | 1 | 1865 | 4 | Male | 87 | 2 | 1 | Human Resources | 2 | Married | 2804 | 15434 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1330 | 0 | 43 | Travel_Rarely | 823 | Research & Development | 6 | 3 | Medical | 1 | 1866 | 1 | Female | 81 | 2 | 5 | Manager | 3 | Married | 19392 | 22539 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 16 | 12 | 6 | 14 |
| 1331 | 0 | 48 | Travel_Rarely | 1224 | Research & Development | 10 | 3 | Life Sciences | 1 | 1867 | 4 | Male | 91 | 2 | 5 | Research Director | 2 | Married | 19665 | 13583 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 29 | 3 | 3 | 22 | 10 | 12 | 9 |
| 1332 | 1 | 29 | Travel_Frequently | 459 | Research & Development | 24 | 2 | Life Sciences | 1 | 1868 | 4 | Male | 73 | 2 | 1 | Research Scientist | 4 | Single | 2439 | 14753 | 1 | Y | Yes | 24 | 4 | 2 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
| 1333 | 1 | 46 | Travel_Rarely | 1254 | Sales | 10 | 3 | Life Sciences | 1 | 1869 | 3 | Female | 64 | 3 | 3 | Sales Executive | 2 | Married | 7314 | 14011 | 5 | Y | No | 21 | 4 | 3 | 80 | 3 | 14 | 2 | 3 | 8 | 7 | 0 | 7 |
| 1334 | 0 | 27 | Travel_Frequently | 1131 | Research & Development | 15 | 3 | Life Sciences | 1 | 1870 | 4 | Female | 77 | 2 | 1 | Research Scientist | 1 | Married | 4774 | 23844 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 8 | 2 | 2 | 7 | 6 | 7 | 3 |
| 1335 | 0 | 39 | Travel_Rarely | 835 | Research & Development | 19 | 4 | Other | 1 | 1871 | 4 | Male | 41 | 3 | 2 | Research Scientist | 4 | Divorced | 3902 | 5141 | 8 | Y | No | 14 | 3 | 2 | 80 | 3 | 7 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1336 | 0 | 55 | Travel_Rarely | 836 | Research & Development | 2 | 4 | Technical Degree | 1 | 1873 | 2 | Male | 98 | 2 | 1 | Research Scientist | 4 | Married | 2662 | 7975 | 8 | Y | No | 20 | 4 | 2 | 80 | 1 | 19 | 2 | 4 | 5 | 2 | 0 | 4 |
| 1337 | 0 | 28 | Travel_Rarely | 1172 | Sales | 3 | 3 | Medical | 1 | 1875 | 2 | Female | 78 | 3 | 1 | Sales Representative | 2 | Married | 2856 | 3692 | 1 | Y | No | 19 | 3 | 4 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1338 | 1 | 30 | Travel_Rarely | 945 | Sales | 9 | 3 | Medical | 1 | 1876 | 2 | Male | 89 | 3 | 1 | Sales Representative | 4 | Single | 1081 | 16019 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 0 | 0 |
| 1339 | 1 | 22 | Travel_Rarely | 391 | Research & Development | 7 | 1 | Life Sciences | 1 | 1878 | 4 | Male | 75 | 3 | 1 | Research Scientist | 2 | Single | 2472 | 26092 | 1 | Y | Yes | 23 | 4 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1340 | 0 | 36 | Travel_Rarely | 1266 | Sales | 10 | 4 | Technical Degree | 1 | 1880 | 2 | Female | 63 | 2 | 2 | Sales Executive | 3 | Married | 5673 | 6060 | 1 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 4 | 3 | 10 | 9 | 1 | 7 |
| 1341 | 0 | 31 | Travel_Rarely | 311 | Research & Development | 20 | 3 | Life Sciences | 1 | 1881 | 2 | Male | 89 | 3 | 2 | Laboratory Technician | 3 | Divorced | 4197 | 18624 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 8 | 0 | 2 |
| 1342 | 0 | 34 | Travel_Rarely | 1480 | Sales | 4 | 3 | Life Sciences | 1 | 1882 | 3 | Male | 64 | 3 | 3 | Sales Executive | 4 | Married | 9713 | 24444 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 3 | 9 | 3 | 3 | 5 | 3 | 1 | 0 |
| 1343 | 0 | 29 | Travel_Rarely | 592 | Research & Development | 7 | 3 | Life Sciences | 1 | 1883 | 4 | Male | 59 | 3 | 1 | Laboratory Technician | 1 | Single | 2062 | 19384 | 3 | Y | No | 14 | 3 | 2 | 80 | 0 | 11 | 2 | 3 | 3 | 2 | 1 | 2 |
| 1344 | 0 | 37 | Travel_Rarely | 783 | Research & Development | 7 | 4 | Medical | 1 | 1885 | 4 | Male | 78 | 3 | 2 | Research Scientist | 1 | Married | 4284 | 13588 | 5 | Y | Yes | 22 | 4 | 3 | 80 | 1 | 16 | 2 | 3 | 5 | 3 | 0 | 4 |
| 1345 | 0 | 35 | Travel_Rarely | 219 | Research & Development | 16 | 2 | Other | 1 | 1886 | 4 | Female | 44 | 2 | 2 | Manufacturing Director | 2 | Married | 4788 | 25388 | 0 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 0 | 2 |
| 1346 | 0 | 45 | Travel_Rarely | 556 | Research & Development | 25 | 2 | Life Sciences | 1 | 1888 | 2 | Female | 93 | 2 | 2 | Manufacturing Director | 4 | Married | 5906 | 23888 | 0 | Y | No | 13 | 3 | 4 | 80 | 2 | 10 | 2 | 2 | 9 | 8 | 3 | 8 |
| 1347 | 0 | 36 | Travel_Frequently | 1213 | Human Resources | 2 | 1 | Human Resources | 1 | 1890 | 2 | Male | 94 | 2 | 2 | Human Resources | 4 | Single | 3886 | 4223 | 1 | Y | No | 21 | 4 | 4 | 80 | 0 | 10 | 2 | 2 | 10 | 1 | 0 | 8 |
| 1348 | 0 | 40 | Travel_Rarely | 1137 | Research & Development | 1 | 4 | Life Sciences | 1 | 1892 | 1 | Male | 98 | 3 | 4 | Manager | 1 | Divorced | 16823 | 18991 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 22 | 3 | 3 | 19 | 7 | 11 | 16 |
| 1349 | 0 | 26 | Travel_Rarely | 482 | Research & Development | 1 | 2 | Life Sciences | 1 | 1893 | 2 | Female | 90 | 2 | 1 | Research Scientist | 3 | Married | 2933 | 14908 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
| 1350 | 0 | 27 | Travel_Rarely | 511 | Sales | 2 | 2 | Medical | 1 | 1898 | 1 | Female | 89 | 4 | 2 | Sales Executive | 3 | Single | 6500 | 26997 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 5 | 2 | 8 | 7 | 0 | 7 |
| 1351 | 0 | 48 | Travel_Frequently | 117 | Research & Development | 22 | 3 | Medical | 1 | 1900 | 4 | Female | 58 | 3 | 4 | Manager | 4 | Divorced | 17174 | 2437 | 3 | Y | No | 11 | 3 | 2 | 80 | 1 | 24 | 3 | 3 | 22 | 17 | 4 | 7 |
| 1352 | 0 | 44 | Travel_Rarely | 170 | Research & Development | 1 | 4 | Life Sciences | 1 | 1903 | 2 | Male | 78 | 4 | 2 | Healthcare Representative | 1 | Married | 5033 | 9364 | 2 | Y | No | 15 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 2 | 0 | 2 | 2 |
| 1353 | 1 | 34 | Non-Travel | 967 | Research & Development | 16 | 4 | Technical Degree | 1 | 1905 | 4 | Male | 85 | 1 | 1 | Research Scientist | 1 | Married | 2307 | 14460 | 1 | Y | Yes | 23 | 4 | 2 | 80 | 1 | 5 | 2 | 3 | 5 | 2 | 3 | 0 |
| 1354 | 1 | 56 | Travel_Rarely | 1162 | Research & Development | 24 | 2 | Life Sciences | 1 | 1907 | 1 | Male | 97 | 3 | 1 | Laboratory Technician | 4 | Single | 2587 | 10261 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 4 | 2 | 1 | 0 |
| 1355 | 0 | 36 | Travel_Rarely | 335 | Sales | 17 | 2 | Marketing | 1 | 1908 | 3 | Male | 33 | 2 | 2 | Sales Executive | 2 | Married | 5507 | 16822 | 2 | Y | No | 16 | 3 | 3 | 80 | 2 | 12 | 1 | 1 | 4 | 2 | 1 | 3 |
| 1356 | 0 | 41 | Travel_Rarely | 337 | Sales | 8 | 3 | Marketing | 1 | 1909 | 3 | Female | 54 | 3 | 2 | Sales Executive | 2 | Married | 4393 | 26841 | 5 | Y | No | 21 | 4 | 3 | 80 | 1 | 14 | 3 | 3 | 5 | 4 | 1 | 4 |
| 1357 | 0 | 42 | Travel_Rarely | 1396 | Research & Development | 6 | 3 | Medical | 1 | 1911 | 3 | Male | 83 | 3 | 3 | Research Director | 1 | Married | 13348 | 14842 | 9 | Y | No | 13 | 3 | 2 | 80 | 1 | 18 | 3 | 4 | 13 | 7 | 5 | 7 |
| 1358 | 0 | 31 | Travel_Rarely | 1079 | Sales | 10 | 2 | Medical | 1 | 1912 | 3 | Female | 86 | 3 | 2 | Sales Executive | 4 | Divorced | 6583 | 20115 | 2 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 8 | 2 | 3 | 5 | 2 | 1 | 4 |
| 1359 | 0 | 34 | Travel_Rarely | 735 | Sales | 3 | 1 | Medical | 1 | 1915 | 4 | Female | 75 | 2 | 2 | Sales Executive | 4 | Married | 8103 | 16495 | 3 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 9 | 3 | 2 | 4 | 2 | 0 | 1 |
| 1360 | 0 | 31 | Travel_Rarely | 471 | Research & Development | 4 | 3 | Medical | 1 | 1916 | 1 | Female | 62 | 4 | 1 | Laboratory Technician | 3 | Divorced | 3978 | 16031 | 8 | Y | No | 12 | 3 | 2 | 80 | 1 | 4 | 0 | 2 | 2 | 2 | 2 | 2 |
| 1361 | 0 | 26 | Travel_Frequently | 1096 | Research & Development | 6 | 3 | Other | 1 | 1918 | 3 | Male | 61 | 4 | 1 | Laboratory Technician | 4 | Married | 2544 | 7102 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 7 | 7 | 7 | 7 |
| 1362 | 0 | 45 | Travel_Frequently | 1297 | Research & Development | 1 | 4 | Medical | 1 | 1922 | 2 | Male | 44 | 3 | 2 | Healthcare Representative | 3 | Single | 5399 | 14511 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 12 | 3 | 3 | 4 | 2 | 0 | 3 |
| 1363 | 0 | 33 | Travel_Rarely | 217 | Sales | 10 | 4 | Marketing | 1 | 1924 | 2 | Male | 43 | 3 | 2 | Sales Executive | 3 | Single | 5487 | 10410 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 10 | 2 | 2 | 10 | 4 | 0 | 9 |
| 1364 | 0 | 28 | Travel_Frequently | 783 | Sales | 1 | 2 | Life Sciences | 1 | 1927 | 3 | Male | 42 | 2 | 2 | Sales Executive | 4 | Married | 6834 | 19255 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 7 | 2 | 3 | 7 | 7 | 0 | 7 |
| 1365 | 1 | 29 | Travel_Frequently | 746 | Sales | 24 | 3 | Technical Degree | 1 | 1928 | 3 | Male | 45 | 4 | 1 | Sales Representative | 1 | Single | 1091 | 10642 | 1 | Y | No | 17 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1366 | 0 | 39 | Non-Travel | 1251 | Sales | 21 | 4 | Life Sciences | 1 | 1929 | 1 | Female | 32 | 1 | 2 | Sales Executive | 3 | Married | 5736 | 3987 | 6 | Y | No | 19 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 3 | 2 | 1 | 2 |
| 1367 | 0 | 27 | Travel_Rarely | 1354 | Research & Development | 2 | 4 | Technical Degree | 1 | 1931 | 2 | Male | 41 | 3 | 1 | Research Scientist | 2 | Married | 2226 | 6073 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 6 | 3 | 2 | 5 | 3 | 1 | 2 |
| 1368 | 0 | 34 | Travel_Frequently | 735 | Research & Development | 22 | 4 | Other | 1 | 1932 | 3 | Male | 86 | 2 | 2 | Research Scientist | 4 | Married | 5747 | 26496 | 1 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 16 | 3 | 3 | 15 | 10 | 6 | 11 |
| 1369 | 1 | 28 | Travel_Rarely | 1475 | Sales | 13 | 2 | Marketing | 1 | 1933 | 4 | Female | 84 | 3 | 2 | Sales Executive | 3 | Single | 9854 | 23352 | 3 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 0 | 3 | 2 | 0 | 2 | 2 |
| 1370 | 0 | 47 | Non-Travel | 1169 | Research & Development | 14 | 4 | Technical Degree | 1 | 1934 | 3 | Male | 64 | 3 | 2 | Research Scientist | 2 | Married | 5467 | 2125 | 8 | Y | No | 18 | 3 | 3 | 80 | 1 | 16 | 4 | 4 | 8 | 7 | 1 | 7 |
| 1371 | 0 | 56 | Travel_Rarely | 1443 | Sales | 11 | 5 | Marketing | 1 | 1935 | 4 | Female | 89 | 2 | 2 | Sales Executive | 1 | Married | 5380 | 20328 | 4 | Y | No | 16 | 3 | 3 | 80 | 1 | 6 | 3 | 3 | 0 | 0 | 0 | 0 |
| 1372 | 0 | 39 | Travel_Rarely | 867 | Research & Development | 9 | 2 | Medical | 1 | 1936 | 1 | Male | 87 | 3 | 2 | Manufacturing Director | 1 | Married | 5151 | 12315 | 1 | Y | No | 25 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 0 | 7 | 9 |
| 1373 | 0 | 38 | Travel_Frequently | 1394 | Research & Development | 8 | 3 | Medical | 1 | 1937 | 4 | Female | 58 | 2 | 2 | Research Scientist | 2 | Divorced | 2133 | 18115 | 1 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 20 | 3 | 3 | 20 | 11 | 0 | 7 |
| 1374 | 0 | 58 | Travel_Rarely | 605 | Sales | 21 | 3 | Life Sciences | 1 | 1938 | 4 | Female | 72 | 3 | 4 | Manager | 4 | Married | 17875 | 11761 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 29 | 2 | 2 | 1 | 0 | 0 | 0 |
| 1375 | 1 | 32 | Travel_Frequently | 238 | Research & Development | 5 | 2 | Life Sciences | 1 | 1939 | 1 | Female | 47 | 4 | 1 | Research Scientist | 3 | Single | 2432 | 15318 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 8 | 2 | 3 | 4 | 1 | 0 | 3 |
| 1376 | 0 | 38 | Travel_Rarely | 1206 | Research & Development | 9 | 2 | Life Sciences | 1 | 1940 | 2 | Male | 71 | 3 | 1 | Research Scientist | 4 | Divorced | 4771 | 14293 | 2 | Y | No | 19 | 3 | 4 | 80 | 2 | 10 | 0 | 4 | 5 | 2 | 0 | 3 |
| 1377 | 0 | 49 | Travel_Frequently | 1064 | Research & Development | 2 | 1 | Life Sciences | 1 | 1941 | 2 | Male | 42 | 3 | 5 | Research Director | 4 | Married | 19161 | 13738 | 3 | Y | No | 15 | 3 | 4 | 80 | 0 | 28 | 3 | 3 | 5 | 4 | 4 | 3 |
| 1378 | 0 | 42 | Travel_Rarely | 419 | Sales | 12 | 4 | Marketing | 1 | 1943 | 2 | Male | 77 | 3 | 2 | Sales Executive | 4 | Divorced | 5087 | 2900 | 3 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 14 | 4 | 3 | 0 | 0 | 0 | 0 |
| 1379 | 1 | 27 | Travel_Frequently | 1337 | Human Resources | 22 | 3 | Human Resources | 1 | 1944 | 1 | Female | 58 | 2 | 1 | Human Resources | 2 | Married | 2863 | 19555 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1380 | 0 | 35 | Travel_Rarely | 682 | Sales | 18 | 4 | Medical | 1 | 1945 | 2 | Male | 71 | 3 | 2 | Sales Executive | 1 | Married | 5561 | 15975 | 0 | Y | No | 16 | 3 | 4 | 80 | 1 | 6 | 2 | 1 | 5 | 3 | 0 | 4 |
| 1381 | 0 | 28 | Non-Travel | 1103 | Research & Development | 16 | 3 | Medical | 1 | 1947 | 3 | Male | 49 | 3 | 1 | Research Scientist | 3 | Single | 2144 | 2122 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 5 | 3 | 2 | 5 | 3 | 1 | 4 |
| 1382 | 0 | 31 | Non-Travel | 976 | Research & Development | 3 | 2 | Medical | 1 | 1948 | 3 | Male | 48 | 3 | 1 | Research Scientist | 1 | Divorced | 3065 | 3995 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 4 | 3 | 4 | 4 | 2 | 2 | 3 |
| 1383 | 0 | 36 | Non-Travel | 1351 | Research & Development | 9 | 4 | Life Sciences | 1 | 1949 | 1 | Male | 66 | 4 | 1 | Laboratory Technician | 2 | Married | 2810 | 9238 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 2 |
| 1384 | 0 | 34 | Travel_Rarely | 937 | Sales | 1 | 3 | Marketing | 1 | 1950 | 1 | Male | 32 | 3 | 3 | Sales Executive | 4 | Single | 9888 | 6770 | 1 | Y | No | 21 | 4 | 1 | 80 | 0 | 14 | 3 | 2 | 14 | 8 | 2 | 1 |
| 1385 | 0 | 34 | Travel_Rarely | 1239 | Sales | 13 | 4 | Medical | 1 | 1951 | 4 | Male | 39 | 3 | 3 | Sales Executive | 3 | Divorced | 8628 | 22914 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 9 | 2 | 2 | 8 | 7 | 1 | 1 |
| 1386 | 0 | 26 | Travel_Rarely | 157 | Research & Development | 1 | 3 | Medical | 1 | 1952 | 3 | Male | 95 | 3 | 1 | Laboratory Technician | 1 | Single | 2867 | 20006 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 8 | 6 | 2 | 7 | 7 | 7 | 6 |
| 1387 | 0 | 29 | Travel_Rarely | 136 | Research & Development | 1 | 3 | Life Sciences | 1 | 1954 | 1 | Male | 89 | 3 | 2 | Healthcare Representative | 1 | Married | 5373 | 6225 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 6 | 5 | 2 | 5 | 3 | 0 | 2 |
| 1388 | 0 | 32 | Non-Travel | 1146 | Research & Development | 15 | 4 | Medical | 1 | 1955 | 3 | Female | 34 | 3 | 2 | Healthcare Representative | 4 | Divorced | 6667 | 16542 | 5 | Y | No | 18 | 3 | 2 | 80 | 1 | 9 | 6 | 3 | 5 | 1 | 1 | 2 |
| 1389 | 0 | 31 | Travel_Frequently | 1125 | Research & Development | 1 | 3 | Life Sciences | 1 | 1956 | 4 | Male | 48 | 1 | 2 | Research Scientist | 1 | Married | 5003 | 5771 | 1 | Y | No | 21 | 4 | 2 | 80 | 0 | 10 | 6 | 3 | 10 | 8 | 8 | 7 |
| 1390 | 1 | 28 | Travel_Rarely | 1404 | Research & Development | 17 | 3 | Technical Degree | 1 | 1960 | 3 | Male | 32 | 2 | 1 | Laboratory Technician | 4 | Divorced | 2367 | 18779 | 5 | Y | No | 12 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 4 | 1 | 0 | 3 |
| 1391 | 0 | 38 | Travel_Rarely | 1404 | Sales | 1 | 3 | Life Sciences | 1 | 1961 | 1 | Male | 59 | 2 | 1 | Sales Representative | 1 | Single | 2858 | 11473 | 4 | Y | No | 14 | 3 | 1 | 80 | 0 | 20 | 3 | 2 | 1 | 0 | 0 | 0 |
| 1392 | 0 | 35 | Travel_Rarely | 1224 | Sales | 7 | 4 | Life Sciences | 1 | 1962 | 3 | Female | 55 | 3 | 2 | Sales Executive | 4 | Married | 5204 | 13586 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 0 | 9 |
| 1393 | 0 | 27 | Travel_Rarely | 954 | Sales | 9 | 3 | Marketing | 1 | 1965 | 4 | Male | 44 | 3 | 2 | Sales Executive | 4 | Single | 4105 | 5099 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 7 | 5 | 3 | 7 | 7 | 0 | 7 |
| 1394 | 0 | 32 | Travel_Rarely | 1373 | Research & Development | 5 | 4 | Life Sciences | 1 | 1966 | 4 | Male | 56 | 2 | 2 | Manufacturing Director | 4 | Single | 9679 | 10138 | 8 | Y | No | 24 | 4 | 2 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 0 |
| 1395 | 1 | 31 | Travel_Frequently | 754 | Sales | 26 | 4 | Marketing | 1 | 1967 | 1 | Male | 63 | 3 | 2 | Sales Executive | 4 | Married | 5617 | 21075 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 10 | 4 | 3 | 10 | 7 | 0 | 8 |
| 1396 | 1 | 53 | Travel_Rarely | 1168 | Sales | 24 | 4 | Life Sciences | 1 | 1968 | 1 | Male | 66 | 3 | 3 | Sales Executive | 1 | Single | 10448 | 5843 | 6 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 15 | 2 | 2 | 2 | 2 | 2 | 2 |
| 1397 | 0 | 54 | Travel_Rarely | 155 | Research & Development | 9 | 2 | Life Sciences | 1 | 1969 | 1 | Female | 67 | 3 | 2 | Research Scientist | 3 | Married | 2897 | 22474 | 3 | Y | No | 11 | 3 | 3 | 80 | 2 | 9 | 6 | 2 | 4 | 3 | 2 | 3 |
| 1398 | 0 | 33 | Travel_Frequently | 1303 | Research & Development | 7 | 2 | Life Sciences | 1 | 1970 | 4 | Male | 36 | 3 | 2 | Healthcare Representative | 3 | Divorced | 5968 | 18079 | 1 | Y | No | 20 | 4 | 3 | 80 | 3 | 9 | 2 | 3 | 9 | 7 | 2 | 8 |
| 1399 | 0 | 43 | Travel_Rarely | 574 | Research & Development | 11 | 3 | Life Sciences | 1 | 1971 | 1 | Male | 30 | 3 | 3 | Healthcare Representative | 3 | Married | 7510 | 16873 | 1 | Y | No | 17 | 3 | 2 | 80 | 1 | 10 | 1 | 3 | 10 | 9 | 0 | 9 |
| 1400 | 0 | 38 | Travel_Frequently | 1444 | Human Resources | 1 | 4 | Other | 1 | 1972 | 4 | Male | 88 | 3 | 1 | Human Resources | 2 | Married | 2991 | 5224 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 7 | 2 | 3 | 6 | 2 | 1 | 2 |
| 1401 | 0 | 55 | Travel_Rarely | 189 | Human Resources | 26 | 4 | Human Resources | 1 | 1973 | 3 | Male | 71 | 4 | 5 | Manager | 2 | Married | 19636 | 25811 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 1 | 35 | 0 | 3 | 10 | 9 | 1 | 4 |
| 1402 | 0 | 31 | Travel_Rarely | 1276 | Research & Development | 2 | 1 | Medical | 1 | 1974 | 4 | Female | 59 | 1 | 1 | Laboratory Technician | 4 | Divorced | 1129 | 17536 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 3 | 1 | 4 | 3 | 1 | 0 | 0 | 0 |
| 1403 | 0 | 39 | Travel_Rarely | 119 | Sales | 15 | 4 | Marketing | 1 | 1975 | 2 | Male | 77 | 3 | 4 | Sales Executive | 1 | Single | 13341 | 25098 | 0 | Y | No | 12 | 3 | 1 | 80 | 0 | 21 | 3 | 3 | 20 | 8 | 11 | 10 |
| 1404 | 0 | 42 | Non-Travel | 335 | Research & Development | 23 | 2 | Life Sciences | 1 | 1976 | 4 | Male | 37 | 2 | 2 | Research Scientist | 3 | Single | 4332 | 14811 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 20 | 9 | 3 | 7 |
| 1405 | 0 | 31 | Non-Travel | 697 | Research & Development | 10 | 3 | Medical | 1 | 1979 | 3 | Female | 40 | 3 | 3 | Research Director | 3 | Married | 11031 | 26862 | 4 | Y | No | 20 | 4 | 3 | 80 | 1 | 13 | 2 | 4 | 11 | 7 | 4 | 8 |
| 1406 | 0 | 54 | Travel_Rarely | 157 | Research & Development | 10 | 3 | Medical | 1 | 1980 | 3 | Female | 77 | 3 | 2 | Manufacturing Director | 1 | Single | 4440 | 25198 | 6 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 5 | 2 | 1 | 4 |
| 1407 | 0 | 24 | Travel_Rarely | 771 | Research & Development | 1 | 2 | Life Sciences | 1 | 1981 | 2 | Male | 45 | 2 | 2 | Healthcare Representative | 3 | Single | 4617 | 14120 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 3 | 1 | 2 |
| 1408 | 0 | 23 | Travel_Rarely | 571 | Research & Development | 12 | 2 | Other | 1 | 1982 | 4 | Male | 78 | 3 | 1 | Laboratory Technician | 4 | Single | 2647 | 13672 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 5 | 6 | 4 | 5 | 2 | 1 | 4 |
| 1409 | 0 | 40 | Travel_Frequently | 692 | Research & Development | 11 | 3 | Technical Degree | 1 | 1985 | 4 | Female | 73 | 3 | 2 | Laboratory Technician | 3 | Married | 6323 | 26849 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 4 | 10 | 9 | 9 | 4 |
| 1410 | 0 | 40 | Travel_Rarely | 444 | Sales | 2 | 2 | Marketing | 1 | 1986 | 2 | Female | 92 | 3 | 2 | Sales Executive | 2 | Married | 5677 | 4258 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 4 | 3 | 11 | 8 | 5 | 10 |
| 1411 | 0 | 25 | Travel_Rarely | 309 | Human Resources | 2 | 3 | Human Resources | 1 | 1987 | 3 | Female | 82 | 3 | 1 | Human Resources | 2 | Married | 2187 | 19655 | 4 | Y | No | 14 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 2 | 0 | 1 | 2 |
| 1412 | 0 | 30 | Travel_Rarely | 911 | Research & Development | 1 | 2 | Medical | 1 | 1989 | 4 | Male | 76 | 3 | 1 | Laboratory Technician | 2 | Married | 3748 | 4077 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 6 | 2 | 12 | 8 | 1 | 7 |
| 1413 | 0 | 25 | Travel_Rarely | 977 | Research & Development | 2 | 1 | Other | 1 | 1992 | 4 | Male | 57 | 3 | 1 | Laboratory Technician | 3 | Divorced | 3977 | 7298 | 6 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 7 | 2 | 2 | 2 | 2 | 0 | 2 |
| 1414 | 0 | 47 | Travel_Rarely | 1180 | Research & Development | 25 | 3 | Medical | 1 | 1993 | 1 | Male | 84 | 3 | 3 | Healthcare Representative | 3 | Single | 8633 | 13084 | 2 | Y | No | 23 | 4 | 2 | 80 | 0 | 25 | 3 | 3 | 17 | 14 | 12 | 11 |
| 1415 | 0 | 33 | Non-Travel | 1313 | Research & Development | 1 | 2 | Medical | 1 | 1994 | 2 | Male | 59 | 2 | 1 | Laboratory Technician | 3 | Divorced | 2008 | 20439 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 1 | 2 | 2 | 1 | 1 | 0 | 0 |
| 1416 | 0 | 38 | Travel_Rarely | 1321 | Sales | 1 | 4 | Life Sciences | 1 | 1995 | 4 | Male | 86 | 3 | 2 | Sales Executive | 2 | Married | 4440 | 7636 | 0 | Y | No | 15 | 3 | 1 | 80 | 2 | 16 | 3 | 3 | 15 | 13 | 5 | 8 |
| 1417 | 0 | 31 | Travel_Rarely | 1154 | Sales | 2 | 2 | Life Sciences | 1 | 1996 | 1 | Male | 54 | 3 | 1 | Sales Representative | 3 | Married | 3067 | 6393 | 0 | Y | No | 19 | 3 | 3 | 80 | 1 | 3 | 1 | 3 | 2 | 2 | 1 | 2 |
| 1418 | 0 | 38 | Travel_Frequently | 508 | Research & Development | 6 | 4 | Life Sciences | 1 | 1997 | 1 | Male | 72 | 2 | 2 | Manufacturing Director | 3 | Married | 5321 | 14284 | 2 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 1 | 3 | 8 | 3 | 7 | 7 |
| 1419 | 0 | 42 | Travel_Rarely | 557 | Research & Development | 18 | 4 | Life Sciences | 1 | 1998 | 4 | Male | 35 | 3 | 2 | Research Scientist | 1 | Divorced | 5410 | 11189 | 6 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 9 | 3 | 2 | 4 | 3 | 1 | 2 |
| 1420 | 0 | 41 | Travel_Rarely | 642 | Research & Development | 1 | 3 | Life Sciences | 1 | 1999 | 4 | Male | 76 | 3 | 1 | Research Scientist | 4 | Married | 2782 | 21412 | 3 | Y | No | 22 | 4 | 1 | 80 | 1 | 12 | 3 | 3 | 5 | 3 | 1 | 0 |
| 1421 | 0 | 47 | Non-Travel | 1162 | Research & Development | 1 | 1 | Medical | 1 | 2000 | 3 | Female | 98 | 3 | 3 | Research Director | 2 | Married | 11957 | 17231 | 0 | Y | No | 18 | 3 | 1 | 80 | 2 | 14 | 3 | 1 | 13 | 8 | 5 | 12 |
| 1422 | 0 | 35 | Travel_Rarely | 1490 | Research & Development | 11 | 4 | Medical | 1 | 2003 | 4 | Male | 43 | 3 | 1 | Laboratory Technician | 3 | Married | 2660 | 20232 | 7 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 5 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1423 | 0 | 22 | Travel_Rarely | 581 | Research & Development | 1 | 2 | Life Sciences | 1 | 2007 | 4 | Male | 63 | 3 | 1 | Research Scientist | 3 | Single | 3375 | 17624 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 4 | 2 | 4 | 3 | 2 | 1 | 2 |
| 1424 | 0 | 35 | Travel_Rarely | 1395 | Research & Development | 9 | 4 | Medical | 1 | 2008 | 2 | Male | 48 | 3 | 2 | Research Scientist | 3 | Single | 5098 | 18698 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 5 | 3 | 10 | 7 | 0 | 8 |
| 1425 | 0 | 33 | Travel_Rarely | 501 | Research & Development | 15 | 2 | Medical | 1 | 2009 | 2 | Female | 95 | 3 | 2 | Healthcare Representative | 4 | Married | 4878 | 21653 | 0 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 6 | 3 | 9 | 7 | 8 | 1 |
| 1426 | 0 | 32 | Travel_Rarely | 267 | Research & Development | 29 | 4 | Life Sciences | 1 | 2010 | 3 | Female | 49 | 2 | 1 | Laboratory Technician | 2 | Single | 2837 | 15919 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 2 | 4 | 1 |
| 1427 | 0 | 40 | Travel_Rarely | 543 | Research & Development | 1 | 4 | Life Sciences | 1 | 2012 | 1 | Male | 83 | 3 | 1 | Laboratory Technician | 4 | Married | 2406 | 4060 | 8 | Y | No | 19 | 3 | 3 | 80 | 2 | 8 | 3 | 2 | 1 | 0 | 0 | 0 |
| 1428 | 0 | 32 | Travel_Rarely | 234 | Sales | 1 | 4 | Medical | 1 | 2013 | 2 | Male | 68 | 2 | 1 | Sales Representative | 2 | Married | 2269 | 18024 | 0 | Y | No | 14 | 3 | 2 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1429 | 0 | 39 | Travel_Rarely | 116 | Research & Development | 24 | 1 | Life Sciences | 1 | 2014 | 1 | Male | 52 | 3 | 2 | Research Scientist | 4 | Single | 4108 | 5340 | 7 | Y | No | 13 | 3 | 1 | 80 | 0 | 18 | 2 | 3 | 7 | 7 | 1 | 7 |
| 1430 | 0 | 38 | Travel_Rarely | 201 | Research & Development | 10 | 3 | Medical | 1 | 2015 | 2 | Female | 99 | 1 | 3 | Research Director | 3 | Married | 13206 | 3376 | 3 | Y | No | 12 | 3 | 1 | 80 | 1 | 20 | 3 | 3 | 18 | 16 | 1 | 11 |
| 1431 | 0 | 32 | Travel_Rarely | 801 | Sales | 1 | 4 | Marketing | 1 | 2016 | 3 | Female | 48 | 3 | 3 | Sales Executive | 4 | Married | 10422 | 24032 | 1 | Y | No | 19 | 3 | 3 | 80 | 2 | 14 | 3 | 3 | 14 | 10 | 5 | 7 |
| 1432 | 0 | 37 | Travel_Rarely | 161 | Research & Development | 10 | 3 | Life Sciences | 1 | 2017 | 3 | Female | 42 | 4 | 3 | Research Director | 4 | Married | 13744 | 15471 | 1 | Y | Yes | 25 | 4 | 1 | 80 | 1 | 16 | 2 | 3 | 16 | 11 | 6 | 8 |
| 1433 | 0 | 25 | Travel_Rarely | 1382 | Sales | 8 | 2 | Other | 1 | 2018 | 1 | Female | 85 | 3 | 2 | Sales Executive | 3 | Divorced | 4907 | 13684 | 0 | Y | Yes | 22 | 4 | 2 | 80 | 1 | 6 | 3 | 2 | 5 | 3 | 0 | 4 |
| 1434 | 0 | 52 | Non-Travel | 585 | Sales | 29 | 4 | Life Sciences | 1 | 2019 | 1 | Male | 40 | 3 | 1 | Sales Representative | 4 | Divorced | 3482 | 19788 | 2 | Y | No | 15 | 3 | 2 | 80 | 2 | 16 | 3 | 2 | 9 | 8 | 0 | 0 |
| 1435 | 0 | 44 | Travel_Rarely | 1037 | Research & Development | 1 | 3 | Medical | 1 | 2020 | 2 | Male | 42 | 3 | 1 | Research Scientist | 4 | Single | 2436 | 13422 | 6 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 4 | 3 | 1 | 2 |
| 1436 | 0 | 21 | Travel_Rarely | 501 | Sales | 5 | 1 | Medical | 1 | 2021 | 3 | Male | 58 | 3 | 1 | Sales Representative | 1 | Single | 2380 | 25479 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 2 | 6 | 3 | 2 | 2 | 1 | 2 |
| 1437 | 0 | 39 | Non-Travel | 105 | Research & Development | 9 | 3 | Life Sciences | 1 | 2022 | 4 | Male | 87 | 3 | 5 | Manager | 4 | Single | 19431 | 15302 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 21 | 3 | 2 | 6 | 0 | 1 | 3 |
| 1438 | 1 | 23 | Travel_Frequently | 638 | Sales | 9 | 3 | Marketing | 1 | 2023 | 4 | Male | 33 | 3 | 1 | Sales Representative | 1 | Married | 1790 | 26956 | 1 | Y | No | 19 | 3 | 1 | 80 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
| 1439 | 0 | 36 | Travel_Rarely | 557 | Sales | 3 | 3 | Medical | 1 | 2024 | 1 | Female | 94 | 2 | 3 | Sales Executive | 4 | Married | 7644 | 12695 | 0 | Y | No | 19 | 3 | 3 | 80 | 2 | 10 | 2 | 3 | 9 | 7 | 3 | 4 |
| 1440 | 0 | 36 | Travel_Frequently | 688 | Research & Development | 4 | 2 | Life Sciences | 1 | 2025 | 4 | Female | 97 | 3 | 2 | Manufacturing Director | 2 | Divorced | 5131 | 9192 | 7 | Y | No | 13 | 3 | 2 | 80 | 3 | 18 | 3 | 3 | 4 | 2 | 0 | 2 |
| 1441 | 0 | 56 | Non-Travel | 667 | Research & Development | 1 | 4 | Life Sciences | 1 | 2026 | 3 | Male | 57 | 3 | 2 | Healthcare Representative | 3 | Divorced | 6306 | 26236 | 1 | Y | No | 21 | 4 | 1 | 80 | 1 | 13 | 2 | 2 | 13 | 12 | 1 | 9 |
| 1442 | 1 | 29 | Travel_Rarely | 1092 | Research & Development | 1 | 4 | Medical | 1 | 2027 | 1 | Male | 36 | 3 | 1 | Research Scientist | 4 | Married | 4787 | 26124 | 9 | Y | Yes | 14 | 3 | 2 | 80 | 3 | 4 | 3 | 4 | 2 | 2 | 2 | 2 |
| 1443 | 0 | 42 | Travel_Rarely | 300 | Research & Development | 2 | 3 | Life Sciences | 1 | 2031 | 1 | Male | 56 | 3 | 5 | Manager | 3 | Married | 18880 | 17312 | 5 | Y | No | 11 | 3 | 1 | 80 | 0 | 24 | 2 | 2 | 22 | 6 | 4 | 14 |
| 1444 | 1 | 56 | Travel_Rarely | 310 | Research & Development | 7 | 2 | Technical Degree | 1 | 2032 | 4 | Male | 72 | 3 | 1 | Laboratory Technician | 3 | Married | 2339 | 3666 | 8 | Y | No | 11 | 3 | 4 | 80 | 1 | 14 | 4 | 1 | 10 | 9 | 9 | 8 |
| 1445 | 0 | 41 | Travel_Rarely | 582 | Research & Development | 28 | 4 | Life Sciences | 1 | 2034 | 1 | Female | 60 | 2 | 4 | Manufacturing Director | 2 | Married | 13570 | 5640 | 0 | Y | No | 23 | 4 | 3 | 80 | 1 | 21 | 3 | 3 | 20 | 7 | 0 | 10 |
| 1446 | 0 | 34 | Travel_Rarely | 704 | Sales | 28 | 3 | Marketing | 1 | 2035 | 4 | Female | 95 | 2 | 2 | Sales Executive | 3 | Married | 6712 | 8978 | 1 | Y | No | 21 | 4 | 4 | 80 | 2 | 8 | 2 | 3 | 8 | 7 | 1 | 7 |
| 1447 | 0 | 36 | Non-Travel | 301 | Sales | 15 | 4 | Marketing | 1 | 2036 | 4 | Male | 88 | 1 | 2 | Sales Executive | 4 | Divorced | 5406 | 10436 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 15 | 4 | 2 | 15 | 12 | 11 | 11 |
| 1448 | 0 | 41 | Travel_Rarely | 930 | Sales | 3 | 3 | Life Sciences | 1 | 2037 | 3 | Male | 57 | 2 | 2 | Sales Executive | 2 | Divorced | 8938 | 12227 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 14 | 5 | 3 | 5 | 4 | 0 | 4 |
| 1449 | 0 | 32 | Travel_Rarely | 529 | Research & Development | 2 | 3 | Technical Degree | 1 | 2038 | 4 | Male | 78 | 3 | 1 | Research Scientist | 1 | Single | 2439 | 11288 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 4 | 4 | 3 | 4 | 2 | 1 | 2 |
| 1450 | 0 | 35 | Travel_Rarely | 1146 | Human Resources | 26 | 4 | Life Sciences | 1 | 2040 | 3 | Female | 31 | 3 | 3 | Human Resources | 4 | Single | 8837 | 16642 | 1 | Y | Yes | 16 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 9 | 0 | 1 | 7 |
| 1451 | 0 | 38 | Travel_Rarely | 345 | Sales | 10 | 2 | Life Sciences | 1 | 2041 | 1 | Female | 100 | 3 | 2 | Sales Executive | 4 | Married | 5343 | 5982 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 10 | 7 | 1 | 9 |
| 1452 | 1 | 50 | Travel_Frequently | 878 | Sales | 1 | 4 | Life Sciences | 1 | 2044 | 2 | Male | 94 | 3 | 2 | Sales Executive | 3 | Divorced | 6728 | 14255 | 7 | Y | No | 12 | 3 | 4 | 80 | 2 | 12 | 3 | 3 | 6 | 3 | 0 | 1 |
| 1453 | 0 | 36 | Travel_Rarely | 1120 | Sales | 11 | 4 | Marketing | 1 | 2045 | 2 | Female | 100 | 2 | 2 | Sales Executive | 4 | Married | 6652 | 14369 | 4 | Y | No | 13 | 3 | 1 | 80 | 1 | 8 | 2 | 2 | 6 | 3 | 0 | 0 |
| 1454 | 0 | 45 | Travel_Rarely | 374 | Sales | 20 | 3 | Life Sciences | 1 | 2046 | 4 | Female | 50 | 3 | 2 | Sales Executive | 3 | Single | 4850 | 23333 | 8 | Y | No | 15 | 3 | 3 | 80 | 0 | 8 | 3 | 3 | 5 | 3 | 0 | 1 |
| 1455 | 0 | 40 | Travel_Rarely | 1322 | Research & Development | 2 | 4 | Life Sciences | 1 | 2048 | 3 | Male | 52 | 2 | 1 | Research Scientist | 3 | Single | 2809 | 2725 | 2 | Y | No | 14 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1456 | 0 | 35 | Travel_Frequently | 1199 | Research & Development | 18 | 4 | Life Sciences | 1 | 2049 | 3 | Male | 80 | 3 | 2 | Healthcare Representative | 3 | Married | 5689 | 24594 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 10 | 2 | 4 | 10 | 2 | 0 | 2 |
| 1457 | 0 | 40 | Travel_Rarely | 1194 | Research & Development | 2 | 4 | Medical | 1 | 2051 | 3 | Female | 98 | 3 | 1 | Research Scientist | 3 | Married | 2001 | 12549 | 2 | Y | No | 14 | 3 | 2 | 80 | 3 | 20 | 2 | 3 | 5 | 3 | 0 | 2 |
| 1458 | 0 | 35 | Travel_Rarely | 287 | Research & Development | 1 | 4 | Life Sciences | 1 | 2052 | 3 | Female | 62 | 1 | 1 | Research Scientist | 4 | Married | 2977 | 8952 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 4 | 5 | 3 | 4 | 3 | 1 | 1 |
| 1459 | 0 | 29 | Travel_Rarely | 1378 | Research & Development | 13 | 2 | Other | 1 | 2053 | 4 | Male | 46 | 2 | 2 | Laboratory Technician | 2 | Married | 4025 | 23679 | 4 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 4 | 3 | 0 | 3 |
| 1460 | 0 | 29 | Travel_Rarely | 468 | Research & Development | 28 | 4 | Medical | 1 | 2054 | 4 | Female | 73 | 2 | 1 | Research Scientist | 1 | Single | 3785 | 8489 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 3 | 1 | 5 | 4 | 0 | 4 |
| 1461 | 1 | 50 | Travel_Rarely | 410 | Sales | 28 | 3 | Marketing | 1 | 2055 | 4 | Male | 39 | 2 | 3 | Sales Executive | 1 | Divorced | 10854 | 16586 | 4 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 20 | 3 | 3 | 3 | 2 | 2 | 0 |
| 1462 | 0 | 39 | Travel_Rarely | 722 | Sales | 24 | 1 | Marketing | 1 | 2056 | 2 | Female | 60 | 2 | 4 | Sales Executive | 4 | Married | 12031 | 8828 | 0 | Y | No | 11 | 3 | 1 | 80 | 1 | 21 | 2 | 2 | 20 | 9 | 9 | 6 |
| 1463 | 0 | 31 | Non-Travel | 325 | Research & Development | 5 | 3 | Medical | 1 | 2057 | 2 | Male | 74 | 3 | 2 | Manufacturing Director | 1 | Single | 9936 | 3787 | 0 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 9 | 4 | 1 | 7 |
| 1464 | 0 | 26 | Travel_Rarely | 1167 | Sales | 5 | 3 | Other | 1 | 2060 | 4 | Female | 30 | 2 | 1 | Sales Representative | 3 | Single | 2966 | 21378 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 4 | 2 | 0 | 0 |
| 1465 | 0 | 36 | Travel_Frequently | 884 | Research & Development | 23 | 2 | Medical | 1 | 2061 | 3 | Male | 41 | 4 | 2 | Laboratory Technician | 4 | Married | 2571 | 12290 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 17 | 3 | 3 | 5 | 2 | 0 | 3 |
| 1466 | 0 | 39 | Travel_Rarely | 613 | Research & Development | 6 | 1 | Medical | 1 | 2062 | 4 | Male | 42 | 2 | 3 | Healthcare Representative | 1 | Married | 9991 | 21457 | 4 | Y | No | 15 | 3 | 1 | 80 | 1 | 9 | 5 | 3 | 7 | 7 | 1 | 7 |
| 1467 | 0 | 27 | Travel_Rarely | 155 | Research & Development | 4 | 3 | Life Sciences | 1 | 2064 | 2 | Male | 87 | 4 | 2 | Manufacturing Director | 2 | Married | 6142 | 5174 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 6 | 0 | 3 | 6 | 2 | 0 | 3 |
| 1468 | 0 | 49 | Travel_Frequently | 1023 | Sales | 2 | 3 | Medical | 1 | 2065 | 4 | Male | 63 | 2 | 2 | Sales Executive | 2 | Married | 5390 | 13243 | 2 | Y | No | 14 | 3 | 4 | 80 | 0 | 17 | 3 | 2 | 9 | 6 | 0 | 8 |
| 1469 | 0 | 34 | Travel_Rarely | 628 | Research & Development | 8 | 3 | Medical | 1 | 2068 | 2 | Male | 82 | 4 | 2 | Laboratory Technician | 3 | Married | 4404 | 10228 | 2 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 3 | 4 | 4 | 3 | 1 | 2 |
def preprocessing(X):
import pandas as pd
cat = []
con = []
for i in X.columns:
if(X[i].dtypes =='object'):
cat.append(i)
else:
con.append(i)
X1 = pd.get_dummies(X[cat])
from sklearn.preprocessing import StandardScaler
ss = StandardScaler()
X2 = pd.DataFrame(ss.fit_transform(X[con]),columns=con)
X3 = X2.join(X1)
return X3
for i in A.columns:
print(i, len(A[i].unique()))
Attrition 2 Age 43 BusinessTravel 3 DailyRate 886 Department 3 DistanceFromHome 29 Education 5 EducationField 6 EmployeeCount 1 EmployeeNumber 1470 EnvironmentSatisfaction 4 Gender 2 HourlyRate 71 JobInvolvement 4 JobLevel 5 JobRole 9 JobSatisfaction 4 MaritalStatus 3 MonthlyIncome 1349 MonthlyRate 1427 NumCompaniesWorked 10 Over18 1 OverTime 2 PercentSalaryHike 15 PerformanceRating 2 RelationshipSatisfaction 4 StandardHours 1 StockOptionLevel 4 TotalWorkingYears 40 TrainingTimesLastYear 7 WorkLifeBalance 4 YearsAtCompany 37 YearsInCurrentRole 19 YearsSinceLastPromotion 16 YearsWithCurrManager 18
A.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 1470 entries, 0 to 1469 Data columns (total 35 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Attrition 1470 non-null int64 1 Age 1470 non-null int64 2 BusinessTravel 1470 non-null object 3 DailyRate 1470 non-null int64 4 Department 1470 non-null object 5 DistanceFromHome 1470 non-null int64 6 Education 1470 non-null int64 7 EducationField 1470 non-null object 8 EmployeeCount 1470 non-null int64 9 EmployeeNumber 1470 non-null int64 10 EnvironmentSatisfaction 1470 non-null int64 11 Gender 1470 non-null object 12 HourlyRate 1470 non-null int64 13 JobInvolvement 1470 non-null int64 14 JobLevel 1470 non-null int64 15 JobRole 1470 non-null object 16 JobSatisfaction 1470 non-null int64 17 MaritalStatus 1470 non-null object 18 MonthlyIncome 1470 non-null int64 19 MonthlyRate 1470 non-null int64 20 NumCompaniesWorked 1470 non-null int64 21 Over18 1470 non-null object 22 OverTime 1470 non-null object 23 PercentSalaryHike 1470 non-null int64 24 PerformanceRating 1470 non-null int64 25 RelationshipSatisfaction 1470 non-null int64 26 StandardHours 1470 non-null int64 27 StockOptionLevel 1470 non-null int64 28 TotalWorkingYears 1470 non-null int64 29 TrainingTimesLastYear 1470 non-null int64 30 WorkLifeBalance 1470 non-null int64 31 YearsAtCompany 1470 non-null int64 32 YearsInCurrentRole 1470 non-null int64 33 YearsSinceLastPromotion 1470 non-null int64 34 YearsWithCurrManager 1470 non-null int64 dtypes: int64(27), object(8) memory usage: 402.1+ KB
import seaborn as sns
import matplotlib.pyplot as plt
x = 1
plt.figure(figsize=(40,40))
for i in A.columns:
if A[i].dtypes == 'object':
plt.subplot(7,5,x)
sns.countplot(A[i])
x = x + 1
else:
plt.subplot(7,5,x)
sns.distplot(A[i])
x = x+1
#sns.pairplot(A)
A.columns
Index(['Attrition', 'Age', 'BusinessTravel', 'DailyRate', 'Department',
'DistanceFromHome', 'Education', 'EducationField', 'EmployeeCount',
'EmployeeNumber', 'EnvironmentSatisfaction', 'Gender', 'HourlyRate',
'JobInvolvement', 'JobLevel', 'JobRole', 'JobSatisfaction',
'MaritalStatus', 'MonthlyIncome', 'MonthlyRate', 'NumCompaniesWorked',
'Over18', 'OverTime', 'PercentSalaryHike', 'PerformanceRating',
'RelationshipSatisfaction', 'StandardHours', 'StockOptionLevel',
'TotalWorkingYears', 'TrainingTimesLastYear', 'WorkLifeBalance',
'YearsAtCompany', 'YearsInCurrentRole', 'YearsSinceLastPromotion',
'YearsWithCurrManager'],
dtype='object')
X = A.drop(['EmployeeNumber', "MonthlyRate",'Over18', 'StandardHours', 'EmployeeCount'], axis=1)
Y = A[["MonthlyRate"]]
import seaborn as sns
import matplotlib.pyplot as plt
x = 1
plt.figure(figsize=(30,30))
for i in X.columns:
if X[i].dtypes == 'object':
plt.subplot(7,5,x)
sns.boxplot(X[i],Y['MonthlyRate'])
x = x + 1
else:
plt.subplot(7,5,x)
sns.scatterplot(X[i], Y['MonthlyRate'])
x=x+1
X = preprocessing(X)
X
| Attrition | Age | DailyRate | DistanceFromHome | Education | EnvironmentSatisfaction | HourlyRate | JobInvolvement | JobLevel | JobSatisfaction | MonthlyIncome | NumCompaniesWorked | PercentSalaryHike | PerformanceRating | RelationshipSatisfaction | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | BusinessTravel_Non-Travel | BusinessTravel_Travel_Frequently | BusinessTravel_Travel_Rarely | Department_Human Resources | Department_Research & Development | Department_Sales | EducationField_Human Resources | EducationField_Life Sciences | EducationField_Marketing | EducationField_Medical | EducationField_Other | EducationField_Technical Degree | Gender_Female | Gender_Male | JobRole_Healthcare Representative | JobRole_Human Resources | JobRole_Laboratory Technician | JobRole_Manager | JobRole_Manufacturing Director | JobRole_Research Director | JobRole_Research Scientist | JobRole_Sales Executive | JobRole_Sales Representative | MaritalStatus_Divorced | MaritalStatus_Married | MaritalStatus_Single | OverTime_No | OverTime_Yes | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2.280906 | 0.446350 | 0.742527 | -1.010909 | -0.891688 | -0.660531 | 1.383138 | 0.379672 | -0.057788 | 1.153254 | -0.108350 | 2.125136 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | -0.421642 | -2.171982 | -2.493820 | -0.164613 | -0.063296 | -0.679146 | 0.245834 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1 | -0.438422 | 1.322365 | -1.297775 | -0.147150 | -1.868426 | 0.254625 | -0.240677 | -1.026167 | -0.057788 | -0.660853 | -0.291719 | -0.678049 | 2.129306 | 2.346151 | 1.191438 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 0.764998 | -0.368715 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 2 | 2.280906 | 0.008343 | 1.414363 | -0.887515 | -0.891688 | 1.169781 | 1.284725 | -1.026167 | -0.961486 | 0.246200 | -0.937654 | 1.324226 | -0.057267 | -0.426230 | -0.658973 | -0.932014 | -0.550208 | 0.155707 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 3 | -0.438422 | -0.429664 | 1.461466 | -0.764121 | 1.061787 | 1.169781 | -0.486709 | 0.379672 | -0.961486 | 0.246200 | -0.763634 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.421642 | 0.155707 | 0.338096 | 0.161947 | 0.764998 | 0.252146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 4 | -0.438422 | -1.086676 | -0.524295 | -0.887515 | -1.868426 | -1.575686 | -1.274014 | 0.379672 | -0.961486 | -0.660853 | -0.644858 | 2.525591 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 5 | -0.438422 | -0.539166 | 0.502054 | -0.887515 | -0.891688 | 1.169781 | 0.645041 | 0.379672 | -0.961486 | 1.153254 | -0.729850 | -1.078504 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.421642 | -0.620189 | -1.077862 | -0.001333 | 0.764998 | 0.252146 | 0.526188 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 6 | -0.438422 | 2.417384 | 1.292887 | -0.764121 | 0.085049 | 0.254625 | 0.743454 | 1.785511 | -0.961486 | -1.567907 | -0.814416 | 0.523316 | 1.309341 | 2.346151 | -1.584178 | 2.589994 | 0.092620 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 7 | -0.438422 | -0.758170 | 1.377177 | 1.827158 | -1.868426 | 1.169781 | 0.054562 | 0.379672 | -0.961486 | 0.246200 | -0.809529 | -0.678049 | 1.855984 | 2.346151 | -0.658973 | 0.241988 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 8 | -0.438422 | 0.117845 | -1.453958 | 1.703764 | 0.085049 | 1.169781 | -1.077188 | -1.026167 | 0.845911 | 0.246200 | 0.642338 | -1.078504 | 1.582663 | 2.346151 | -0.658973 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.325228 | 0.764998 | -0.368715 | 1.086895 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 9 | -0.438422 | -0.101159 | 1.230910 | 2.197341 | 0.085049 | 0.254625 | 1.383138 | 0.379672 | -0.057788 | 0.246200 | -0.268983 | 1.324226 | -0.603911 | -0.426230 | -0.658973 | 1.415991 | 0.735447 | 0.155707 | -1.077862 | -0.001333 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 10 | -0.438422 | -0.210661 | 0.016150 | 0.840004 | 0.085049 | -1.575686 | 0.891073 | 1.785511 | -0.961486 | -0.660853 | -0.866261 | -1.078504 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -0.678774 | 1.707500 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 11 | -0.438422 | -0.867672 | -1.610141 | 0.716610 | -0.891688 | 1.169781 | -0.831155 | -1.026167 | -0.057788 | 0.246200 | -0.490811 | -1.078504 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | 0.325228 | 0.212802 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 12 | -0.438422 | -0.648668 | -0.328446 | 2.073946 | -1.868426 | -1.575686 | -1.716872 | 0.379672 | -0.961486 | 0.246200 | -0.763209 | -0.678049 | 0.489376 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | -1.396086 | -1.077862 | -0.327893 | -0.615492 | 0.562576 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 13 | -0.438422 | -0.320163 | 1.347427 | 1.210187 | -0.891688 | -0.660531 | 1.333932 | 0.379672 | -0.961486 | 1.153254 | -0.816328 | -1.078504 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -1.064470 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 14 | 2.280906 | -0.977174 | -1.734097 | 1.827158 | 0.085049 | 0.254625 | -0.781948 | -1.026167 | -0.961486 | 0.246200 | -0.950827 | 0.923771 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.678774 | 0.931603 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 15 | -0.438422 | -0.867672 | 1.454029 | 1.456975 | 1.061787 | -0.660531 | -0.732742 | 1.785511 | 0.845911 | -1.567907 | 0.738803 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | -1.396086 | 0.338096 | 0.488508 | 1.317193 | 1.804297 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 16 | -0.438422 | -0.539166 | -1.161424 | -0.517332 | -0.891688 | -1.575686 | 0.694247 | 1.785511 | -0.961486 | -0.660853 | -0.680979 | -1.078504 | -0.877232 | -0.426230 | 1.191438 | 1.415991 | -0.550208 | 1.707500 | -1.077862 | -0.164613 | -0.615492 | -0.679146 | 0.245834 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 17 | -0.438422 | -1.634185 | 0.794588 | 0.840004 | -0.891688 | 1.169781 | 1.481551 | 1.785511 | -0.961486 | 1.153254 | -0.758109 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | 1.415991 | -1.321601 | -0.620189 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 18 | -0.438422 | 1.760373 | 1.032581 | -0.887515 | 1.061787 | -1.575686 | 0.595834 | -1.026167 | 1.749610 | 1.153254 | 1.896174 | -0.277594 | 0.216054 | -0.426230 | 0.266233 | -0.932014 | 2.535365 | 0.155707 | 0.338096 | 2.937711 | 1.041095 | 0.252146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 19 | -0.438422 | 0.117845 | -1.069697 | -0.887515 | 0.085049 | 1.169781 | -1.027981 | 0.379672 | -0.961486 | 1.153254 | -0.543718 | 0.923771 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 20 | -0.438422 | -1.415181 | -0.321008 | 0.223033 | -0.891688 | -1.575686 | 1.481551 | 1.785511 | -0.057788 | 0.246200 | -0.529482 | -1.078504 | 0.762698 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | 1.707500 | -1.077862 | -0.491174 | -0.615492 | -0.368715 | -0.314873 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 21 | 2.280906 | -0.101159 | 1.030102 | -0.023755 | 1.061787 | 0.254625 | 0.792660 | -1.026167 | -0.961486 | -1.567907 | -0.657819 | 1.724681 | 2.129306 | 2.346151 | -0.658973 | -0.932014 | -0.164511 | 0.931603 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 22 | -0.438422 | -0.320163 | -0.950700 | -0.270544 | 1.061787 | -1.575686 | -0.634329 | 0.379672 | 0.845911 | -0.660853 | 1.166735 | -1.078504 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | 0.221185 | 0.931603 | 0.338096 | 0.815068 | 0.488900 | -0.058285 | 1.927956 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 23 | -0.438422 | -1.743687 | -1.020115 | 0.716610 | -0.891688 | 0.254625 | 1.481551 | 0.379672 | -0.961486 | 1.153254 | -1.119960 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -1.450167 | 2.483396 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 24 | 2.280906 | -0.320163 | -0.256552 | -0.393938 | -1.868426 | -0.660531 | 0.841867 | 0.379672 | -0.961486 | -1.567907 | -0.752797 | -0.277594 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 25 | -0.438422 | 1.760373 | 1.188765 | -0.517332 | 0.085049 | 0.254625 | -0.388296 | 0.379672 | 2.653309 | 0.246200 | 2.675333 | 0.523316 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | 1.892537 | 0.155707 | -1.077862 | 1.141629 | 2.421585 | 0.562576 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 26 | 2.280906 | -0.539166 | 0.799546 | 0.840004 | -1.868426 | -0.660531 | 0.300595 | -2.432006 | -0.961486 | -1.567907 | -0.549030 | -0.678049 | 1.855984 | 2.346151 | -0.658973 | -0.932014 | -0.164511 | 1.707500 | 0.338096 | 0.488508 | -0.615492 | 1.183437 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 27 | -0.438422 | 0.555852 | -0.276384 | -0.147150 | 1.061787 | 0.254625 | -0.880361 | 0.379672 | -0.057788 | -0.660853 | 0.068433 | -1.078504 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.325228 | 0.764998 | 0.562576 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 28 | -0.438422 | 0.774856 | -0.806912 | -0.270544 | 1.061787 | -1.575686 | -1.175601 | -1.026167 | 0.845911 | 1.153254 | 0.795747 | 0.122861 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | 1.635406 | 0.931603 | 0.338096 | 2.447870 | 0.488900 | 0.873006 | 3.610079 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 29 | -0.438422 | 0.993860 | -0.241677 | -0.887515 | 1.061787 | -0.660531 | 0.841867 | 0.379672 | 2.653309 | -1.567907 | 2.644099 | 0.122861 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 1.378275 | -0.620189 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 30 | -0.438422 | -0.429664 | 0.301246 | -0.887515 | 0.085049 | 0.254625 | 0.595834 | 0.379672 | -0.961486 | 1.153254 | -0.851387 | 0.523316 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.550208 | 0.155707 | 0.338096 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 31 | -0.438422 | 0.774856 | 1.627566 | 0.099639 | 1.061787 | 1.169781 | -1.224807 | 0.379672 | -0.057788 | 1.153254 | -0.008060 | -0.277594 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | 1.707500 | 1.754054 | -0.491174 | -0.615492 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 32 | -0.438422 | -0.758170 | -1.679556 | -0.023755 | -0.891688 | 1.169781 | 0.841867 | -1.026167 | -0.961486 | 0.246200 | -0.913006 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | -0.164511 | 1.707500 | 0.338096 | 0.488508 | -1.167687 | -0.368715 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 33 | 2.280906 | 0.227347 | 0.229352 | -0.517332 | 0.085049 | 1.169781 | -0.486709 | 0.379672 | -0.057788 | 1.153254 | -0.938504 | 0.122861 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 0.992578 | 2.483396 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 34 | 2.280906 | -1.415181 | 0.026066 | -1.010909 | 0.085049 | -0.660531 | -0.240677 | 0.379672 | -0.961486 | 1.153254 | -0.894521 | -0.277594 | 0.216054 | -0.426230 | -1.584178 | 0.241988 | -0.678774 | -0.620189 | -1.077862 | -0.817734 | -1.167687 | -0.058285 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 35 | -0.438422 | 0.665354 | 1.166453 | -0.887515 | -0.891688 | 1.169781 | 0.300595 | 1.785511 | -0.961486 | 0.246200 | -0.819728 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 1.415991 | -0.678774 | 0.155707 | -1.077862 | -0.327893 | -0.339394 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 36 | 2.280906 | 1.431867 | 0.164896 | -0.764121 | -0.891688 | -1.575686 | 0.989486 | -1.026167 | -0.961486 | 0.246200 | -0.811654 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | -1.064470 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 |
| 37 | -0.438422 | -0.210661 | 0.216957 | -0.887515 | 0.085049 | 1.169781 | 1.530758 | 0.379672 | -0.961486 | 1.153254 | -0.953802 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | -1.193036 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 38 | -0.438422 | -0.101159 | 0.122751 | -0.517332 | 1.061787 | -0.660531 | 0.792660 | -1.026167 | -0.961486 | -1.567907 | -0.655270 | 2.525591 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | 0.155707 | 1.754054 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 39 | -0.438422 | -0.429664 | 0.839212 | -1.010909 | 0.085049 | 0.254625 | -1.175601 | 1.785511 | -0.057788 | -1.567907 | -0.239449 | -0.277594 | 1.036019 | -0.426230 | -1.584178 | 1.415991 | -0.164511 | 0.155707 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 40 | -0.438422 | -0.210661 | -0.839141 | -0.640727 | -0.891688 | 0.254625 | 0.448214 | 0.379672 | -0.961486 | 1.153254 | -0.967188 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 41 | -0.438422 | -1.086676 | 1.084643 | -0.887515 | 1.061787 | 1.169781 | -1.618459 | 0.379672 | -0.961486 | -1.567907 | -0.884322 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -1.321601 | 2.483396 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 42 | 2.280906 | -1.196177 | 1.374698 | 1.950552 | 0.085049 | -1.575686 | -0.880361 | -2.432006 | -0.961486 | 0.246200 | -0.894521 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -1.321601 | -0.620189 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 43 | -0.438422 | -1.086676 | 0.474783 | -0.147150 | 0.085049 | 1.169781 | -1.421633 | 0.379672 | 0.845911 | 0.246200 | 0.472355 | -0.678049 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | -2.171982 | 0.338096 | 0.325228 | 1.041095 | -0.368715 | 0.806541 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 44 | -0.438422 | -0.758170 | -0.202011 | -1.010909 | -0.891688 | 0.254625 | -0.388296 | 0.379672 | -0.057788 | 1.153254 | -0.529482 | -0.678049 | 2.129306 | 2.346151 | 1.191438 | -0.932014 | 0.092620 | -0.620189 | 0.338096 | 0.815068 | 1.041095 | 0.252146 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 45 | 2.280906 | 0.446350 | 1.382135 | 0.346427 | 0.085049 | -0.660531 | -0.831155 | 0.379672 | 2.653309 | 0.246200 | 2.771161 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 1.506840 | -2.171982 | 0.338096 | 2.447870 | 2.973780 | 3.977310 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 46 | -0.438422 | -0.320163 | 0.650800 | 1.703764 | 1.061787 | -0.660531 | 0.300595 | 0.379672 | -0.057788 | 0.246200 | -0.411132 | -1.078504 | 1.309341 | 2.346151 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.325228 | 0.212802 | 1.804297 | 0.806541 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 47 | -0.438422 | 0.008343 | -0.977970 | 1.210187 | -0.891688 | -0.660531 | 0.349801 | 0.379672 | -0.961486 | -0.660853 | -0.739624 | 0.523316 | 1.582663 | 2.346151 | -1.584178 | -0.932014 | -0.421642 | -1.396086 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 48 | -0.438422 | 0.993860 | 1.012749 | -0.517332 | 1.061787 | -1.575686 | 1.579964 | 0.379672 | -0.057788 | 1.153254 | -0.155307 | 0.523316 | 1.582663 | 2.346151 | 0.266233 | -0.932014 | 0.349751 | 0.931603 | 0.338096 | 0.325228 | 0.488900 | -0.679146 | 1.086895 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 49 | -0.438422 | -0.210661 | 1.057373 | -0.147150 | -1.868426 | 1.169781 | -1.470840 | 1.785511 | -0.961486 | 1.153254 | -0.899620 | -0.678049 | 1.036019 | -0.426230 | 1.191438 | -0.932014 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 50 | 2.280906 | 1.212863 | -0.437526 | -1.010909 | -0.891688 | -1.575686 | 1.579964 | -1.026167 | 0.845911 | 0.246200 | -0.238386 | 2.525591 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | 1.506840 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 51 | 2.280906 | -0.977174 | 1.565588 | -0.517332 | 1.061787 | 0.254625 | -0.781948 | 0.379672 | -0.961486 | 0.246200 | -0.650595 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -1.193036 | 0.155707 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 52 | -0.438422 | 0.774856 | 1.699460 | -1.010909 | 2.038524 | -0.660531 | 0.448214 | 0.379672 | -0.057788 | -1.567907 | -0.222876 | 0.923771 | 1.582663 | 2.346151 | 0.266233 | 0.241988 | -0.293077 | -0.620189 | -1.077862 | -0.491174 | -0.339394 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 53 | -0.438422 | -0.210661 | 0.730131 | 0.223033 | -0.891688 | 0.254625 | 0.645041 | -1.026167 | 0.845911 | -1.567907 | 0.718405 | -0.277594 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | -0.491174 | -1.167687 | -0.058285 | -0.314873 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 54 | -0.438422 | -1.196177 | 1.587900 | 1.703764 | 0.085049 | 0.254625 | -0.929568 | -1.026167 | -0.057788 | 1.153254 | -0.498460 | 1.724681 | 1.036019 | -0.426230 | 0.266233 | 0.241988 | -0.807339 | -0.620189 | -1.077862 | -0.817734 | -0.615492 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 55 | -0.438422 | -0.429664 | -0.712706 | -1.010909 | -0.891688 | -1.575686 | 1.579964 | 0.379672 | 0.845911 | 1.153254 | 1.477804 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | 0.478316 | -1.396086 | 0.338096 | 1.304909 | 2.697683 | 1.804297 | 2.208310 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 56 | -0.438422 | -0.210661 | 0.125230 | 1.086793 | 2.038524 | -0.660531 | 0.251388 | 0.379672 | 0.845911 | -1.567907 | 0.545235 | -0.678049 | 1.855984 | 2.346151 | 1.191438 | 0.241988 | -0.293077 | 0.155707 | -1.077862 | 0.325228 | 1.041095 | -0.368715 | 1.086895 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 57 | -0.438422 | -0.210661 | 0.841691 | 1.703764 | 1.061787 | 0.254625 | -1.766079 | 0.379672 | -0.961486 | -1.567907 | -0.528845 | 0.122861 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | -0.935905 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 58 | -0.438422 | -0.648668 | -0.365632 | -0.270544 | 1.061787 | 1.169781 | -0.880361 | 0.379672 | -0.057788 | 1.153254 | -0.124923 | 0.122861 | 1.855984 | 2.346151 | 1.191438 | 0.241988 | -0.164511 | 0.155707 | -1.077862 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 59 | -0.438422 | 0.008343 | 0.774755 | -1.010909 | 1.061787 | -1.575686 | -0.732742 | -1.026167 | -0.057788 | 0.246200 | -0.108350 | -0.678049 | 0.762698 | -0.426230 | 0.266233 | 0.241988 | -0.550208 | -0.620189 | 1.754054 | -0.001333 | 0.212802 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 60 | -0.438422 | -0.539166 | -0.930867 | -1.010909 | 0.085049 | -1.575686 | -1.618459 | 0.379672 | -0.057788 | 1.153254 | -0.072441 | -0.678049 | 1.855984 | 2.346151 | -0.658973 | 0.241988 | -0.293077 | 0.155707 | 0.338096 | 0.325228 | 1.041095 | 1.493867 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 61 | -0.438422 | 0.117845 | -0.370590 | 2.444129 | 2.038524 | 1.169781 | -0.781948 | 0.379672 | -0.057788 | 1.153254 | -0.870510 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | -0.339394 | 2.114728 | 1.367249 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 62 | -0.438422 | 1.431867 | 0.462388 | -0.270544 | -0.891688 | -0.660531 | -1.126394 | -1.026167 | 2.653309 | 0.246200 | 2.600116 | 0.923771 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | 2.278234 | -0.620189 | -1.077862 | 3.264271 | -0.339394 | 3.356449 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 63 | -0.438422 | 2.417384 | 1.568068 | 1.950552 | 0.085049 | -1.575686 | 1.629171 | 0.379672 | 0.845911 | -1.567907 | 0.240965 | 1.724681 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 2.149668 | 0.155707 | -1.077862 | 2.284590 | 3.249878 | 1.493867 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 64 | -0.438422 | -0.101159 | 1.042498 | -0.147150 | 0.085049 | 0.254625 | -0.339090 | 0.379672 | 0.845911 | 0.246200 | 0.763450 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | 2.589994 | 0.735447 | -0.620189 | 0.338096 | 1.631469 | 2.697683 | 3.046019 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 65 | -0.438422 | 1.979376 | 0.083085 | -0.147150 | 0.085049 | 1.169781 | -1.618459 | 0.379672 | 1.749610 | 0.246200 | 1.753601 | -0.277594 | -0.330589 | -0.426230 | 0.266233 | 2.589994 | 1.249709 | -0.620189 | 0.338096 | -0.327893 | -1.167687 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 66 | -0.438422 | -0.101159 | 0.973083 | 0.223033 | 0.085049 | -0.660531 | 1.432345 | -1.026167 | -0.057788 | -0.660853 | -0.000835 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.164613 | 0.212802 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 67 | -0.438422 | 0.884358 | 1.330074 | -0.270544 | 0.085049 | -0.660531 | -0.339090 | 0.379672 | 0.845911 | -1.567907 | 0.684408 | -0.277594 | 0.489376 | -0.426230 | 0.266233 | 0.241988 | 1.763972 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 68 | -0.438422 | -0.210661 | -0.343320 | -1.010909 | 0.085049 | -0.660531 | 0.645041 | 0.379672 | -0.961486 | -1.567907 | -0.915556 | 0.523316 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | -0.620189 | -1.077862 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 69 | 2.280906 | -0.101159 | -1.201090 | -0.023755 | 0.085049 | 1.169781 | 0.645041 | -1.026167 | -0.961486 | 0.246200 | -0.661856 | -1.078504 | 0.489376 | -0.426230 | -1.584178 | 0.241988 | -1.193036 | -2.171982 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 70 | -0.438422 | 2.417384 | 1.047456 | -1.010909 | -1.868426 | -1.575686 | -0.437503 | -1.026167 | -0.057788 | 0.246200 | -0.218838 | 1.724681 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 1.121144 | -0.620189 | -1.077862 | -0.491174 | -0.339394 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 71 | -0.438422 | -0.867672 | 1.302804 | -0.887515 | 0.085049 | 0.254625 | 0.497421 | 0.379672 | -0.961486 | -0.660853 | -0.807404 | -1.078504 | 2.129306 | 2.346151 | 1.191438 | 0.241988 | -0.678774 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 72 | -0.438422 | -0.648668 | 0.692944 | -1.010909 | 1.061787 | 0.254625 | 1.038693 | 0.379672 | -0.961486 | -0.660853 | -0.850325 | -0.678049 | 0.489376 | -0.426230 | -0.658973 | -0.932014 | -1.321601 | 0.931603 | 0.338096 | -0.981014 | -0.891589 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 73 | -0.438422 | -0.539166 | -0.630896 | -1.010909 | 0.085049 | -0.660531 | 0.005356 | 0.379672 | -0.057788 | -0.660853 | -0.060117 | -0.678049 | 0.489376 | -0.426230 | -0.658973 | 1.415991 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | -0.063296 | -0.679146 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 74 | -0.438422 | -0.101159 | -1.662203 | -0.393938 | 0.085049 | -0.660531 | -0.535916 | 1.785511 | -0.961486 | 1.153254 | -0.736224 | 0.122861 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | -0.807339 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 75 | -0.438422 | -0.648668 | -0.140034 | -0.147150 | 1.061787 | 0.254625 | -0.240677 | 0.379672 | -0.057788 | 1.153254 | -0.441729 | -0.678049 | 2.129306 | 2.346151 | 1.191438 | -0.932014 | -0.035946 | -0.620189 | 0.338096 | 0.651788 | 0.764998 | -0.368715 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 76 | -0.438422 | -0.210661 | -0.065661 | -1.010909 | 1.061787 | 0.254625 | -1.667666 | -1.026167 | -0.057788 | -1.567907 | -0.465526 | -1.078504 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | 0.606882 | -0.620189 | 0.338096 | 1.304909 | 2.421585 | -0.058285 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 77 | -0.438422 | 0.884358 | -1.510977 | -0.393938 | 1.061787 | 1.169781 | -0.683535 | 0.379672 | 0.845911 | -1.567907 | 1.432546 | 0.523316 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | 0.735447 | 0.155707 | 1.754054 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 78 | -0.438422 | 0.008343 | -1.005241 | -0.270544 | 1.061787 | -1.575686 | -1.766079 | 0.379672 | 0.845911 | 0.246200 | 1.521574 | 0.523316 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | 0.606882 | 0.155707 | 1.754054 | -0.327893 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 79 | -0.438422 | 0.993860 | 0.353307 | -0.517332 | -0.891688 | -0.660531 | 0.694247 | 0.379672 | -0.057788 | -0.660853 | -0.314879 | 2.125136 | 1.855984 | 2.346151 | 1.191438 | 0.241988 | 0.606882 | -0.620189 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 80 | -0.438422 | -0.758170 | 0.122751 | -1.010909 | -1.868426 | 1.169781 | -0.535916 | -1.026167 | -0.057788 | 1.153254 | -0.292569 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 1.415991 | -0.164511 | -1.396086 | -1.077862 | 0.488508 | 1.041095 | 0.252146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 81 | -0.438422 | -0.210661 | 1.020186 | -1.010909 | 0.085049 | -0.660531 | -1.766079 | -1.026167 | -0.961486 | 0.246200 | -0.774258 | -0.678049 | 0.762698 | -0.426230 | -1.584178 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.164613 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 82 | -0.438422 | 1.979376 | -1.714264 | -1.010909 | -0.891688 | -1.575686 | 0.202182 | 0.379672 | 0.845911 | 1.153254 | 0.793835 | 0.122861 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | 1.635406 | 0.931603 | 0.338096 | -0.981014 | -1.167687 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 83 | -0.438422 | 0.117845 | -0.568919 | -0.393938 | 0.085049 | -0.660531 | 0.645041 | -2.432006 | -0.057788 | 1.153254 | -0.249435 | 1.724681 | -0.877232 | -0.426230 | 1.191438 | 2.589994 | 0.735447 | 0.155707 | 0.338096 | 0.978348 | 1.869389 | -0.368715 | 1.367249 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 84 | -0.438422 | -0.320163 | 0.868961 | -1.010909 | -0.891688 | -1.575686 | 1.383138 | 0.379672 | -0.057788 | -0.660853 | -0.462764 | -0.678049 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | -0.807339 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 85 | -0.438422 | 2.088878 | 1.481299 | -0.270544 | 0.085049 | 1.169781 | -0.831155 | -2.432006 | 0.845911 | 1.153254 | 0.160861 | 0.523316 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | 3.306758 | 0.155707 | -1.077862 | -0.164613 | -0.063296 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 86 | -0.438422 | -1.524683 | -0.648250 | -0.887515 | -1.868426 | 0.254625 | -0.191470 | 0.379672 | -0.961486 | -1.567907 | -0.888359 | 0.122861 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -1.064470 | 0.155707 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 |
| 87 | -0.438422 | 1.541369 | -0.918472 | -0.023755 | 1.061787 | 1.169781 | 1.481551 | 0.379672 | -0.961486 | 1.153254 | -0.940841 | 0.122861 | 2.129306 | 2.346151 | -0.658973 | 1.415991 | -0.164511 | 0.931603 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 88 | -0.438422 | -0.758170 | -1.275463 | -0.887515 | 0.085049 | 0.254625 | 1.629171 | -1.026167 | -0.057788 | 1.153254 | -0.499523 | -0.678049 | 1.036019 | -0.426230 | -1.584178 | 2.589994 | -0.035946 | 0.155707 | 0.338096 | 0.651788 | 1.593291 | 2.425158 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 89 | 2.280906 | 0.993860 | -0.330925 | -0.023755 | -0.891688 | 0.254625 | -0.093057 | -1.026167 | 0.845911 | 1.153254 | 0.662098 | -0.678049 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | 0.155707 | 0.338096 | 0.325228 | 1.041095 | 0.562576 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 90 | -0.438422 | 0.336849 | -0.675520 | -1.010909 | 1.061787 | 0.254625 | 0.595834 | -1.026167 | 1.749610 | -0.660853 | 1.487365 | -0.678049 | 1.855984 | 2.346151 | 1.191438 | 0.241988 | 1.378275 | 0.155707 | -1.077862 | 2.447870 | -0.339394 | 2.735589 | 1.927956 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 91 | -0.438422 | 1.541369 | -0.422652 | 1.456975 | 1.061787 | 0.254625 | 0.251388 | 0.379672 | -0.057788 | 1.153254 | -0.225638 | -1.078504 | 1.855984 | 2.346151 | 1.191438 | -0.932014 | -0.035946 | -0.620189 | -2.493820 | 0.488508 | 0.764998 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 92 | -0.438422 | -0.758170 | 1.317678 | -0.640727 | -0.891688 | 0.254625 | -0.142264 | -1.026167 | -0.057788 | -0.660853 | -0.274933 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | 2.589994 | -0.035946 | 0.931603 | -1.077862 | 0.651788 | 1.041095 | -0.058285 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 93 | -0.438422 | 0.993860 | -0.407777 | -1.010909 | 0.085049 | 0.254625 | -1.274014 | -1.026167 | 0.845911 | -1.567907 | 0.886051 | -0.277594 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | 1.249709 | 1.707500 | -1.077862 | 0.488508 | 1.317193 | 2.114728 | 0.245834 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 94 | -0.438422 | -0.539166 | 0.720215 | -0.393938 | 1.061787 | -0.660531 | 1.038693 | 0.379672 | -0.057788 | 0.246200 | -0.317216 | -0.678049 | 0.216054 | -0.426230 | -1.584178 | -0.932014 | 0.092620 | -2.171982 | 0.338096 | 0.651788 | 1.041095 | 0.873006 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 95 | -0.438422 | 1.869874 | 1.027623 | -0.887515 | 1.061787 | -1.575686 | -0.289883 | 0.379672 | 0.845911 | 0.246200 | 1.497139 | 2.525591 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | 0.606882 | 1.707500 | -2.493820 | -0.491174 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 96 | -0.438422 | -1.415181 | 1.364781 | -0.764121 | -0.891688 | -1.575686 | -1.618459 | 0.379672 | -0.057788 | 0.246200 | -0.319553 | -1.078504 | 1.582663 | 2.346151 | -1.584178 | 0.241988 | -0.935905 | -0.620189 | -1.077862 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 97 | -0.438422 | -0.977174 | -1.691952 | -0.640727 | 0.085049 | -0.660531 | -1.126394 | 0.379672 | -0.057788 | 0.246200 | -0.484862 | -0.678049 | -0.057267 | -0.426230 | -0.658973 | -0.932014 | -0.807339 | 0.155707 | 1.754054 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 98 | -0.438422 | 2.307882 | -0.298696 | 0.099639 | 1.061787 | 1.169781 | -1.421633 | 0.379672 | 1.749610 | 0.246200 | 1.565770 | -1.078504 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | 3.435323 | -1.396086 | -1.077862 | 4.897073 | 1.593291 | -0.368715 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 99 | -0.438422 | 0.774856 | -0.777163 | 1.703764 | 0.085049 | -0.660531 | 0.054562 | 0.379672 | -0.057788 | -0.660853 | -0.947853 | 0.523316 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | 0.735447 | 0.155707 | 1.754054 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 100 | 2.280906 | 0.008343 | 0.011191 | -0.393938 | 1.061787 | 0.254625 | -0.142264 | 0.379672 | -0.961486 | -1.567907 | -0.941266 | 0.523316 | 1.855984 | 2.346151 | 1.191438 | -0.932014 | -0.550208 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 101 | -0.438422 | -0.539166 | 0.060773 | -1.010909 | -1.868426 | 1.169781 | 0.251388 | 0.379672 | -0.961486 | -1.567907 | -0.753647 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 102 | 2.280906 | -1.853188 | 0.169854 | -0.393938 | 0.085049 | 1.169781 | 0.005356 | -1.026167 | -0.961486 | 1.153254 | -0.760022 | -0.678049 | 0.762698 | -0.426230 | -0.658973 | -0.932014 | -1.321601 | 1.707500 | 0.338096 | -0.981014 | -1.167687 | -0.368715 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 103 | -0.438422 | -0.320163 | -0.340841 | -0.393938 | 1.061787 | -1.575686 | -1.224807 | 0.379672 | -0.057788 | 0.246200 | -0.359924 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | 0.606882 | 0.155707 | 0.338096 | 1.468189 | 2.421585 | -0.058285 | 1.647603 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 104 | -0.438422 | 0.008343 | 0.588822 | -0.887515 | -0.891688 | 0.254625 | 1.678377 | -1.026167 | -0.057788 | 1.153254 | -0.284707 | 0.923771 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | 0.735447 | -0.620189 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 105 | -0.438422 | 2.417384 | 1.530881 | -0.887515 | 1.061787 | 0.254625 | -1.667666 | -1.026167 | 2.653309 | 1.153254 | 2.622214 | 2.525591 | 1.582663 | 2.346151 | 1.191438 | 0.241988 | 2.406799 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 106 | -0.438422 | 1.431867 | 0.774755 | -1.010909 | 0.085049 | -1.575686 | 0.349801 | 0.379672 | 2.653309 | -0.660853 | 2.479428 | 0.122861 | 1.036019 | -0.426230 | -1.584178 | -0.932014 | 2.149668 | -1.396086 | -1.077862 | 0.161947 | -0.339394 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 107 | 2.280906 | -1.305679 | -1.394460 | -0.517332 | 0.085049 | 0.254625 | -0.978775 | -1.026167 | -0.057788 | 0.246200 | -0.161257 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | -1.396086 | 0.338096 | -0.164613 | -0.063296 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 108 | -0.438422 | -1.305679 | 1.183807 | -0.270544 | -1.868426 | 1.169781 | -0.093057 | -1.026167 | -0.961486 | 1.153254 | -0.767883 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 1.415991 | -1.193036 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 109 | -0.438422 | -1.634185 | -0.665604 | 0.716610 | 0.085049 | -0.660531 | -0.339090 | 0.379672 | -0.961486 | 1.153254 | -0.771708 | -0.678049 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | -1.321601 | 1.707500 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 110 | -0.438422 | 1.541369 | 1.620129 | -1.010909 | 1.061787 | -1.575686 | -1.766079 | -1.026167 | 0.845911 | -1.567907 | 0.208456 | 0.122861 | 1.309341 | 2.346151 | 0.266233 | -0.932014 | 1.506840 | -1.396086 | -1.077862 | 0.978348 | 2.145487 | 3.046019 | 1.086895 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 111 | 2.280906 | -0.320163 | -0.358195 | -0.270544 | 0.085049 | -1.575686 | 0.005356 | -2.432006 | -0.057788 | 0.246200 | -0.091139 | -0.678049 | 2.402628 | 2.346151 | 1.191438 | -0.932014 | -0.293077 | 0.155707 | 0.338096 | 0.325228 | 0.764998 | -0.679146 | 0.526188 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 112 | -0.438422 | 1.869874 | -1.637412 | 2.073946 | 0.085049 | 1.169781 | -1.766079 | 1.785511 | 1.749610 | 1.153254 | 2.300096 | -0.277594 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | 1.506840 | 0.155707 | 0.338096 | -0.327893 | -0.339394 | 0.562576 | -0.034520 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 113 | -0.438422 | -1.415181 | 0.804504 | 1.086793 | -1.868426 | -0.660531 | -0.683535 | 0.379672 | -0.961486 | 0.246200 | -0.792318 | -1.078504 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -0.678774 | -0.620189 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 114 | -0.438422 | -0.320163 | 0.566510 | -0.393938 | 1.061787 | 0.254625 | -1.027981 | -1.026167 | -0.057788 | -0.660853 | -0.424518 | 1.324226 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | 0.092620 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 115 | -0.438422 | 0.008343 | 0.958208 | -0.764121 | 0.085049 | 0.254625 | 1.038693 | 0.379672 | 0.845911 | 1.153254 | 0.196557 | -0.277594 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | 0.092620 | 0.155707 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 116 | -0.438422 | -0.320163 | 1.367260 | -0.517332 | 0.085049 | 0.254625 | -1.027981 | -1.026167 | 0.845911 | -1.567907 | 1.089605 | -0.277594 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 0.349751 | 2.483396 | 0.338096 | 0.651788 | 1.593291 | 0.873006 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 117 | -0.438422 | -0.101159 | 1.647399 | 0.223033 | -0.891688 | -0.660531 | 1.284725 | 0.379672 | 0.845911 | 1.153254 | 0.687383 | -1.078504 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | 2.483396 | 0.338096 | 0.325228 | 0.764998 | -0.058285 | 1.086895 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 118 | -0.438422 | -0.101159 | 0.296288 | -0.764121 | -0.891688 | -1.575686 | -1.323220 | 0.379672 | -0.961486 | 1.153254 | -0.779357 | 0.923771 | 1.855984 | 2.346151 | -1.584178 | 0.241988 | -0.550208 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 119 | -0.438422 | 0.665354 | -1.012678 | 2.073946 | -0.891688 | 0.254625 | 1.284725 | 0.379672 | 1.749610 | 1.153254 | 2.221691 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 1.415991 | 1.763972 | 0.155707 | 1.754054 | 2.937711 | 2.145487 | 0.562576 | 2.208310 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 120 | -0.438422 | -0.758170 | 1.263138 | 1.703764 | 0.085049 | -1.575686 | 1.481551 | -2.432006 | -0.961486 | 0.246200 | -0.826527 | -0.678049 | 2.675949 | 2.346151 | 0.266233 | 2.589994 | -0.164511 | -0.620189 | -1.077862 | 0.488508 | 0.764998 | -0.679146 | 1.367249 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 121 | -0.438422 | -0.429664 | -0.130117 | 1.580370 | -0.891688 | 0.254625 | 1.432345 | 0.379672 | -0.057788 | -0.660853 | -0.075840 | -1.078504 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -0.421642 | -0.620189 | 1.754054 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 122 | 2.280906 | 2.088878 | -0.896160 | 0.593216 | 1.061787 | -0.660531 | 0.300595 | 0.379672 | -0.961486 | -0.660853 | -0.327203 | 2.525591 | 0.762698 | -0.426230 | -1.584178 | 2.589994 | -0.550208 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | 0.562576 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 123 | -0.438422 | 1.541369 | -0.293738 | -0.393938 | 0.085049 | -1.575686 | -0.732742 | 0.379672 | 2.653309 | 0.246200 | 2.769461 | 1.724681 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | 1.506840 | 1.707500 | 0.338096 | 2.121310 | 3.802074 | 3.977310 | 3.049371 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 124 | 2.280906 | -0.648668 | -1.372148 | -0.393938 | 1.061787 | -0.660531 | 0.497421 | -2.432006 | -0.057788 | 0.246200 | -0.070316 | 0.523316 | 0.762698 | -0.426230 | -0.658973 | -0.932014 | 0.092620 | 0.155707 | -1.077862 | -0.001333 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 125 | -0.438422 | -1.196177 | 0.095481 | -0.393938 | 0.085049 | 0.254625 | -0.978775 | -1.026167 | -0.961486 | -0.660853 | -0.878585 | -0.678049 | 1.036019 | -0.426230 | 0.266233 | -0.932014 | -0.807339 | 0.155707 | -1.077862 | -0.327893 | -0.063296 | 0.562576 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 126 | 2.280906 | 2.307882 | -1.625016 | 1.703764 | 1.061787 | 1.169781 | 1.383138 | 0.379672 | 0.845911 | 1.153254 | 0.809346 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | 3.692454 | 0.155707 | -1.077862 | 5.386914 | 1.593291 | 3.977310 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 127 | 2.280906 | -1.962690 | -0.680478 | 1.580370 | -1.868426 | 1.169781 | -0.781948 | 0.379672 | -0.961486 | 0.246200 | -1.025832 | -0.678049 | 1.036019 | -0.426230 | 1.191438 | -0.932014 | -1.450167 | -0.620189 | -1.077862 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 128 | -0.438422 | -1.634185 | -0.516857 | -0.887515 | -1.868426 | 0.254625 | 1.678377 | 0.379672 | -0.961486 | 1.153254 | -0.845650 | -1.078504 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | -1.064470 | -0.620189 | 0.338096 | -0.817734 | -0.891589 | -0.058285 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 129 | -0.438422 | 1.322365 | -0.824266 | 1.333581 | 1.061787 | 0.254625 | 1.481551 | 0.379672 | -0.057788 | -1.567907 | 0.013613 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | 0.606882 | -0.620189 | -1.077862 | 1.304909 | 1.869389 | 0.873006 | 1.927956 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 130 | -0.438422 | 0.665354 | 0.383057 | 2.320735 | 0.085049 | -0.660531 | 0.300595 | 1.785511 | -0.961486 | 0.246200 | -0.374798 | 0.523316 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 0.864013 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 131 | -0.438422 | 1.431867 | 0.016150 | 0.346427 | 0.085049 | 0.254625 | 0.546627 | 0.379672 | 0.845911 | 1.153254 | 0.574769 | 0.523316 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 0.606882 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.875581 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 132 | 2.280906 | -0.648668 | -0.645771 | 1.333581 | 0.085049 | -0.660531 | 0.251388 | -2.432006 | -0.057788 | 0.246200 | -0.413044 | 0.122861 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.935905 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 133 | -0.438422 | 0.446350 | -0.001204 | -0.023755 | -1.868426 | 0.254625 | 1.481551 | 0.379672 | 0.845911 | 0.246200 | 0.358254 | 0.122861 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | 0.092620 | -0.620189 | 0.338096 | 0.325228 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 134 | -0.438422 | -1.196177 | 1.369739 | 1.950552 | -1.868426 | 0.254625 | -0.240677 | 0.379672 | -0.961486 | 0.246200 | -0.756622 | -0.678049 | 2.129306 | 2.346151 | 1.191438 | 0.241988 | -0.421642 | 0.155707 | 0.338096 | 0.161947 | 0.764998 | 0.873006 | 0.806541 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 135 | -0.438422 | -0.101159 | -1.453958 | -0.393938 | -0.891688 | -0.660531 | 0.891073 | 0.379672 | -0.057788 | -0.660853 | -0.331877 | 1.324226 | 1.309341 | 2.346151 | 1.191438 | 1.415991 | -0.550208 | -2.171982 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 136 | 2.280906 | 1.541369 | 0.861523 | -0.147150 | 1.061787 | -1.575686 | -0.634329 | -2.432006 | 0.845911 | 1.153254 | 0.881164 | -0.277594 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | 0.864013 | -0.620189 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 137 | -0.438422 | 0.227347 | 1.305283 | -0.640727 | 1.061787 | 1.169781 | -0.929568 | -1.026167 | -0.057788 | 0.246200 | -0.127685 | 0.523316 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 0.735447 | -1.396086 | 1.754054 | 1.304909 | 1.869389 | 0.873006 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 138 | -0.438422 | -1.305679 | 0.388015 | 2.320735 | 0.085049 | -1.575686 | -1.224807 | -1.026167 | -0.057788 | 0.246200 | 0.453869 | -0.277594 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 139 | -0.438422 | -0.758170 | 1.084643 | -0.023755 | 0.085049 | 0.254625 | -0.880361 | 0.379672 | -0.057788 | 1.153254 | -0.033132 | -1.078504 | 1.036019 | -0.426230 | 1.191438 | -0.932014 | 0.092620 | -0.620189 | -2.493820 | 0.651788 | 1.317193 | 0.562576 | 0.806541 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 140 | 2.280906 | -0.539166 | 0.571468 | -0.023755 | 0.085049 | -1.575686 | -1.224807 | 0.379672 | -0.961486 | -1.567907 | -0.489324 | 1.724681 | 1.855984 | 2.346151 | -1.584178 | -0.932014 | -0.164511 | -0.620189 | 1.754054 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 141 | -0.438422 | 0.884358 | 1.273054 | 2.444129 | 0.085049 | 0.254625 | 0.841867 | 0.379672 | -0.961486 | 1.153254 | -0.648258 | 0.923771 | -0.603911 | -0.426230 | -0.658973 | -0.932014 | -0.293077 | -0.620189 | -1.077862 | -0.164613 | 0.212802 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 142 | -0.438422 | 0.117845 | -1.087051 | -0.764121 | 2.038524 | 1.169781 | -1.667666 | 0.379672 | -0.057788 | 0.246200 | -0.464464 | 0.122861 | 1.309341 | 2.346151 | -0.658973 | -0.932014 | 0.992578 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 143 | -0.438422 | -0.758170 | -0.903597 | 1.086793 | 0.085049 | -1.575686 | 0.448214 | 0.379672 | -0.961486 | 0.246200 | -0.822490 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | -0.807339 | 0.931603 | -1.077862 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 144 | -0.438422 | -0.539166 | -0.281343 | -0.023755 | -0.891688 | 1.169781 | -1.520046 | -2.432006 | -0.057788 | 1.153254 | -0.389884 | -1.078504 | 0.489376 | -0.426230 | 1.191438 | 2.589994 | -0.293077 | -0.620189 | 1.754054 | 0.161947 | 0.764998 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 145 | -0.438422 | -0.758170 | -1.491145 | -0.517332 | 0.085049 | 1.169781 | 0.891073 | 0.379672 | -0.961486 | -1.567907 | -0.700952 | 0.923771 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -0.421642 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 146 | -0.438422 | -0.758170 | 1.548235 | -0.887515 | -1.868426 | -0.660531 | -1.520046 | -1.026167 | -0.961486 | 1.153254 | -0.803792 | -1.078504 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 147 | -0.438422 | 0.446350 | 0.135146 | 0.099639 | 0.085049 | 1.169781 | 1.235519 | -1.026167 | 1.749610 | -1.567907 | 2.268862 | 0.523316 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 1.249709 | -0.620189 | -1.077862 | -0.001333 | 0.488900 | 1.493867 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 148 | -0.438422 | 0.446350 | 0.323558 | -0.023755 | 1.061787 | 0.254625 | 1.383138 | 0.379672 | -0.961486 | -1.567907 | -0.906207 | -0.277594 | 1.582663 | 2.346151 | 1.191438 | 0.241988 | -0.550208 | -0.620189 | 0.338096 | -0.327893 | -1.167687 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 149 | -0.438422 | -1.962690 | 0.938376 | -0.764121 | -1.868426 | -0.660531 | 0.645041 | 0.379672 | -0.961486 | -0.660853 | -1.066628 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 150 | -0.438422 | 0.336849 | 1.468903 | 2.073946 | 0.085049 | -0.660531 | -0.585122 | 0.379672 | -0.057788 | -0.660853 | -0.190791 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | 1.121144 | -0.620189 | 0.338096 | 2.121310 | 0.764998 | -0.058285 | 2.488664 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 151 | -0.438422 | -0.210661 | -0.348278 | -1.010909 | 2.038524 | 0.254625 | 1.383138 | 0.379672 | 0.845911 | -0.660853 | 0.168298 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | 1.415991 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 1.041095 | -0.679146 | 0.526188 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 152 | -0.438422 | 1.760373 | 1.570547 | -0.393938 | -0.891688 | -0.660531 | -1.569253 | 0.379672 | -0.057788 | 0.246200 | -0.891758 | -0.277594 | 1.309341 | 2.346151 | 1.191438 | 0.241988 | 0.221185 | 0.155707 | -2.493820 | -0.001333 | 0.764998 | 0.562576 | 0.245834 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 |
| 153 | -0.438422 | 0.884358 | -1.508498 | -0.023755 | 0.085049 | -0.660531 | -0.289883 | 0.379672 | -0.057788 | -0.660853 | -0.882834 | 2.125136 | 0.762698 | -0.426230 | 0.266233 | 0.241988 | 1.121144 | -0.620189 | -2.493820 | 1.631469 | 1.317193 | -0.679146 | 3.049371 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 154 | -0.438422 | -0.539166 | 0.407848 | -0.147150 | 0.085049 | -0.660531 | -1.126394 | 0.379672 | 0.845911 | 1.153254 | 0.530149 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | -0.620189 | 0.338096 | 0.325228 | 1.041095 | 0.252146 | 0.806541 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 155 | -0.438422 | -0.867672 | 1.719293 | -1.010909 | -1.868426 | 1.169781 | -1.224807 | 0.379672 | -0.057788 | 0.246200 | -0.464039 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | -1.396086 | 0.338096 | 0.488508 | 0.764998 | -0.679146 | 1.367249 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 156 | -0.438422 | 1.541369 | 0.908626 | -0.270544 | 1.061787 | -0.660531 | -1.569253 | -1.026167 | -0.057788 | 0.246200 | -0.078815 | -0.277594 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 157 | -0.438422 | 2.307882 | 0.849128 | -0.023755 | 0.085049 | -0.660531 | 0.448214 | -1.026167 | -0.961486 | -0.660853 | -0.670781 | 0.523316 | 1.309341 | 2.346151 | -0.658973 | 0.241988 | -0.293077 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 158 | -0.438422 | 0.336849 | -0.427610 | -0.640727 | 1.061787 | 0.254625 | 0.054562 | -1.026167 | 0.845911 | 1.153254 | 0.924722 | 1.724681 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | 0.478316 | -0.620189 | -1.077862 | 0.815068 | 1.869389 | -0.058285 | 1.927956 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 159 | -0.438422 | -0.320163 | -1.238276 | -0.887515 | 1.061787 | 0.254625 | 0.448214 | 0.379672 | -0.961486 | 0.246200 | -0.907694 | 1.324226 | 0.762698 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | 0.155707 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 160 | -0.438422 | -1.634185 | 1.124308 | 1.210187 | -1.868426 | 0.254625 | 0.694247 | 0.379672 | -0.961486 | 1.153254 | -0.888146 | -0.678049 | 2.402628 | 2.346151 | -1.584178 | 1.415991 | -1.193036 | 2.483396 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 161 | -0.438422 | -1.086676 | -0.276384 | -0.023755 | 0.085049 | 1.169781 | -0.437503 | 0.379672 | -0.961486 | -0.660853 | -0.951677 | 1.324226 | 0.762698 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | -1.396086 | -2.493820 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 162 | -0.438422 | -0.977174 | -0.898639 | 1.456975 | 0.085049 | 0.254625 | -1.175601 | 0.379672 | -0.961486 | 1.153254 | -0.805279 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.807339 | -0.620189 | -2.493820 | -0.327893 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 163 | -0.438422 | 2.198380 | -1.161424 | 1.827158 | -0.891688 | 0.254625 | 0.841867 | 1.785511 | 0.845911 | 1.153254 | 0.623852 | 0.122861 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | 0.092620 | -0.620189 | -2.493820 | -0.327893 | -0.339394 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 164 | -0.438422 | -1.086676 | 1.605254 | -0.764121 | 0.085049 | 0.254625 | 0.645041 | -1.026167 | -0.961486 | 0.246200 | -0.836514 | -0.678049 | -0.057267 | -0.426230 | 1.191438 | 0.241988 | -1.321601 | -0.620189 | -1.077862 | -0.981014 | -0.891589 | -0.679146 | -0.875581 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 165 | -0.438422 | 1.431867 | 1.610212 | 0.223033 | 0.085049 | 0.254625 | -0.634329 | 0.379672 | 2.653309 | -0.660853 | 2.852116 | 0.122861 | -0.057267 | -0.426230 | -0.658973 | -0.932014 | 1.249709 | 1.707500 | 0.338096 | -0.327893 | -0.063296 | 0.562576 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 166 | -0.438422 | 0.446350 | -0.836662 | 0.593216 | 0.085049 | -1.575686 | -0.486709 | 0.379672 | -0.961486 | 0.246200 | -0.860949 | 0.523316 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | 0.221185 | -0.620189 | 0.338096 | 0.325228 | 1.041095 | -0.368715 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 167 | -0.438422 | -0.758170 | 1.330074 | -0.517332 | 0.085049 | -0.660531 | -1.224807 | 0.379672 | 0.845911 | 1.153254 | 0.619602 | -0.277594 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | 0.092620 | -0.620189 | 0.338096 | 0.488508 | 1.317193 | 1.493867 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 168 | -0.438422 | 0.117845 | -0.249114 | -1.010909 | 1.061787 | -1.575686 | -0.339090 | -1.026167 | -0.057788 | 1.153254 | 0.463855 | 0.523316 | 1.855984 | 2.346151 | 0.266233 | -0.932014 | 0.092620 | -0.620189 | 1.754054 | 0.161947 | -0.339394 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 169 | -0.438422 | -0.539166 | -1.691952 | -0.393938 | 2.038524 | 0.254625 | -1.126394 | 0.379672 | -0.961486 | 0.246200 | -0.736224 | 0.122861 | 1.309341 | 2.346151 | -1.584178 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 170 | -0.438422 | -1.086676 | 0.878877 | 0.963398 | 0.085049 | 0.254625 | -0.732742 | 0.379672 | -0.961486 | -0.660853 | -0.731974 | -1.078504 | 0.216054 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | 0.155707 | -1.077862 | -0.327893 | -0.615492 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 171 | 2.280906 | -1.962690 | -0.497025 | -1.010909 | -1.868426 | 0.254625 | 1.678377 | -2.432006 | -0.961486 | -1.567907 | -0.887721 | -1.078504 | 1.582663 | 2.346151 | -1.584178 | -0.932014 | -1.321601 | 1.707500 | 1.754054 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 172 | -0.438422 | -0.101159 | 1.679627 | -0.764121 | -0.891688 | 1.169781 | -1.766079 | 0.379672 | -0.961486 | -0.660853 | -0.938079 | 0.523316 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | 0.221185 | 0.155707 | -1.077862 | 0.161947 | 0.764998 | 1.493867 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 173 | -0.438422 | -0.758170 | -1.714264 | -0.023755 | 0.085049 | 0.254625 | 0.005356 | 0.379672 | -0.057788 | -1.567907 | -0.729000 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 1.415991 | 0.092620 | 0.931603 | 0.338096 | 0.815068 | 1.317193 | 1.183437 | 1.647603 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 174 | -0.438422 | 0.884358 | 1.154058 | -0.640727 | -0.891688 | 0.254625 | -1.766079 | 0.379672 | -0.057788 | -1.567907 | -0.318066 | 0.523316 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | -0.293077 | 0.155707 | 1.754054 | -0.327893 | -0.063296 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 175 | -0.438422 | 2.088878 | -0.221844 | -0.147150 | 0.085049 | 0.254625 | 0.054562 | 0.379672 | -0.961486 | -1.567907 | -0.477212 | 0.523316 | 0.762698 | -0.426230 | 0.266233 | 0.241988 | 0.992578 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 176 | -0.438422 | -0.429664 | -1.657244 | -0.887515 | 0.085049 | 0.254625 | 1.186312 | 0.379672 | -0.961486 | 1.153254 | -0.850537 | -1.078504 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | -0.935905 | -0.620189 | 1.754054 | -0.654454 | -0.891589 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 177 | 2.280906 | -1.962690 | -1.238276 | -0.887515 | 0.085049 | -0.660531 | -0.929568 | -1.026167 | -0.961486 | 1.153254 | -1.147583 | -0.678049 | 1.855984 | 2.346151 | 0.266233 | -0.932014 | -1.321601 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 178 | -0.438422 | 0.993860 | -0.685436 | -1.010909 | -0.891688 | -0.660531 | 1.284725 | 0.379672 | 0.845911 | -1.567907 | 0.839305 | -0.678049 | 2.675949 | 2.346151 | 0.266233 | 2.589994 | 1.635406 | -0.620189 | 0.338096 | 2.774431 | 2.421585 | 3.977310 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 179 | -0.438422 | 0.117845 | 1.431717 | -0.023755 | -0.891688 | 0.254625 | 0.448214 | 0.379672 | -0.961486 | 1.153254 | -0.895583 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -1.193036 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 180 | -0.438422 | -0.648668 | -1.642370 | 0.346427 | -1.868426 | 0.254625 | 1.432345 | 0.379672 | -0.961486 | 1.153254 | -0.546905 | 2.125136 | 2.129306 | 2.346151 | 0.266233 | 0.241988 | -0.550208 | -2.171982 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 181 | -0.438422 | -0.320163 | -0.430089 | 2.197341 | -0.891688 | 1.169781 | 1.432345 | 0.379672 | -0.961486 | -0.660853 | -0.890696 | -0.277594 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 182 | 2.280906 | 0.446350 | 1.372219 | 1.333581 | -0.891688 | -0.660531 | 0.202182 | 0.379672 | -0.961486 | -0.660853 | -0.714551 | -0.678049 | 1.855984 | 2.346151 | 1.191438 | -0.932014 | -0.935905 | 1.707500 | -1.077862 | -0.491174 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 183 | -0.438422 | 1.431867 | -1.176299 | -1.010909 | 0.085049 | 0.254625 | 0.989486 | -1.026167 | -0.961486 | 0.246200 | -0.597688 | -0.277594 | -0.057267 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | -0.620189 | -1.077862 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 184 | -0.438422 | 1.760373 | 0.697903 | 0.469821 | -0.891688 | 1.169781 | -0.437503 | 1.785511 | -0.057788 | -1.567907 | -0.436204 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 1.415991 | -0.807339 | 0.155707 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 185 | -0.438422 | -0.429664 | 0.318600 | 0.593216 | 0.085049 | 1.169781 | 0.300595 | 0.379672 | -0.961486 | -0.660853 | -0.796143 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.421642 | 1.707500 | 0.338096 | 0.161947 | 0.764998 | -0.368715 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 186 | -0.438422 | 0.336849 | 0.462388 | -0.640727 | -1.868426 | 1.169781 | -0.978775 | 0.379672 | 2.653309 | 0.246200 | 2.662372 | -0.678049 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | 1.249709 | -0.620189 | 0.338096 | 2.121310 | 1.041095 | 2.114728 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 187 | -0.438422 | 1.979376 | -0.273905 | 0.593216 | 1.061787 | 0.254625 | -0.240677 | 1.785511 | 2.653309 | -0.660853 | 2.596291 | 2.125136 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 3.178192 | 0.155707 | 0.338096 | 2.774431 | 2.973780 | -0.058285 | 3.049371 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 188 | -0.438422 | -0.320163 | 0.660716 | -0.887515 | -1.868426 | 1.169781 | -1.027981 | -1.026167 | -0.057788 | 0.246200 | 0.646800 | -0.678049 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | -1.077862 | 0.488508 | 1.317193 | -0.368715 | 1.367249 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 189 | -0.438422 | 1.541369 | -1.213485 | -0.764121 | 0.085049 | 1.169781 | 1.579964 | 0.379672 | 1.749610 | -0.660853 | 1.536448 | 0.122861 | 0.762698 | -0.426230 | 0.266233 | -0.932014 | 1.249709 | 2.483396 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 190 | -0.438422 | 1.650871 | -0.256552 | -1.010909 | 1.061787 | 0.254625 | -0.043851 | -1.026167 | 2.653309 | 0.246200 | 2.867626 | -1.078504 | -0.330589 | -0.426230 | -1.584178 | 0.241988 | 2.921061 | 1.707500 | 0.338096 | 4.243953 | 3.802074 | 2.735589 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 191 | -0.438422 | -1.086676 | 0.226873 | -0.023755 | 0.085049 | 1.169781 | 1.629171 | 0.379672 | -0.961486 | -0.660853 | -0.897495 | -0.678049 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | -0.550208 | -0.620189 | -1.077862 | -0.001333 | 0.764998 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 192 | 2.280906 | -0.210661 | -0.611063 | 1.703764 | -0.891688 | -0.660531 | -0.781948 | -1.026167 | -0.057788 | 0.246200 | -0.124710 | 0.122861 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | -0.421642 | -1.396086 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 193 | -0.438422 | 0.665354 | 1.342469 | -0.270544 | 0.085049 | 1.169781 | -1.421633 | 1.785511 | -0.961486 | 1.153254 | -0.937866 | 0.523316 | -0.330589 | -0.426230 | 1.191438 | 2.589994 | -0.550208 | 0.155707 | 1.754054 | -0.327893 | -0.063296 | -0.058285 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 194 | -0.438422 | 0.884358 | 0.973083 | -0.887515 | -0.891688 | -1.575686 | -0.043851 | -1.026167 | 1.749610 | 1.153254 | 2.186207 | 2.525591 | 2.129306 | 2.346151 | 1.191438 | 0.241988 | 1.378275 | -1.396086 | 0.338096 | 2.121310 | 1.041095 | 2.735589 | 1.086895 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 195 | -0.438422 | 0.008343 | -1.270504 | 1.456975 | 0.085049 | -0.660531 | -0.043851 | 1.785511 | -0.961486 | -1.567907 | -0.624460 | -0.678049 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | -0.421642 | 0.155707 | -1.077862 | 0.161947 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 196 | -0.438422 | -0.210661 | -1.647328 | -0.887515 | 0.085049 | -0.660531 | -1.421633 | 0.379672 | -0.057788 | -0.660853 | -0.441516 | 0.923771 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 1.707500 | 0.338096 | -0.164613 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 197 | -0.438422 | 0.555852 | 0.306205 | 1.456975 | -0.891688 | 0.254625 | -1.470840 | 0.379672 | -0.057788 | 0.246200 | -0.263034 | -0.277594 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | -0.035946 | 1.707500 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 198 | -0.438422 | 0.117845 | 1.136704 | -0.887515 | 1.061787 | 1.169781 | 1.087899 | 0.379672 | -0.057788 | 0.246200 | 0.010639 | 2.525591 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | 0.349751 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 199 | -0.438422 | 0.117845 | 0.697903 | 2.444129 | 0.085049 | 1.169781 | -0.585122 | 0.379672 | -0.057788 | 1.153254 | -0.051405 | 0.122861 | 0.762698 | -0.426230 | -1.584178 | 0.241988 | -0.293077 | 0.155707 | -2.493820 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 200 | -0.438422 | -1.086676 | -0.819308 | -1.010909 | -1.868426 | 0.254625 | -0.289883 | -1.026167 | -0.057788 | -1.567907 | -0.468501 | 0.923771 | 1.036019 | -0.426230 | 0.266233 | 0.241988 | -0.678774 | -1.396086 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 201 | -0.438422 | 1.322365 | 0.494616 | 1.086793 | 1.061787 | 1.169781 | 1.284725 | 0.379672 | -0.057788 | 1.153254 | 0.063971 | -0.678049 | -0.057267 | -0.426230 | -1.584178 | 1.415991 | -0.550208 | -2.171982 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 202 | -0.438422 | -0.320163 | 0.187208 | 0.099639 | 1.061787 | 1.169781 | -1.126394 | 0.379672 | -0.961486 | 0.246200 | -0.571128 | -0.678049 | 0.489376 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | 0.931603 | 1.754054 | -0.327893 | -0.339394 | -0.058285 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 203 | -0.438422 | 0.336849 | 0.254143 | 1.210187 | -0.891688 | 0.254625 | 1.629171 | 0.379672 | -0.057788 | 1.153254 | -0.799330 | 2.125136 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | 0.478316 | -0.620189 | 1.754054 | -0.001333 | -0.615492 | 0.252146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 204 | 2.280906 | 0.117845 | 0.935897 | 2.444129 | -1.868426 | -0.660531 | 0.202182 | 0.379672 | -0.057788 | -1.567907 | 0.036136 | 1.724681 | 1.036019 | -0.426230 | -0.658973 | -0.932014 | 0.735447 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 205 | 2.280906 | -0.867672 | -1.689473 | 2.197341 | 0.085049 | -0.660531 | -1.520046 | 0.379672 | 0.845911 | 1.153254 | 0.241390 | -0.678049 | 1.855984 | 2.346151 | 1.191438 | 2.589994 | -0.164511 | 0.155707 | -1.077862 | 0.488508 | -0.063296 | -0.368715 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 206 | -0.438422 | -1.634185 | 0.826816 | -0.517332 | 0.085049 | 1.169781 | -0.289883 | 1.785511 | -0.961486 | -0.660853 | -0.887084 | -0.678049 | 0.216054 | -0.426230 | -1.584178 | 0.241988 | -0.935905 | -0.620189 | -1.077862 | -0.491174 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 207 | -0.438422 | -0.101159 | -0.415214 | 1.086793 | -1.868426 | -0.660531 | 0.349801 | 0.379672 | -0.961486 | 1.153254 | -0.924268 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | 0.161947 | -0.891589 | -0.368715 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 208 | -0.438422 | 0.336849 | 0.864003 | -0.023755 | 2.038524 | 1.169781 | -0.142264 | -1.026167 | -0.057788 | 1.153254 | -0.345688 | 2.525591 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | 1.707500 | -2.493820 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 209 | -0.438422 | 0.993860 | -0.392902 | -1.010909 | 1.061787 | 1.169781 | 1.530758 | 0.379672 | 0.845911 | -1.567907 | 0.614715 | 1.724681 | 0.216054 | -0.426230 | 0.266233 | 0.241988 | 0.735447 | 0.155707 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 210 | 2.280906 | -0.539166 | 0.601218 | -0.640727 | 1.061787 | 1.169781 | -1.667666 | -2.432006 | 0.845911 | 1.153254 | 0.828044 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | 0.349751 | -0.620189 | -1.077862 | 1.141629 | 1.041095 | 2.114728 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 211 | -0.438422 | -0.758170 | 0.065732 | -1.010909 | -1.868426 | 0.254625 | 1.087899 | -1.026167 | 0.845911 | 0.246200 | 0.418810 | -0.678049 | 1.855984 | 2.346151 | 0.266233 | -0.932014 | 0.092620 | -0.620189 | 0.338096 | 0.651788 | 1.041095 | 0.873006 | 1.086895 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 212 | -0.438422 | -1.086676 | 1.089601 | 1.333581 | 0.085049 | 1.169781 | 1.186312 | 0.379672 | -0.057788 | 0.246200 | 0.739015 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.550208 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 213 | -0.438422 | 1.541369 | 1.652357 | -0.147150 | 1.061787 | -0.660531 | 0.743454 | -1.026167 | 0.845911 | -0.660853 | 1.272124 | 0.923771 | 0.216054 | -0.426230 | 1.191438 | 1.415991 | 0.606882 | 1.707500 | -2.493820 | 0.488508 | 1.317193 | 0.562576 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 214 | 2.280906 | -0.758170 | 0.502054 | -0.764121 | 0.085049 | 1.169781 | 1.087899 | 0.379672 | -0.961486 | -1.567907 | -0.817178 | 0.923771 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.421642 | 1.707500 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 215 | -0.438422 | 0.446350 | 0.231831 | -0.393938 | 0.085049 | 1.169781 | 0.448214 | 0.379672 | 0.845911 | 1.153254 | 1.506063 | 0.122861 | 0.762698 | -0.426230 | 0.266233 | -0.932014 | 0.606882 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 216 | 2.280906 | -0.758170 | -1.161424 | 2.073946 | 1.061787 | 0.254625 | -0.683535 | -1.026167 | -0.057788 | -1.567907 | 0.041023 | 0.923771 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | -0.293077 | 1.707500 | -1.077862 | -0.164613 | -0.339394 | -0.679146 | -0.875581 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 217 | 2.280906 | -0.867672 | 0.469825 | -1.010909 | 0.085049 | 0.254625 | 0.940280 | 0.379672 | -0.961486 | 0.246200 | -0.944453 | -1.078504 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.550208 | -1.396086 | -1.077862 | -0.164613 | -0.615492 | -0.368715 | 0.245834 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 218 | -0.438422 | 0.884358 | 0.618571 | -0.393938 | 0.085049 | 1.169781 | -0.437503 | -1.026167 | 0.845911 | 1.153254 | 0.501889 | 1.324226 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 1.506840 | -0.620189 | 0.338096 | 1.958030 | 0.764998 | 3.046019 | 1.086895 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 219 | -0.438422 | 1.869874 | 0.854086 | -0.764121 | 0.085049 | 1.169781 | -0.683535 | 0.379672 | -0.057788 | -1.567907 | -0.119611 | -0.277594 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | 0.606882 | 0.931603 | 0.338096 | -0.164613 | -0.615492 | -0.679146 | 0.245834 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 220 | -0.438422 | -0.101159 | 1.471383 | -0.517332 | -0.891688 | 1.169781 | -0.191470 | 0.379672 | -0.057788 | -0.660853 | -0.125135 | 2.125136 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | 0.606882 | 0.155707 | 1.754054 | 0.978348 | 1.869389 | 0.252146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 221 | -0.438422 | -0.429664 | -1.625016 | -0.640727 | 1.061787 | 0.254625 | -0.929568 | -1.026167 | -0.961486 | -0.660853 | -0.824615 | 1.324226 | 1.582663 | 2.346151 | 1.191438 | -0.932014 | -0.550208 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 222 | -0.438422 | 0.008343 | -0.345799 | 0.223033 | 0.085049 | -0.660531 | -0.929568 | 0.379672 | 0.845911 | 1.153254 | 1.207318 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | 2.589994 | -0.164511 | -1.396086 | 0.338096 | 0.488508 | 1.041095 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 223 | -0.438422 | 0.117845 | -1.694431 | -0.764121 | 0.085049 | -1.575686 | 0.497421 | 0.379672 | 0.845911 | 0.246200 | 0.872452 | -1.078504 | -0.877232 | -0.426230 | 0.266233 | 1.415991 | 0.735447 | 2.483396 | -1.077862 | 1.468189 | 1.593291 | 0.873006 | 2.488664 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 224 | -0.438422 | -0.648668 | 0.437597 | -1.010909 | 1.061787 | 0.254625 | 1.186312 | -2.432006 | -0.057788 | 0.246200 | -0.458514 | -1.078504 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.034520 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 225 | -0.438422 | 2.417384 | -1.637412 | -0.764121 | 0.085049 | 0.254625 | 0.202182 | -1.026167 | -0.961486 | 1.153254 | -0.919168 | 0.122861 | 0.489376 | -0.426230 | -1.584178 | 0.241988 | -0.550208 | 2.483396 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 226 | -0.438422 | 0.008343 | -1.198611 | -0.640727 | 1.061787 | -1.575686 | -1.224807 | 0.379672 | -0.961486 | 1.153254 | -0.788281 | 0.523316 | 0.489376 | -0.426230 | 0.266233 | 0.241988 | 0.221185 | -0.620189 | 0.338096 | 0.325228 | 1.041095 | 0.873006 | 1.086895 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 |
| 227 | -0.438422 | -0.867672 | 1.513527 | -1.010909 | -1.868426 | -0.660531 | -1.175601 | 0.379672 | 0.845911 | 1.153254 | 0.300672 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -0.035946 | 1.707500 | 0.338096 | 0.651788 | 1.593291 | 0.562576 | -0.875581 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 228 | -0.438422 | -0.210661 | 0.350828 | -1.010909 | 0.085049 | 0.254625 | 1.284725 | 0.379672 | 0.845911 | 0.246200 | 0.485741 | -0.678049 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | -0.164511 | 0.155707 | 1.754054 | 0.488508 | 0.764998 | -0.679146 | 1.086895 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 229 | 2.280906 | -0.867672 | 0.231831 | 1.086793 | -1.868426 | 0.254625 | 0.989486 | -1.026167 | -0.961486 | 1.153254 | -0.874123 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.935905 | 0.155707 | -1.077862 | -0.491174 | -0.339394 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 230 | -0.438422 | 1.650871 | 1.290408 | -0.887515 | 0.085049 | 0.254625 | 1.137106 | -1.026167 | -0.961486 | 1.153254 | -0.699253 | 1.724681 | -0.057267 | -0.426230 | -0.658973 | -0.932014 | -0.678774 | 0.155707 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 231 | -0.438422 | 0.555852 | -0.670562 | -0.640727 | -0.891688 | 0.254625 | -0.388296 | 0.379672 | 2.653309 | 1.153254 | 2.704655 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 1.378275 | 0.155707 | 0.338096 | 2.447870 | 3.525976 | 2.735589 | 3.049371 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 232 | -0.438422 | 2.417384 | 0.038462 | -0.393938 | -0.891688 | -0.660531 | -0.683535 | 0.379672 | -0.961486 | 0.246200 | -0.900045 | 2.125136 | 0.489376 | -0.426230 | 1.191438 | -0.932014 | -0.550208 | -0.620189 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 233 | -0.438422 | 1.431867 | 0.127709 | -1.010909 | 1.061787 | 1.169781 | 0.103769 | 0.379672 | 2.653309 | 1.153254 | 2.765212 | 0.122861 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 2.663930 | 0.155707 | -1.077862 | -0.001333 | -1.167687 | -0.679146 | 0.526188 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 234 | 2.280906 | -0.429664 | 0.026066 | 0.593216 | 0.085049 | 0.254625 | -0.388296 | 0.379672 | -0.961486 | 1.153254 | -0.864136 | 0.923771 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -0.421642 | -0.620189 | -2.493820 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 235 | -0.438422 | 0.665354 | 0.573948 | 0.840004 | 0.085049 | 1.169781 | 0.694247 | 0.379672 | 1.749610 | 1.153254 | 2.031523 | 0.923771 | 1.855984 | 2.346151 | 0.266233 | 0.241988 | 1.378275 | 0.155707 | 0.338096 | 1.631469 | 2.421585 | -0.368715 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 236 | 2.280906 | -0.429664 | -0.836662 | -0.887515 | -0.891688 | -1.575686 | -1.323220 | 0.379672 | -0.961486 | -1.567907 | -0.806554 | 1.724681 | 1.309341 | 2.346151 | -1.584178 | -0.932014 | 0.221185 | 0.155707 | 1.754054 | 0.325228 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 237 | -0.438422 | 1.650871 | -0.078056 | -0.887515 | 1.061787 | -1.575686 | 0.645041 | -1.026167 | 2.653309 | 0.246200 | 2.669809 | -0.678049 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | 2.792496 | -0.620189 | 1.754054 | 4.243953 | 0.764998 | 3.977310 | 2.208310 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 238 | -0.438422 | -0.539166 | 1.483778 | -0.640727 | -0.891688 | 0.254625 | -0.486709 | 0.379672 | -0.961486 | -0.660853 | -0.546480 | -0.277594 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | -0.678774 | 1.707500 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 239 | 2.280906 | -0.539166 | -0.712706 | -1.010909 | 0.085049 | 1.169781 | -0.191470 | -1.026167 | -0.961486 | 0.246200 | -0.589189 | -1.078504 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.935905 | -0.620189 | -2.493820 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 240 | -0.438422 | 0.227347 | 1.558151 | -1.010909 | 1.061787 | 0.254625 | 1.481551 | 0.379672 | -0.961486 | 0.246200 | -0.907482 | 1.724681 | -0.330589 | -0.426230 | 0.266233 | 2.589994 | -0.550208 | -1.396086 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 241 | -0.438422 | -0.539166 | 0.430160 | 2.073946 | 1.061787 | 0.254625 | 1.678377 | 0.379672 | -0.057788 | 1.153254 | -0.433017 | -1.078504 | 0.762698 | -0.426230 | -1.584178 | -0.932014 | -0.935905 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 242 | -0.438422 | 0.446350 | 1.508569 | 1.210187 | -0.891688 | 0.254625 | -1.470840 | 0.379672 | -0.057788 | -1.567907 | -0.729000 | -0.277594 | 0.216054 | -0.426230 | -1.584178 | 1.415991 | 0.735447 | -0.620189 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 243 | -0.438422 | 0.336849 | 1.233389 | 1.827158 | -0.891688 | -1.575686 | -0.191470 | 0.379672 | -0.057788 | 1.153254 | -0.676517 | -0.678049 | 0.489376 | -0.426230 | -1.584178 | 1.415991 | -0.293077 | 0.155707 | 0.338096 | 0.325228 | 1.041095 | 0.562576 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 244 | -0.438422 | 0.884358 | -1.364710 | -1.010909 | 0.085049 | 0.254625 | 0.202182 | 1.785511 | 2.653309 | 1.153254 | 2.698281 | -1.078504 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 1.763972 | -0.620189 | 0.338096 | 2.774431 | -1.167687 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 245 | -0.438422 | -0.648668 | 1.300325 | -0.764121 | 1.061787 | -0.660531 | 0.349801 | 0.379672 | 0.845911 | 0.246200 | 1.523911 | 2.525591 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | -0.293077 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 246 | -0.438422 | -0.429664 | 0.073169 | -0.517332 | 1.061787 | 0.254625 | -0.142264 | -1.026167 | -0.961486 | 1.153254 | -0.763209 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -1.193036 | -0.620189 | -1.077862 | -0.817734 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 247 | -0.438422 | -0.320163 | -0.824266 | -0.887515 | 1.061787 | 1.169781 | 0.891073 | -1.026167 | -0.057788 | -1.567907 | -0.115999 | 1.324226 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 0.221185 | 0.155707 | 0.338096 | 0.651788 | 1.317193 | 0.873006 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 248 | -0.438422 | 0.008343 | 0.531803 | -1.010909 | -0.891688 | 0.254625 | 0.841867 | -1.026167 | -0.961486 | -1.567907 | -0.548818 | -0.277594 | -0.330589 | -0.426230 | -1.584178 | 0.241988 | 0.735447 | -0.620189 | -1.077862 | -0.654454 | -0.891589 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 249 | -0.438422 | 0.884358 | 0.982999 | -0.270544 | 1.061787 | -1.575686 | 0.546627 | 1.785511 | -0.057788 | 0.246200 | -0.014646 | 0.523316 | 0.489376 | -0.426230 | 1.191438 | 0.241988 | -0.293077 | -1.396086 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 250 | 2.280906 | 0.008343 | -0.739977 | 0.099639 | 0.085049 | -1.575686 | -0.240677 | 0.379672 | 0.845911 | 0.246200 | 0.753251 | 1.324226 | -1.150554 | -0.426230 | -0.658973 | 1.415991 | 0.735447 | 1.707500 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 251 | -0.438422 | 0.227347 | -0.737497 | -0.887515 | 1.061787 | 0.254625 | -0.093057 | 0.379672 | 0.845911 | 0.246200 | 0.942357 | -1.078504 | 2.675949 | 2.346151 | 1.191438 | -0.932014 | 1.121144 | -1.396086 | 0.338096 | 1.958030 | 0.488900 | 2.735589 | 1.086895 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 252 | -0.438422 | -0.867672 | -0.340841 | 0.716610 | 0.085049 | 0.254625 | -0.289883 | 0.379672 | -0.961486 | 1.153254 | -0.884534 | -0.678049 | 1.036019 | -0.426230 | -1.584178 | -0.932014 | -0.678774 | -1.396086 | 0.338096 | -0.164613 | 0.212802 | -0.368715 | 0.245834 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 253 | -0.438422 | 0.555852 | 0.281414 | 0.963398 | -0.891688 | 1.169781 | 0.792660 | 1.785511 | -0.057788 | -1.567907 | 0.008939 | 0.122861 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -1.396086 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 254 | -0.438422 | -0.867672 | 1.101996 | 1.333581 | -0.891688 | 1.169781 | -1.027981 | 0.379672 | -0.057788 | 1.153254 | 0.090955 | -0.277594 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 255 | -0.438422 | -1.305679 | -0.291259 | -1.010909 | 0.085049 | -1.575686 | -0.191470 | 0.379672 | -0.057788 | 0.246200 | -0.341014 | -1.078504 | -0.877232 | -0.426230 | 1.191438 | 1.415991 | -0.807339 | 0.155707 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 256 | -0.438422 | 0.555852 | -1.322566 | -0.887515 | 0.085049 | 1.169781 | -0.486709 | -1.026167 | -0.961486 | -1.567907 | -0.830777 | -1.078504 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | 0.931603 | 0.338096 | 0.325228 | 0.488900 | 1.493867 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 257 | -0.438422 | 0.336849 | 1.520965 | -0.887515 | -0.891688 | -1.575686 | -0.831155 | 0.379672 | 2.653309 | 0.246200 | 2.748001 | -1.078504 | 1.036019 | -0.426230 | 1.191438 | 0.241988 | 1.378275 | 1.707500 | 0.338096 | 2.284590 | 0.764998 | 0.252146 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 258 | -0.438422 | 1.541369 | 0.075648 | -1.010909 | 0.085049 | 0.254625 | 1.481551 | 0.379672 | -0.961486 | 1.153254 | -0.803155 | -0.678049 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | -1.321601 | -2.171982 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 259 | 2.280906 | -0.648668 | -1.228360 | 2.444129 | -0.891688 | 0.254625 | 0.251388 | -1.026167 | -0.961486 | -0.660853 | -0.642521 | -1.078504 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | -0.678774 | -0.620189 | 1.754054 | -0.327893 | -0.063296 | -0.368715 | -0.034520 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 260 | -0.438422 | -0.539166 | 1.260659 | -0.270544 | 0.085049 | -0.660531 | 1.678377 | 1.785511 | -0.961486 | -0.660853 | -0.788069 | -0.678049 | 1.309341 | 2.346151 | 0.266233 | -0.932014 | -0.807339 | 0.155707 | -2.493820 | -0.327893 | -0.891589 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 261 | -0.438422 | 0.117845 | 1.300325 | -0.887515 | -0.891688 | 1.169781 | -1.323220 | -1.026167 | -0.057788 | 1.153254 | -0.266434 | 0.122861 | 0.762698 | -0.426230 | 1.191438 | 0.241988 | 0.221185 | -2.171982 | 0.338096 | 0.161947 | 0.764998 | 1.493867 | 0.245834 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 262 | -0.438422 | -0.539166 | -1.672119 | -0.887515 | -1.868426 | 1.169781 | 0.891073 | -1.026167 | -0.057788 | -1.567907 | -0.919381 | 0.523316 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | 1.707500 | 0.338096 | -0.164613 | -0.615492 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 263 | -0.438422 | 0.993860 | -0.779642 | -0.887515 | 0.085049 | 0.254625 | 0.448214 | -2.432006 | 1.749610 | -0.660853 | 2.203206 | 0.122861 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | 2.149668 | -0.620189 | -1.077862 | -0.001333 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 264 | 2.280906 | -0.977174 | -0.677999 | -0.887515 | 1.061787 | -1.575686 | 0.645041 | 0.379672 | -0.961486 | 0.246200 | -0.641246 | -0.277594 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.807339 | 1.707500 | -2.493820 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 265 | -0.438422 | -0.867672 | 1.010270 | -0.887515 | 0.085049 | -1.575686 | 0.595834 | -1.026167 | -0.057788 | -0.660853 | 0.029974 | -0.277594 | 1.036019 | -0.426230 | -0.658973 | 1.415991 | -0.164511 | -0.620189 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 266 | -0.438422 | -0.648668 | 1.637482 | 1.703764 | 0.085049 | -0.660531 | -0.093057 | -1.026167 | -0.057788 | 1.153254 | -0.195678 | -1.078504 | 1.582663 | 2.346151 | -0.658973 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.325228 | -1.167687 | 1.493867 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 267 | -0.438422 | -1.305679 | -0.316050 | -0.517332 | -0.891688 | -0.660531 | 0.940280 | 1.785511 | -0.057788 | -1.567907 | -0.531819 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 1.415991 | -0.678774 | -0.620189 | 0.338096 | -0.164613 | -0.339394 | -0.368715 | 0.245834 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 268 | -0.438422 | 0.884358 | 1.444112 | 1.333581 | -0.891688 | 0.254625 | 0.645041 | 0.379672 | 1.749610 | 1.153254 | 1.485878 | -1.078504 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | 1.249709 | -0.620189 | 0.338096 | 2.121310 | 0.764998 | 0.562576 | 1.647603 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 269 | -0.438422 | -0.101159 | 1.488736 | -0.393938 | 0.085049 | 1.169781 | -0.929568 | 0.379672 | -0.961486 | 1.153254 | -0.699678 | -1.078504 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 0.606882 | 0.931603 | 0.338096 | 1.304909 | 2.421585 | 2.425158 | 1.927956 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 270 | -0.438422 | 1.979376 | -0.868890 | -1.010909 | 0.085049 | 1.169781 | 0.743454 | 0.379672 | 2.653309 | -1.567907 | 2.664922 | -1.078504 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | 3.306758 | -0.620189 | 0.338096 | 4.733793 | 1.593291 | 0.562576 | 2.488664 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 271 | 2.280906 | 1.103362 | -0.338362 | 2.444129 | 1.061787 | -1.575686 | 1.087899 | 0.379672 | 0.845911 | -0.660853 | 1.135925 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | -0.620189 | -1.077862 | 0.488508 | 0.764998 | 2.114728 | 1.367249 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 272 | -0.438422 | -0.977174 | 0.881356 | -0.023755 | 0.085049 | 1.169781 | 1.383138 | 0.379672 | -0.961486 | 1.153254 | -0.941903 | -0.678049 | 2.129306 | 2.346151 | 1.191438 | 0.241988 | -0.807339 | 0.155707 | -1.077862 | -0.327893 | -0.615492 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 273 | -0.438422 | 0.008343 | -1.424209 | -0.393938 | 1.061787 | 0.254625 | 1.579964 | 0.379672 | -0.057788 | 1.153254 | -0.000198 | 0.523316 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | -0.550208 | 1.707500 | 1.754054 | -0.327893 | -0.063296 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 274 | -0.438422 | -1.743687 | 0.479742 | -0.764121 | -0.891688 | 1.169781 | 1.678377 | -1.026167 | -0.961486 | 0.246200 | -0.695428 | -0.678049 | 0.489376 | -0.426230 | -1.584178 | -0.932014 | -1.064470 | 0.931603 | 1.754054 | -0.654454 | -0.615492 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 275 | -0.438422 | 0.008343 | -0.184658 | -1.010909 | 1.061787 | -1.575686 | 0.694247 | 0.379672 | 0.845911 | 1.153254 | 1.508613 | -0.277594 | 0.762698 | -0.426230 | -1.584178 | 1.415991 | 0.478316 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 276 | -0.438422 | -0.210661 | 1.270575 | 1.580370 | 0.085049 | -0.660531 | 0.251388 | 1.785511 | 0.845911 | -0.660853 | 1.167160 | 1.724681 | 0.762698 | -0.426230 | -0.658973 | 0.241988 | -0.164511 | 2.483396 | -1.077862 | -0.001333 | 0.764998 | 1.183437 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 277 | -0.438422 | 0.117845 | -1.191173 | -0.270544 | -0.891688 | -1.575686 | -1.077188 | 1.785511 | -0.057788 | -1.567907 | -0.190791 | -0.678049 | 2.402628 | 2.346151 | 0.266233 | 0.241988 | -0.421642 | 0.155707 | 0.338096 | 0.161947 | -1.167687 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 278 | -0.438422 | -1.196177 | 1.677148 | -1.010909 | 0.085049 | 0.254625 | 0.891073 | 0.379672 | -0.057788 | -0.660853 | -0.022508 | -0.678049 | 1.309341 | 2.346151 | -1.584178 | 0.241988 | -0.678774 | 2.483396 | -2.493820 | -0.164613 | 0.212802 | -0.368715 | -0.034520 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 279 | -0.438422 | 1.431867 | -0.013600 | -0.640727 | -1.868426 | -1.575686 | 1.481551 | 0.379672 | 2.653309 | -0.660853 | 2.685957 | 0.122861 | -0.330589 | -0.426230 | -1.584178 | 1.415991 | 2.149668 | 0.931603 | -1.077862 | 0.488508 | -0.063296 | -0.368715 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 280 | -0.438422 | 1.760373 | 0.663195 | -0.764121 | 1.061787 | 0.254625 | -1.027981 | 0.379672 | 1.749610 | 0.246200 | 2.354491 | 0.122861 | 0.216054 | -0.426230 | 1.191438 | 2.589994 | 1.249709 | 1.707500 | -1.077862 | -0.327893 | -0.339394 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 281 | -0.438422 | 0.555852 | -0.415214 | -1.010909 | -1.868426 | -0.660531 | 1.629171 | 0.379672 | -0.057788 | 0.246200 | -0.339101 | -0.678049 | 2.675949 | 2.346151 | 0.266233 | -0.932014 | 1.121144 | 0.155707 | 0.338096 | 2.121310 | 3.249878 | 2.735589 | 0.526188 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 282 | -0.438422 | -0.867672 | -0.893681 | -0.887515 | -0.891688 | -0.660531 | -1.077188 | 0.379672 | -0.057788 | 1.153254 | -0.414106 | -0.678049 | 0.762698 | -0.426230 | -1.584178 | -0.932014 | -0.164511 | 0.155707 | -1.077862 | 0.488508 | 0.764998 | -0.679146 | 1.367249 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 283 | -0.438422 | 1.979376 | -1.625016 | 1.333581 | -0.891688 | -0.660531 | -1.421633 | 0.379672 | -0.057788 | 1.153254 | -0.231162 | 0.122861 | 1.036019 | -0.426230 | 1.191438 | 0.241988 | 0.092620 | 0.931603 | 0.338096 | 0.488508 | 0.764998 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 284 | -0.438422 | -1.196177 | -0.759809 | 0.223033 | -0.891688 | -1.575686 | -0.289883 | 0.379672 | -0.057788 | -1.567907 | -0.374373 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -0.807339 | 0.155707 | 0.338096 | -0.327893 | -0.339394 | 0.252146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 285 | -0.438422 | 0.008343 | 1.411884 | -1.010909 | 0.085049 | 1.169781 | -1.175601 | 0.379672 | -0.961486 | 1.153254 | -0.932342 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | 0.735447 | 0.155707 | 0.338096 | 1.631469 | 2.145487 | 0.873006 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 286 | 2.280906 | 0.774856 | 0.291330 | 1.827158 | 0.085049 | 1.169781 | -1.126394 | 0.379672 | -0.961486 | 0.246200 | -0.710089 | 0.122861 | 1.855984 | 2.346151 | 1.191438 | 0.241988 | 0.992578 | -2.171982 | -2.493820 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 287 | -0.438422 | 0.117845 | -0.283822 | 1.703764 | 1.061787 | 1.169781 | 0.792660 | 0.379672 | -0.057788 | 1.153254 | -0.161044 | 2.525591 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 288 | 2.280906 | -1.196177 | 1.602775 | 0.840004 | 1.061787 | -1.575686 | -1.027981 | 0.379672 | -0.961486 | -0.660853 | -0.877522 | -0.277594 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 289 | -0.438422 | -0.977174 | 0.779713 | -0.147150 | -0.891688 | 1.169781 | 0.005356 | 0.379672 | -0.961486 | 1.153254 | -0.678430 | -0.678049 | 1.582663 | 2.346151 | 1.191438 | -0.932014 | -0.807339 | 0.155707 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 290 | -0.438422 | 1.322365 | -0.412735 | 0.099639 | 1.061787 | 0.254625 | -1.520046 | 0.379672 | 2.653309 | -1.567907 | 2.584180 | 2.525591 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 1.378275 | 0.931603 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 291 | -0.438422 | -0.101159 | -0.735018 | -0.764121 | 0.085049 | 0.254625 | -1.766079 | 0.379672 | -0.057788 | -0.660853 | -0.428767 | 0.523316 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.161947 | -1.167687 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 292 | -0.438422 | -0.648668 | -0.888723 | -0.517332 | 0.085049 | 1.169781 | 0.891073 | 0.379672 | -0.961486 | -0.660853 | -0.789131 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -1.193036 | 1.707500 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 |
| 293 | 2.280906 | -1.196177 | 0.365703 | -0.640727 | 1.061787 | 1.169781 | -0.880361 | -1.026167 | -0.057788 | 1.153254 | -0.143408 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | -0.421642 | -2.171982 | 0.338096 | 0.161947 | 0.764998 | 1.493867 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 294 | -0.438422 | 0.008343 | 0.214478 | -0.023755 | 0.085049 | -0.660531 | -0.634329 | 0.379672 | -0.961486 | 1.153254 | -0.887509 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 2.589994 | -0.935905 | 0.155707 | -1.077862 | -0.491174 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 295 | -0.438422 | 0.555852 | -0.613542 | 2.073946 | 0.085049 | 0.254625 | 0.546627 | 0.379672 | 1.749610 | -0.660853 | 1.492040 | 0.923771 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | 1.506840 | -0.620189 | 1.754054 | 2.121310 | -0.063296 | 0.562576 | 1.086895 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 296 | 2.280906 | -2.072192 | -1.419251 | -0.764121 | 0.085049 | 0.254625 | -0.585122 | 0.379672 | -0.961486 | 0.246200 | -1.080014 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -1.450167 | -0.620189 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 297 | -0.438422 | -0.210661 | 1.064810 | 0.840004 | 0.085049 | 0.254625 | 1.481551 | 0.379672 | 0.845911 | -0.660853 | 0.322345 | -1.078504 | -0.057267 | -0.426230 | 0.266233 | 1.415991 | 0.092620 | 0.155707 | -1.077862 | 0.651788 | 1.317193 | 1.183437 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 298 | -0.438422 | -0.101159 | -0.586272 | 1.086793 | 1.061787 | 0.254625 | 0.743454 | 1.785511 | -0.961486 | 1.153254 | -0.598113 | 0.523316 | 0.762698 | -0.426230 | 1.191438 | 1.415991 | -0.935905 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 299 | -0.438422 | 1.541369 | 1.238347 | -0.887515 | 0.085049 | 1.169781 | 0.891073 | -2.432006 | -0.057788 | -0.660853 | -0.216926 | 0.923771 | 0.762698 | -0.426230 | 1.191438 | 0.241988 | 0.221185 | 0.155707 | 0.338096 | -0.491174 | -0.891589 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 300 | -0.438422 | 0.446350 | -1.161424 | -0.887515 | 1.061787 | 1.169781 | 1.087899 | 0.379672 | 1.749610 | -0.660853 | 2.021112 | -0.678049 | 1.036019 | -0.426230 | -0.658973 | -0.932014 | 1.378275 | -0.620189 | 0.338096 | 2.447870 | 1.593291 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 301 | -0.438422 | -2.072192 | 0.023587 | 0.099639 | 0.085049 | 1.169781 | 0.152975 | -1.026167 | -0.961486 | 0.246200 | -1.126760 | -0.678049 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -1.450167 | -0.620189 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 302 | -0.438422 | -0.977174 | 1.669711 | 0.840004 | -0.891688 | -0.660531 | 0.103769 | 1.785511 | -0.057788 | -1.567907 | -0.178892 | -1.078504 | 1.036019 | -0.426230 | 0.266233 | -0.932014 | -0.293077 | -0.620189 | 0.338096 | 0.161947 | -0.339394 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 303 | -0.438422 | -0.648668 | -1.449000 | -0.270544 | 0.085049 | -0.660531 | 1.678377 | 1.785511 | -0.057788 | 1.153254 | 0.090531 | 0.523316 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | -0.164511 | 0.155707 | -1.077862 | 0.161947 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 304 | -0.438422 | 0.227347 | 0.816900 | -1.010909 | 0.085049 | 0.254625 | -0.880361 | 1.785511 | 0.845911 | 1.153254 | 0.660823 | -1.078504 | 0.489376 | -0.426230 | -1.584178 | 2.589994 | 0.992578 | 1.707500 | -1.077862 | 1.794749 | 1.593291 | 0.252146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 305 | -0.438422 | -0.101159 | 0.749964 | 1.827158 | 1.061787 | -0.660531 | -0.929568 | 0.379672 | -0.057788 | -0.660853 | -0.176130 | 1.724681 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | -0.035946 | 0.155707 | 0.338096 | 0.325228 | 1.041095 | -0.679146 | 1.086895 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 306 | -0.438422 | -0.539166 | 0.256622 | -0.270544 | 0.085049 | 1.169781 | 1.235519 | -1.026167 | -0.057788 | 0.246200 | -0.216501 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 0.221185 | 0.155707 | -1.077862 | 0.978348 | 1.041095 | 0.562576 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 307 | -0.438422 | 0.117845 | 0.115314 | 1.950552 | -0.891688 | -1.575686 | 0.743454 | -1.026167 | 0.845911 | -0.660853 | 1.180971 | 0.122861 | 0.489376 | -0.426230 | 0.266233 | 0.241988 | 0.992578 | -0.620189 | 0.338096 | 0.488508 | 1.041095 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 308 | -0.438422 | 2.307882 | -1.022594 | -1.010909 | 1.061787 | 1.169781 | -1.667666 | -2.432006 | -0.057788 | 0.246200 | -0.179105 | -0.277594 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | 0.092620 | -0.620189 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 309 | -0.438422 | -0.648668 | -0.276384 | -0.517332 | 1.061787 | 0.254625 | 0.989486 | 0.379672 | -0.961486 | 1.153254 | -0.357374 | -1.078504 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -0.678774 | 0.931603 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 310 | -0.438422 | -0.648668 | -1.726659 | -0.887515 | 0.085049 | -1.575686 | -0.191470 | -1.026167 | -0.057788 | -1.567907 | -0.019746 | 0.122861 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | -1.396086 | 0.338096 | -0.817734 | -0.615492 | -0.368715 | -1.155935 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 311 | -0.438422 | 0.884358 | 1.106955 | -0.270544 | 0.085049 | -1.575686 | 1.530758 | 0.379672 | 0.845911 | -1.567907 | -0.274720 | -0.678049 | 0.762698 | -0.426230 | -1.584178 | 0.241988 | 1.635406 | -0.620189 | 0.338096 | 2.774431 | 1.317193 | 2.114728 | 1.927956 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 312 | -0.438422 | -0.648668 | -1.513456 | -0.887515 | 1.061787 | 0.254625 | -1.667666 | 0.379672 | -0.961486 | 1.153254 | -0.809104 | -1.078504 | 0.762698 | -0.426230 | -0.658973 | 0.241988 | -1.064470 | -0.620189 | -2.493820 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 313 | -0.438422 | -0.429664 | -0.618501 | -0.517332 | 1.061787 | 1.169781 | 0.399008 | 0.379672 | 0.845911 | -0.660853 | 1.142087 | 1.324226 | -1.150554 | -0.426230 | -0.658973 | 1.415991 | 0.092620 | -0.620189 | 0.338096 | 0.488508 | 0.488900 | 1.804297 | 1.086895 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 314 | -0.438422 | 0.227347 | -1.699389 | 0.099639 | -1.868426 | 0.254625 | 1.629171 | 0.379672 | 1.749610 | -1.567907 | 2.244852 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | 1.249709 | 0.155707 | 0.338096 | 2.284590 | 1.317193 | 2.735589 | 1.647603 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 315 | -0.438422 | 0.665354 | -1.530810 | 0.099639 | 1.061787 | 0.254625 | -1.618459 | 0.379672 | -0.961486 | 1.153254 | -0.860099 | -1.078504 | 1.036019 | -0.426230 | -1.584178 | -0.932014 | -0.293077 | 1.707500 | 0.338096 | 0.161947 | 0.764998 | -0.368715 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 316 | -0.438422 | 1.322365 | 0.715256 | -1.010909 | -0.891688 | 0.254625 | 1.186312 | -1.026167 | 1.749610 | 0.246200 | 1.585318 | 1.724681 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 1.763972 | -0.620189 | 0.338096 | -0.001333 | -0.891589 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 317 | 2.280906 | 1.650871 | -0.197053 | -0.147150 | 1.061787 | 0.254625 | 0.940280 | -1.026167 | -0.057788 | -0.660853 | -0.331877 | -0.277594 | -0.057267 | -0.426230 | -1.584178 | -0.932014 | -0.035946 | 0.155707 | -1.077862 | 0.161947 | -0.615492 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 318 | -0.438422 | -1.086676 | 1.035061 | -0.517332 | 0.085049 | 0.254625 | 0.940280 | 0.379672 | -0.961486 | -0.660853 | -0.855212 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | -0.935905 | -0.620189 | -1.077862 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 319 | -0.438422 | -0.539166 | -0.531732 | -0.147150 | -0.891688 | 0.254625 | -0.043851 | -1.026167 | -0.057788 | -0.660853 | -0.270896 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 0.221185 | -0.620189 | 0.338096 | 0.978348 | 2.145487 | 2.735589 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 320 | -0.438422 | -1.086676 | 1.424280 | -0.887515 | 0.085049 | 1.169781 | 0.399008 | 0.379672 | -0.057788 | 0.246200 | -0.430255 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | -0.807339 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 321 | -0.438422 | -0.648668 | -0.276384 | -0.270544 | 0.085049 | 1.169781 | 0.349801 | 0.379672 | -0.057788 | 1.153254 | 0.221842 | 0.523316 | -0.877232 | -0.426230 | 1.191438 | 2.589994 | 0.221185 | 0.155707 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 322 | -0.438422 | -0.539166 | 0.534282 | -0.887515 | 1.061787 | -1.575686 | 0.399008 | 1.785511 | -0.057788 | 1.153254 | -0.307654 | 1.724681 | 0.216054 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -2.171982 | -1.077862 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 323 | 2.280906 | -0.977174 | 0.878877 | -0.887515 | 1.061787 | -1.575686 | 0.891073 | -2.432006 | -0.961486 | 1.153254 | -0.645708 | 0.923771 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.807339 | 0.931603 | -1.077862 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 324 | -0.438422 | -0.758170 | 1.171411 | 2.320735 | -0.891688 | 1.169781 | -0.093057 | 0.379672 | -0.057788 | 1.153254 | -0.154670 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 1.415991 | -0.035946 | -0.620189 | 0.338096 | 0.488508 | 1.041095 | -0.368715 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 325 | -0.438422 | -0.648668 | -0.011121 | -0.270544 | -0.891688 | 0.254625 | -0.880361 | -1.026167 | 0.845911 | 0.246200 | 0.518463 | -0.678049 | 2.402628 | 2.346151 | -1.584178 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 1.317193 | 1.804297 | 1.367249 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 326 | -0.438422 | 0.227347 | -0.323487 | -0.270544 | -0.891688 | 0.254625 | -0.585122 | -1.026167 | 2.653309 | 1.153254 | 2.713155 | -0.678049 | -0.057267 | -0.426230 | -1.584178 | 0.241988 | 1.249709 | -0.620189 | 0.338096 | 2.284590 | 1.317193 | 3.356449 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 327 | 2.280906 | 0.227347 | 0.891273 | -0.764121 | -0.891688 | 1.169781 | -1.224807 | 0.379672 | -0.057788 | 0.246200 | -0.268771 | 0.523316 | 0.762698 | -0.426230 | -1.584178 | -0.932014 | 0.092620 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 328 | -0.438422 | -0.429664 | -0.730060 | 0.099639 | 0.085049 | -0.660531 | -0.978775 | -1.026167 | -0.057788 | 1.153254 | -0.386909 | 0.122861 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | -0.293077 | 2.483396 | -1.077862 | -0.001333 | 0.764998 | -0.679146 | -0.875581 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 329 | -0.438422 | 1.103362 | 1.684585 | -0.517332 | 2.038524 | 1.169781 | -1.175601 | 0.379672 | 2.653309 | 0.246200 | 2.506625 | 0.523316 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | 1.249709 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 330 | -0.438422 | 0.665354 | -0.603626 | 0.099639 | 1.061787 | 0.254625 | 0.792660 | -1.026167 | -0.057788 | 0.246200 | -0.264734 | -0.678049 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | -0.293077 | 0.155707 | 1.754054 | 0.325228 | 0.764998 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 331 | -0.438422 | -1.086676 | -1.468833 | -1.010909 | -1.868426 | 0.254625 | 0.349801 | 0.379672 | -0.057788 | -0.660853 | -0.032707 | -1.078504 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | -2.171982 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.034520 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 332 | -0.438422 | 1.869874 | 0.311163 | 1.333581 | 1.061787 | 1.169781 | -1.716872 | 0.379672 | -0.057788 | 0.246200 | -0.347176 | 0.122861 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 1.121144 | 0.931603 | -1.077862 | -0.491174 | -0.339394 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 333 | -0.438422 | 0.665354 | 0.492137 | -0.270544 | 0.085049 | 0.254625 | -1.126394 | 0.379672 | 0.845911 | -1.567907 | 0.739865 | 2.125136 | 0.216054 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | -1.396086 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 334 | -0.438422 | 0.884358 | -0.628417 | -0.147150 | 1.061787 | 1.169781 | 0.448214 | 0.379672 | -0.057788 | 1.153254 | -0.596200 | 2.525591 | -0.330589 | -0.426230 | -1.584178 | 1.415991 | 0.092620 | 0.155707 | 0.338096 | 0.488508 | 1.317193 | 2.114728 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 335 | -0.438422 | 0.336849 | 0.797067 | -1.010909 | -0.891688 | -0.660531 | -0.437503 | -2.432006 | -0.057788 | 1.153254 | 0.202719 | -0.277594 | 1.855984 | 2.346151 | 0.266233 | 2.589994 | -0.678774 | -0.620189 | -1.077862 | -0.491174 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 336 | 2.280906 | -0.867672 | -1.201090 | -0.147150 | 1.061787 | -0.660531 | 0.546627 | -2.432006 | -0.961486 | -1.567907 | -0.931492 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.550208 | 0.931603 | -1.077862 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 337 | -0.438422 | -0.867672 | -0.159867 | -0.023755 | 2.038524 | -0.660531 | -1.766079 | -1.026167 | -0.961486 | 1.153254 | -0.535432 | -1.078504 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | -0.935905 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 338 | -0.438422 | -0.758170 | -0.576356 | -0.517332 | 0.085049 | 1.169781 | -1.766079 | -1.026167 | -0.057788 | 0.246200 | -0.081790 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | 2.589994 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 1.317193 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 339 | -0.438422 | -1.086676 | 0.811941 | -0.147150 | 1.061787 | -0.660531 | -0.486709 | 0.379672 | -0.057788 | -0.660853 | -0.061392 | -0.678049 | 0.762698 | -0.426230 | -1.584178 | 0.241988 | -0.421642 | 0.155707 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 340 | -0.438422 | 0.008343 | 0.965646 | -0.517332 | -0.891688 | 1.169781 | -0.240677 | 0.379672 | -0.057788 | 1.153254 | -0.033132 | 1.724681 | 0.216054 | -0.426230 | 0.266233 | 1.415991 | -0.421642 | -0.620189 | -1.077862 | -0.164613 | -0.615492 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 341 | -0.438422 | 0.117845 | -1.139112 | 0.716610 | -0.891688 | 0.254625 | 1.284725 | -1.026167 | 0.845911 | 1.153254 | 1.063895 | -1.078504 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | 0.092620 | 0.155707 | 0.338096 | 0.651788 | 1.593291 | -0.058285 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 342 | -0.438422 | -0.648668 | 1.064810 | -0.270544 | 1.061787 | 0.254625 | -1.323220 | 0.379672 | 0.845911 | 1.153254 | 0.136001 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | -0.035946 | -0.620189 | -1.077862 | 0.651788 | 1.317193 | 0.562576 | 1.647603 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 343 | -0.438422 | -0.867672 | -1.632453 | 0.099639 | -1.868426 | 1.169781 | -1.323220 | -1.026167 | -0.057788 | -0.660853 | 0.375039 | -0.678049 | -0.330589 | -0.426230 | -1.584178 | 1.415991 | -0.550208 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 344 | -0.438422 | -0.210661 | 1.223472 | -0.517332 | 1.061787 | 0.254625 | -0.191470 | 0.379672 | 0.845911 | -0.660853 | 0.338281 | -1.078504 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | 0.735447 | 1.707500 | 0.338096 | 1.468189 | 0.488900 | -0.679146 | 2.488664 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 345 | -0.438422 | -1.524683 | 1.255701 | 2.073946 | -1.868426 | 0.254625 | 0.841867 | 0.379672 | -0.961486 | 1.153254 | -0.764696 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 1.415991 | -0.935905 | -0.620189 | -1.077862 | -0.491174 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 346 | -0.438422 | 0.446350 | -0.792038 | -0.393938 | 0.085049 | 1.169781 | 1.432345 | -1.026167 | -0.057788 | -0.660853 | -0.100063 | 1.324226 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 347 | -0.438422 | 1.103362 | 1.255701 | -0.640727 | -1.868426 | -0.660531 | 1.629171 | 0.379672 | -0.057788 | 0.246200 | -0.749398 | 0.122861 | 1.036019 | -0.426230 | -1.584178 | -0.932014 | -0.807339 | 0.155707 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 348 | -0.438422 | 0.555852 | 0.018629 | 1.703764 | 2.038524 | -1.575686 | -1.077188 | 0.379672 | 1.749610 | 1.153254 | 2.016225 | -0.277594 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | 0.606882 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 349 | -0.438422 | -0.867672 | -0.140034 | -0.887515 | 0.085049 | 1.169781 | -0.240677 | 0.379672 | -0.057788 | 0.246200 | -0.393921 | -0.678049 | -0.330589 | -0.426230 | -1.584178 | 0.241988 | -0.935905 | 0.155707 | -1.077862 | -0.491174 | -0.339394 | -0.679146 | -0.595227 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 350 | -0.438422 | 0.555852 | -0.640813 | -0.887515 | -1.868426 | 0.254625 | -0.683535 | 0.379672 | -0.961486 | 0.246200 | -0.808892 | -1.078504 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.935905 | 1.707500 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -1.155935 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 351 | -0.438422 | -0.539166 | 0.643362 | -0.887515 | 0.085049 | 0.254625 | 0.448214 | 0.379672 | -0.961486 | -0.660853 | -0.878160 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -0.421642 | 0.931603 | 0.338096 | 0.161947 | -1.167687 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 352 | -0.438422 | 1.212863 | -0.675520 | 2.444129 | -1.868426 | -1.575686 | 1.235519 | 0.379672 | 0.845911 | 0.246200 | 1.275099 | 0.122861 | 1.582663 | 2.346151 | -0.658973 | 0.241988 | 0.478316 | 0.155707 | -2.493820 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 353 | -0.438422 | 0.008343 | 1.280492 | -0.393938 | 0.085049 | 0.254625 | -0.732742 | 1.785511 | -0.057788 | -1.567907 | -0.112387 | 0.523316 | -0.603911 | -0.426230 | -1.584178 | 1.415991 | 0.221185 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | 1.183437 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 354 | -0.438422 | -0.758170 | -0.400340 | 1.950552 | -0.891688 | 1.169781 | 0.940280 | 0.379672 | -0.057788 | 0.246200 | -0.375435 | 1.724681 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -0.935905 | -0.620189 | 1.754054 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 355 | -0.438422 | -1.196177 | 0.323558 | -1.010909 | 0.085049 | 0.254625 | -0.437503 | 0.379672 | -0.057788 | 0.246200 | -0.256447 | -0.678049 | 0.489376 | -0.426230 | -0.658973 | 0.241988 | -0.421642 | 0.155707 | 0.338096 | 0.161947 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 356 | -0.438422 | 0.555852 | 1.312720 | -0.887515 | 1.061787 | -1.575686 | 1.579964 | -1.026167 | -0.057788 | 1.153254 | 0.059084 | 0.122861 | 2.129306 | 2.346151 | -0.658973 | -0.932014 | 0.349751 | 2.483396 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 357 | 2.280906 | -1.743687 | -0.115243 | -1.010909 | -1.868426 | -1.575686 | 1.629171 | -1.026167 | -0.961486 | -0.660853 | -0.919805 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -1.064470 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 358 | -0.438422 | -0.101159 | 0.105397 | -1.010909 | 2.038524 | 1.169781 | -1.027981 | 0.379672 | -0.057788 | 1.153254 | 0.031886 | 0.523316 | -0.057267 | -0.426230 | -0.658973 | -0.932014 | -0.550208 | 2.483396 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 359 | -0.438422 | -0.101159 | -0.648250 | -0.764121 | 1.061787 | -1.575686 | -0.880361 | -1.026167 | 0.845911 | 1.153254 | 0.679096 | 0.523316 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | 0.606882 | -0.620189 | 0.338096 | 0.978348 | 1.317193 | -0.368715 | 2.208310 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 360 | -0.438422 | 2.198380 | -0.519337 | -1.010909 | 1.061787 | 1.169781 | 1.087899 | 0.379672 | -0.057788 | 0.246200 | 0.053559 | -0.277594 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | 0.478316 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 361 | -0.438422 | 0.336849 | 0.913585 | 0.099639 | 1.061787 | 1.169781 | -0.978775 | 1.785511 | -0.961486 | 0.246200 | -0.911519 | 0.122861 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 362 | -0.438422 | -1.743687 | 0.229352 | -0.023755 | -0.891688 | -1.575686 | -1.323220 | 0.379672 | -0.961486 | 1.153254 | -0.827165 | -0.678049 | 2.402628 | 2.346151 | 0.266233 | -0.932014 | -1.064470 | 0.155707 | -1.077862 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 363 | 2.280906 | -0.429664 | -1.121758 | -0.517332 | 0.085049 | 1.169781 | -1.569253 | 0.379672 | -0.961486 | 0.246200 | -0.775957 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | -0.932014 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 364 | -0.438422 | 0.008343 | 0.293809 | 0.099639 | 0.085049 | 0.254625 | 1.579964 | 0.379672 | -0.961486 | -1.567907 | -0.648258 | 1.324226 | 1.309341 | 2.346151 | -0.658973 | 0.241988 | 0.735447 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 365 | -0.438422 | 0.993860 | 0.846649 | -0.270544 | 1.061787 | 0.254625 | -1.766079 | 0.379672 | -0.057788 | 0.246200 | -0.264521 | -0.277594 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | -0.550208 | -0.620189 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 366 | 2.280906 | 0.446350 | -1.634933 | -0.640727 | 0.085049 | -1.575686 | -0.486709 | 0.379672 | -0.057788 | -0.660853 | 0.606004 | -0.678049 | 0.762698 | -0.426230 | 0.266233 | -0.932014 | -0.421642 | 1.707500 | 0.338096 | 0.161947 | 0.764998 | 1.493867 | 0.806541 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 367 | -0.438422 | 1.431867 | 0.603697 | 0.099639 | 0.085049 | 1.169781 | 1.678377 | -1.026167 | 0.845911 | 1.153254 | 0.848442 | 1.324226 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | 1.121144 | -0.620189 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 368 | 2.280906 | 0.336849 | -0.563960 | 1.580370 | -0.891688 | 0.254625 | 0.103769 | -1.026167 | -0.057788 | 0.246200 | -0.026120 | -0.277594 | -0.877232 | -0.426230 | -1.584178 | 1.415991 | -0.421642 | 2.483396 | 0.338096 | -0.164613 | -0.063296 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 369 | -0.438422 | -0.648668 | -0.977970 | -0.023755 | 1.061787 | 0.254625 | -1.175601 | -1.026167 | -0.961486 | -0.660853 | -0.817178 | -1.078504 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | -1.064470 | 1.707500 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 370 | 2.280906 | -1.743687 | -1.602704 | 0.346427 | 0.085049 | 0.254625 | 1.186312 | 1.785511 | -0.961486 | -0.660853 | -0.804642 | -0.678049 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | -1.321601 | -2.171982 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 371 | -0.438422 | -0.867672 | 1.191244 | 1.703764 | 0.085049 | 1.169781 | -0.585122 | 0.379672 | -0.961486 | 1.153254 | -0.914069 | 2.525591 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | 0.931603 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 372 | -0.438422 | -0.210661 | -0.117722 | -0.023755 | 1.061787 | 0.254625 | 1.530758 | -1.026167 | -0.057788 | -0.660853 | 0.007876 | 2.525591 | 1.036019 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | 1.707500 | 0.338096 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 373 | -0.438422 | -1.086676 | 1.652357 | -1.010909 | -0.891688 | 1.169781 | 0.792660 | 0.379672 | -0.961486 | -0.660853 | -0.570916 | -0.678049 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | -0.807339 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 374 | -0.438422 | -0.977174 | -1.235797 | -0.023755 | 1.061787 | -0.660531 | 1.284725 | 0.379672 | -0.057788 | 1.153254 | -0.265584 | -0.678049 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | -0.550208 | -1.396086 | 0.338096 | -0.001333 | 0.212802 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 375 | -0.438422 | 1.322365 | 1.136704 | -0.270544 | 0.085049 | -0.660531 | -1.716872 | -1.026167 | 0.845911 | 0.246200 | 0.948094 | 2.125136 | 2.402628 | 2.346151 | 0.266233 | -0.932014 | 1.892537 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 376 | -0.438422 | 1.541369 | 0.930938 | 0.593216 | -0.891688 | 0.254625 | 1.038693 | 0.379672 | -0.057788 | 1.153254 | -0.332939 | 0.523316 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 0.864013 | -0.620189 | -1.077862 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 377 | -0.438422 | -0.101159 | -1.173819 | -0.887515 | 0.085049 | 1.169781 | 1.481551 | 0.379672 | -0.961486 | 0.246200 | -0.841401 | 0.523316 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | -0.678774 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 378 | 2.280906 | -0.320163 | 1.387093 | 1.210187 | 0.085049 | -1.575686 | 0.054562 | 1.785511 | -0.057788 | 1.153254 | -0.254747 | 2.125136 | -0.603911 | -0.426230 | -0.658973 | -0.932014 | -0.293077 | 0.155707 | -1.077862 | -0.327893 | -0.615492 | -0.679146 | -0.034520 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 379 | -0.438422 | 1.979376 | 1.260659 | -0.887515 | 0.085049 | 0.254625 | 1.530758 | 0.379672 | 1.749610 | 1.153254 | 2.157948 | -0.277594 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | 2.406799 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 380 | -0.438422 | -1.415181 | 1.409405 | 0.099639 | 1.061787 | 1.169781 | 0.546627 | 0.379672 | -0.057788 | 0.246200 | -0.476575 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | -0.620189 | 1.754054 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 381 | -0.438422 | -0.758170 | -1.488665 | -0.887515 | -1.868426 | 0.254625 | 0.300595 | 0.379672 | -0.961486 | -0.660853 | -0.855637 | -0.678049 | 0.762698 | -0.426230 | -1.584178 | 0.241988 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 382 | 2.280906 | -1.196177 | -0.563960 | -0.764121 | -1.868426 | 0.254625 | 0.349801 | 0.379672 | -0.961486 | -1.567907 | -0.722625 | -1.078504 | 1.855984 | 2.346151 | 0.266233 | -0.932014 | -0.550208 | -0.620189 | 0.338096 | -0.164613 | -0.063296 | -0.679146 | -0.034520 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 383 | -0.438422 | -1.634185 | -1.362231 | 0.223033 | 0.085049 | -1.575686 | -1.126394 | 0.379672 | -0.961486 | -0.660853 | -0.904932 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -1.193036 | -1.396086 | 0.338096 | -0.817734 | -0.891589 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 384 | -0.438422 | -0.101159 | -1.582871 | -0.887515 | -0.891688 | -0.660531 | -0.240677 | -1.026167 | 0.845911 | 0.246200 | 0.232254 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | 1.415991 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 1.317193 | 2.114728 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 385 | 2.280906 | -0.758170 | -0.839141 | -0.640727 | 0.085049 | 0.254625 | -1.274014 | 0.379672 | -0.961486 | 1.153254 | -0.896220 | 2.525591 | 2.129306 | 2.346151 | 0.266233 | -0.932014 | -1.064470 | 0.931603 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 386 | -0.438422 | 0.008343 | 0.754922 | 0.593216 | 0.085049 | 1.169781 | 1.432345 | 0.379672 | -0.961486 | -1.567907 | -0.737074 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | 0.864013 | -0.620189 | -1.077862 | 1.794749 | 0.764998 | 3.046019 | 3.610079 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 387 | -0.438422 | 0.336849 | -0.107806 | -0.887515 | -0.891688 | 1.169781 | -0.978775 | 0.379672 | -0.057788 | -0.660853 | -0.167419 | 1.724681 | -0.877232 | -0.426230 | 0.266233 | 1.415991 | -0.421642 | 1.707500 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 388 | -0.438422 | 0.555852 | -1.491145 | -1.010909 | 1.061787 | -0.660531 | 1.432345 | 0.379672 | -0.961486 | -1.567907 | -0.834389 | 0.122861 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | -0.421642 | 1.707500 | 0.338096 | -0.327893 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 389 | -0.438422 | 0.008343 | 1.245784 | 0.099639 | 1.061787 | 0.254625 | -0.831155 | 0.379672 | -0.057788 | -0.660853 | -0.489961 | -0.277594 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 0.864013 | -0.620189 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 390 | -0.438422 | 0.665354 | 0.445034 | 0.346427 | 0.085049 | -1.575686 | -0.339090 | -1.026167 | 1.749610 | -0.660853 | 1.664360 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 1.763972 | 0.155707 | 0.338096 | 2.937711 | 1.593291 | 0.252146 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 391 | -0.438422 | 0.336849 | -0.613542 | -0.887515 | 0.085049 | -0.660531 | 0.595834 | -1.026167 | -0.057788 | 0.246200 | -0.649108 | 1.324226 | 1.855984 | 2.346151 | -0.658973 | 0.241988 | 1.121144 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 392 | -0.438422 | 1.869874 | 0.045899 | -0.517332 | -0.891688 | -1.575686 | 0.989486 | 0.379672 | 2.653309 | -1.567907 | 2.741627 | 0.523316 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 1.635406 | 0.931603 | -1.077862 | -0.491174 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 393 | -0.438422 | -0.320163 | 1.434196 | -0.640727 | 1.061787 | 0.254625 | 0.300595 | 0.379672 | -0.057788 | 0.246200 | 0.007451 | 2.525591 | -0.057267 | -0.426230 | -1.584178 | 0.241988 | -0.678774 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 394 | -0.438422 | -0.648668 | -0.799475 | -0.270544 | -0.891688 | -0.660531 | -1.716872 | 0.379672 | -0.057788 | -1.567907 | -0.466801 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | 0.221185 | 1.707500 | -2.493820 | 0.978348 | 1.593291 | 0.252146 | 2.208310 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 395 | -0.438422 | 0.665354 | -1.213485 | 1.456975 | 0.085049 | 1.169781 | -0.240677 | 0.379672 | -0.961486 | 1.153254 | -0.901957 | 1.724681 | 1.309341 | 2.346151 | -1.584178 | 0.241988 | -0.421642 | -1.396086 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 396 | -0.438422 | 0.665354 | 1.662273 | -0.147150 | 1.061787 | 0.254625 | 0.399008 | 0.379672 | -0.057788 | 0.246200 | -0.420906 | 0.523316 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | 0.155707 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 397 | -0.438422 | -1.305679 | 0.219436 | -0.640727 | -0.891688 | -0.660531 | 1.629171 | -1.026167 | -0.057788 | 1.153254 | -0.428342 | -0.678049 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | -0.807339 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 398 | -0.438422 | 0.008343 | 0.645842 | 1.950552 | 2.038524 | -0.660531 | 0.300595 | 0.379672 | -0.057788 | 0.246200 | -0.436417 | 0.122861 | -0.057267 | -0.426230 | -1.584178 | 1.415991 | 0.478316 | -0.620189 | 0.338096 | 0.978348 | 1.869389 | 2.425158 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 399 | -0.438422 | -0.648668 | -1.173819 | -1.010909 | -0.891688 | 1.169781 | 1.579964 | -1.026167 | -0.961486 | -1.567907 | -0.910456 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -0.935905 | 0.155707 | 0.338096 | -0.491174 | -0.615492 | 0.252146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 400 | -0.438422 | 0.227347 | 1.030102 | -1.010909 | -1.868426 | -0.660531 | -0.683535 | 0.379672 | 2.653309 | 0.246200 | 2.697219 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 1.249709 | 0.155707 | 0.338096 | 2.284590 | 1.041095 | -0.368715 | 0.526188 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 401 | -0.438422 | 2.088878 | 0.256622 | -0.393938 | 0.085049 | 0.254625 | 0.989486 | 1.785511 | 1.749610 | -1.567907 | 1.425534 | 2.525591 | -1.150554 | -0.426230 | 1.191438 | 2.589994 | 3.178192 | -2.171982 | -1.077862 | -0.001333 | 0.764998 | 1.493867 | 0.806541 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 402 | -0.438422 | -0.758170 | 0.692944 | 0.346427 | 0.085049 | -0.660531 | 0.841867 | 0.379672 | -0.057788 | 0.246200 | 0.015738 | -1.078504 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | -0.678774 | 2.483396 | 0.338096 | -0.327893 | -0.063296 | 0.562576 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 403 | -0.438422 | 0.446350 | -0.390423 | -1.010909 | 0.085049 | -0.660531 | -0.831155 | 1.785511 | 0.845911 | -1.567907 | 0.401387 | -0.678049 | 0.216054 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 404 | -0.438422 | -0.977174 | 1.233389 | 0.963398 | -0.891688 | 0.254625 | 0.645041 | 0.379672 | -0.057788 | -1.567907 | -0.413256 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | -1.167687 | -0.368715 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 405 | 2.280906 | -1.305679 | -0.283822 | -0.764121 | 0.085049 | -1.575686 | 1.235519 | 0.379672 | -0.961486 | -1.567907 | -0.525233 | 0.923771 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -0.678774 | 1.707500 | 0.338096 | -0.817734 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 406 | -0.438422 | 1.650871 | -1.198611 | -0.764121 | 0.085049 | 1.169781 | -1.323220 | -1.026167 | 0.845911 | 0.246200 | 0.311508 | -0.277594 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | 2.149668 | 0.931603 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 407 | -0.438422 | 0.884358 | -1.513456 | 0.099639 | -0.891688 | -1.575686 | 0.152975 | 0.379672 | -0.961486 | 1.153254 | -0.817816 | 0.122861 | 1.582663 | 2.346151 | 1.191438 | 1.415991 | -0.421642 | 0.155707 | -1.077862 | -0.817734 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 408 | -0.438422 | 1.650871 | 1.704418 | -0.640727 | -0.891688 | 1.169781 | -1.766079 | 0.379672 | 1.749610 | 1.153254 | 2.135850 | -0.277594 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | 2.535365 | -0.620189 | -2.493820 | -0.327893 | -0.615492 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 409 | -0.438422 | 0.555852 | -0.670562 | 2.444129 | -0.891688 | -1.575686 | 1.284725 | 0.379672 | -0.057788 | 0.246200 | -0.413681 | -0.277594 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | 0.992578 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 410 | -0.438422 | -0.758170 | -1.203569 | -0.887515 | 0.085049 | 0.254625 | -1.126394 | -2.432006 | -0.057788 | 1.153254 | -0.087527 | -0.277594 | 1.309341 | 2.346151 | 0.266233 | -0.932014 | -0.035946 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 411 | -0.438422 | 2.526886 | -0.943263 | -0.270544 | 0.085049 | -1.575686 | -1.224807 | 0.379672 | 2.653309 | -1.567907 | 2.775623 | 0.923771 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 2.792496 | 1.707500 | -2.493820 | 3.590832 | 1.041095 | 2.735589 | 1.647603 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 412 | -0.438422 | 0.993860 | 1.692023 | 1.086793 | 0.085049 | 0.254625 | 1.038693 | 0.379672 | -0.057788 | 0.246200 | -0.359712 | -0.277594 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 0.992578 | 1.707500 | -1.077862 | 0.488508 | 0.764998 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 413 | -0.438422 | 0.555852 | 1.401968 | 2.320735 | 1.061787 | 1.169781 | 1.087899 | -1.026167 | -0.057788 | 1.153254 | -0.420693 | -1.078504 | -1.150554 | -0.426230 | 1.191438 | 2.589994 | -0.550208 | 0.931603 | 1.754054 | -0.164613 | 0.212802 | -0.679146 | -0.034520 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 414 | 2.280906 | -1.415181 | 1.600296 | -1.010909 | -1.868426 | -1.575686 | -0.191470 | 0.379672 | -0.961486 | -0.660853 | -0.701377 | -0.678049 | 0.216054 | -0.426230 | -0.658973 | -0.932014 | -0.678774 | 0.931603 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 415 | 2.280906 | -0.320163 | -1.255630 | -0.393938 | -0.891688 | 1.169781 | -1.618459 | -2.432006 | -0.961486 | 0.246200 | -0.882197 | -1.078504 | 0.216054 | -0.426230 | 1.191438 | 0.241988 | -1.064470 | 0.155707 | -1.077862 | -0.817734 | -0.615492 | -0.368715 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 |
| 416 | -0.438422 | 0.117845 | 1.704418 | -0.887515 | -0.891688 | 1.169781 | -1.175601 | 0.379672 | -0.961486 | 1.153254 | -1.020095 | -0.678049 | 2.129306 | 2.346151 | 0.266233 | 0.241988 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 417 | -0.438422 | 0.336849 | 1.476341 | -0.887515 | 1.061787 | 0.254625 | 0.645041 | 0.379672 | 2.653309 | 0.246200 | 2.451593 | -1.078504 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | 1.249709 | -0.620189 | 0.338096 | 2.121310 | 2.973780 | -0.368715 | 2.208310 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 418 | -0.438422 | -1.196177 | 1.354865 | 1.703764 | 0.085049 | -1.575686 | 1.186312 | 0.379672 | -0.961486 | 1.153254 | -0.768521 | -0.678049 | 1.855984 | 2.346151 | -0.658973 | 1.415991 | -1.064470 | 0.155707 | -2.493820 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 419 | -0.438422 | -0.758170 | 1.481299 | -0.764121 | 0.085049 | 0.254625 | -0.634329 | 0.379672 | -0.961486 | 1.153254 | -0.936166 | 0.523316 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | -0.293077 | 0.155707 | -2.493820 | -0.327893 | -0.339394 | -0.368715 | -0.034520 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 420 | -0.438422 | -0.867672 | 0.454951 | -0.764121 | 1.061787 | -0.660531 | 1.333932 | -1.026167 | 0.845911 | 0.246200 | 1.154199 | -0.678049 | 0.762698 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | -0.615492 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 421 | 2.280906 | -0.867672 | -0.977970 | 1.950552 | 2.038524 | 0.254625 | 0.251388 | -1.026167 | -0.961486 | -0.660853 | -0.840763 | 0.923771 | 0.216054 | -0.426230 | -0.658973 | -0.932014 | -0.678774 | -0.620189 | 1.754054 | -0.817734 | -0.615492 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 422 | 2.280906 | -1.962690 | -0.777163 | -0.887515 | -0.891688 | -1.575686 | -0.683535 | -1.026167 | -0.961486 | 1.153254 | -0.836939 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -1.321601 | 0.155707 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 423 | -0.438422 | -0.758170 | 1.476341 | 1.580370 | 1.061787 | 0.254625 | 0.152975 | 0.379672 | 0.845911 | -1.567907 | 0.405636 | -1.078504 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | 0.325228 | 1.041095 | 1.493867 | 1.086895 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 424 | -0.438422 | 2.198380 | -1.468833 | 2.444129 | 0.085049 | -1.575686 | -0.486709 | -1.026167 | 1.749610 | 1.153254 | 1.618040 | 0.122861 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | 2.663930 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 425 | -0.438422 | 1.431867 | 0.735089 | 2.444129 | 1.061787 | -0.660531 | 1.087899 | -1.026167 | 1.749610 | 0.246200 | 2.240177 | -1.078504 | -0.057267 | -0.426230 | -0.658973 | 0.241988 | 2.149668 | -0.620189 | 0.338096 | 3.264271 | 1.593291 | 3.977310 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 426 | -0.438422 | -0.758170 | 0.777234 | -0.887515 | 0.085049 | 0.254625 | -0.831155 | 0.379672 | -0.961486 | 1.153254 | -0.836939 | -1.078504 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | 0.092620 | -0.620189 | -1.077862 | 0.651788 | 0.764998 | 1.183437 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 427 | -0.438422 | 2.526886 | 1.726730 | 2.320735 | 0.085049 | 0.254625 | 0.694247 | -1.026167 | 0.845911 | -1.567907 | 0.799572 | 0.523316 | 1.036019 | -0.426230 | 1.191438 | -0.932014 | 1.378275 | 1.707500 | 1.754054 | 1.794749 | 2.421585 | 3.356449 | 1.927956 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 428 | -0.438422 | 1.103362 | 0.447513 | -0.887515 | -0.891688 | -1.575686 | -0.043851 | 0.379672 | -0.057788 | 1.153254 | -0.304467 | 0.923771 | -0.603911 | -0.426230 | 0.266233 | 2.589994 | 1.121144 | -0.620189 | 0.338096 | -0.327893 | -1.167687 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 429 | -0.438422 | 0.993860 | 0.511970 | -0.887515 | 0.085049 | -1.575686 | -0.732742 | 0.379672 | 1.749610 | 0.246200 | 2.413347 | 1.324226 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | 1.892537 | -0.620189 | -2.493820 | -0.654454 | -0.615492 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 430 | -0.438422 | -0.210661 | -1.632453 | 1.580370 | 0.085049 | 1.169781 | -0.978775 | -2.432006 | -0.961486 | 0.246200 | -0.482949 | -1.078504 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | 0.562576 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 431 | -0.438422 | 1.869874 | -0.630896 | -0.147150 | 1.061787 | 0.254625 | -1.175601 | 0.379672 | -0.057788 | 0.246200 | -0.578565 | 1.724681 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | 0.992578 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 432 | -0.438422 | -0.320163 | 1.240826 | -0.887515 | 1.061787 | 1.169781 | -0.191470 | -1.026167 | -0.961486 | 0.246200 | -0.793593 | 0.122861 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | 0.349751 | 0.155707 | 0.338096 | -0.001333 | -0.339394 | 0.873006 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 433 | -0.438422 | 0.993860 | 0.799546 | 0.099639 | 0.085049 | 0.254625 | 1.383138 | -1.026167 | 0.845911 | 1.153254 | 0.545660 | -0.277594 | 1.036019 | -0.426230 | 0.266233 | 0.241988 | 0.478316 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 434 | -0.438422 | -0.648668 | 1.168932 | -0.023755 | -1.868426 | 0.254625 | -1.618459 | 0.379672 | 0.845911 | -0.660853 | 0.880739 | -0.678049 | 2.675949 | 2.346151 | 1.191438 | 0.241988 | 0.221185 | 2.483396 | 1.754054 | 0.978348 | 1.041095 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 435 | 2.280906 | -0.429664 | 1.176369 | 0.716610 | -1.868426 | -0.660531 | -0.486709 | 0.379672 | 0.845911 | 0.246200 | 1.510100 | 1.724681 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 0.478316 | -0.620189 | 1.754054 | -0.001333 | 0.488900 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 436 | 2.280906 | -0.429664 | -0.534211 | 0.099639 | -1.868426 | -1.575686 | -1.372427 | -2.432006 | -0.961486 | 1.153254 | -0.657607 | 1.724681 | -0.603911 | -0.426230 | -1.584178 | 2.589994 | -0.421642 | -0.620189 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 437 | -0.438422 | -0.758170 | -0.965575 | -0.270544 | -1.868426 | 1.169781 | -0.437503 | 0.379672 | -0.961486 | -0.660853 | -0.747910 | -1.078504 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | -0.935905 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 438 | -0.438422 | -0.210661 | 1.173890 | 0.840004 | 0.085049 | 1.169781 | 0.300595 | 0.379672 | 0.845911 | 0.246200 | 0.239903 | 0.523316 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 439 | 2.280906 | -0.648668 | -0.665604 | 1.333581 | 0.085049 | -1.575686 | 0.005356 | 0.379672 | 0.845911 | 0.246200 | 0.705656 | 0.122861 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | 0.092620 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 440 | 2.280906 | -0.320163 | 0.459909 | 1.703764 | 0.085049 | -0.660531 | -1.126394 | 0.379672 | 0.845911 | -1.567907 | 0.732429 | 2.525591 | -0.057267 | -0.426230 | 0.266233 | 2.589994 | -0.035946 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 441 | -0.438422 | 0.555852 | 1.664753 | -0.517332 | -0.891688 | -0.660531 | 1.530758 | 0.379672 | -0.961486 | 0.246200 | -0.937016 | 0.523316 | 0.489376 | -0.426230 | 1.191438 | 0.241988 | -0.421642 | 0.931603 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 442 | -0.438422 | -0.101159 | -0.415214 | 0.099639 | 1.061787 | -0.660531 | -1.667666 | 0.379672 | 0.845911 | 1.153254 | 0.738803 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 0.155707 | -1.077862 | 0.488508 | -0.339394 | 2.114728 | 0.806541 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 443 | 2.280906 | -1.634185 | 1.401968 | -0.640727 | -1.868426 | 0.254625 | 1.629171 | -1.026167 | -0.961486 | 0.246200 | -0.554342 | 0.923771 | 0.216054 | -0.426230 | 0.266233 | -0.932014 | -0.935905 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 444 | -0.438422 | 1.212863 | -1.585350 | -0.887515 | 2.038524 | -0.660531 | -1.421633 | 0.379672 | -0.057788 | 1.153254 | -0.520983 | -0.277594 | -0.330589 | -0.426230 | -1.584178 | 0.241988 | 0.349751 | -0.620189 | 0.338096 | 0.325228 | 0.764998 | 1.183437 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 445 | -0.438422 | 1.979376 | 0.779713 | 1.086793 | 2.038524 | -1.575686 | 0.841867 | 0.379672 | 1.749610 | -0.660853 | 2.195344 | 0.122861 | 2.129306 | 2.346151 | 1.191438 | -0.932014 | 3.306758 | -0.620189 | 0.338096 | 0.488508 | 1.317193 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 446 | -0.438422 | 0.446350 | -1.327524 | 0.099639 | -0.891688 | 1.169781 | -0.486709 | 0.379672 | -0.057788 | 1.153254 | -0.057992 | 1.724681 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | 0.606882 | 0.155707 | 0.338096 | 1.141629 | -0.339394 | -0.368715 | 1.647603 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 447 | -0.438422 | -0.210661 | -0.454880 | -1.010909 | 0.085049 | -0.660531 | 0.940280 | 0.379672 | -0.057788 | 0.246200 | -0.379472 | 2.525591 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | 0.478316 | -0.620189 | 0.338096 | 0.651788 | 1.317193 | 1.183437 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 448 | -0.438422 | 0.336849 | -1.240755 | -0.393938 | 0.085049 | -0.660531 | 0.448214 | 0.379672 | 1.749610 | 0.246200 | 1.430846 | 1.724681 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | 1.378275 | 0.155707 | 0.338096 | 2.121310 | 0.488900 | 0.873006 | 2.488664 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 449 | -0.438422 | 0.227347 | -0.891202 | -0.147150 | -1.868426 | 0.254625 | -0.880361 | 0.379672 | -0.961486 | 0.246200 | -0.583877 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | -0.421642 | 0.155707 | 0.338096 | 0.161947 | -0.339394 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 450 | -0.438422 | -0.648668 | 0.063253 | -0.887515 | -1.868426 | -0.660531 | 0.546627 | 0.379672 | -0.057788 | 1.153254 | 0.016800 | 0.523316 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | 1.754054 | -0.164613 | 0.212802 | -0.679146 | 0.245834 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 451 | -0.438422 | 0.555852 | -1.198611 | 1.827158 | 0.085049 | 1.169781 | -0.486709 | 0.379672 | 0.845911 | -1.567907 | 0.191883 | -0.678049 | 1.582663 | 2.346151 | 1.191438 | 0.241988 | -0.164511 | 1.707500 | -1.077862 | 0.488508 | 1.317193 | 0.873006 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 452 | -0.438422 | 0.884358 | -0.598668 | -0.887515 | 0.085049 | 1.169781 | -0.240677 | 0.379672 | -0.057788 | -0.660853 | -0.360774 | -1.078504 | 1.036019 | -0.426230 | -0.658973 | 0.241988 | -0.293077 | 0.155707 | 1.754054 | 0.161947 | 0.764998 | 0.252146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 453 | 2.280906 | -1.196177 | -0.933347 | 0.963398 | 1.061787 | -0.660531 | -0.388296 | 0.379672 | -0.961486 | 0.246200 | -0.799330 | -1.078504 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | -0.421642 | -0.620189 | -1.077862 | -0.001333 | 0.764998 | -0.368715 | -1.155935 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 454 | -0.438422 | -0.867672 | -1.414292 | 1.210187 | 0.085049 | 1.169781 | -1.569253 | 0.379672 | -0.057788 | 1.153254 | -0.476150 | 0.523316 | -0.877232 | -0.426230 | -0.658973 | 1.415991 | -0.421642 | -0.620189 | 1.754054 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 455 | -0.438422 | -0.429664 | 0.296288 | -1.010909 | 2.038524 | -1.575686 | 1.432345 | 1.785511 | 1.749610 | 0.246200 | 2.057020 | 0.523316 | 1.036019 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | -0.164613 | -0.891589 | -0.679146 | 0.245834 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 456 | -0.438422 | -0.648668 | -0.283822 | -0.270544 | 0.085049 | 0.254625 | -1.077188 | -1.026167 | 0.845911 | 1.153254 | 1.073882 | 2.525591 | 1.582663 | 2.346151 | 0.266233 | 0.241988 | -0.164511 | 0.155707 | -1.077862 | -0.327893 | -0.063296 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 457 | 2.280906 | -2.072192 | 1.248263 | -0.517332 | 0.085049 | -0.660531 | 0.152975 | 0.379672 | -0.961486 | -0.660853 | -0.982699 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -1.450167 | 0.155707 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 458 | -0.438422 | 0.336849 | 0.722694 | 2.320735 | 0.085049 | 0.254625 | -0.388296 | -2.432006 | 0.845911 | -1.567907 | 0.941083 | 0.122861 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | 1.121144 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -0.875581 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 459 | -0.438422 | 0.446350 | -0.727581 | -0.887515 | 1.061787 | -1.575686 | -0.191470 | -1.026167 | -0.057788 | 0.246200 | 0.065458 | -0.277594 | 0.489376 | -0.426230 | -1.584178 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 460 | -0.438422 | -1.196177 | -0.068140 | 2.444129 | -0.891688 | -1.575686 | -1.027981 | 0.379672 | -0.057788 | 0.246200 | -0.466801 | 0.923771 | -0.877232 | -0.426230 | -1.584178 | 1.415991 | -0.421642 | 1.707500 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 461 | -0.438422 | -0.210661 | -1.506019 | -1.010909 | 0.085049 | -1.575686 | 0.694247 | 0.379672 | -0.057788 | 0.246200 | -0.349300 | -0.678049 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | -0.807339 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 462 | -0.438422 | -0.320163 | -1.349836 | 1.456975 | 1.061787 | 1.169781 | 0.399008 | 1.785511 | -0.057788 | 1.153254 | -0.247736 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 0.764998 | 0.873006 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 463 | 2.280906 | -1.196177 | -0.821787 | 1.827158 | 0.085049 | 0.254625 | 0.005356 | -2.432006 | -0.961486 | 1.153254 | -0.884534 | -0.678049 | 0.762698 | -0.426230 | -0.658973 | -0.932014 | -1.321601 | 0.155707 | -2.493820 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 464 | -0.438422 | 0.008343 | -0.008641 | -1.010909 | 0.085049 | -0.660531 | -0.339090 | 0.379672 | 0.845911 | 1.153254 | 0.209944 | 0.523316 | 0.489376 | -0.426230 | 1.191438 | -0.932014 | 0.092620 | 0.155707 | 1.754054 | -0.164613 | 0.212802 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 465 | -0.438422 | 0.993860 | 0.573948 | 1.086793 | -1.868426 | -1.575686 | 0.989486 | 0.379672 | 0.845911 | 0.246200 | 0.855029 | 0.923771 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 2.149668 | 0.155707 | -1.077862 | -0.817734 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 466 | -0.438422 | 0.446350 | 1.173890 | -0.887515 | 2.038524 | -0.660531 | 1.235519 | 0.379672 | 1.749610 | -1.567907 | 2.144349 | 1.724681 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | 1.378275 | -0.620189 | 0.338096 | 1.794749 | 3.249878 | 2.735589 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 467 | -0.438422 | 0.008343 | -1.637412 | -0.023755 | 1.061787 | -1.575686 | 0.152975 | 0.379672 | 0.845911 | -0.660853 | 0.495302 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.293077 | 2.483396 | 0.338096 | 0.325228 | 0.212802 | 1.493867 | 0.806541 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 468 | -0.438422 | 1.650871 | 0.380578 | -0.393938 | -0.891688 | 1.169781 | 0.595834 | 0.379672 | -0.057788 | -1.567907 | -0.196741 | 0.122861 | -0.877232 | -0.426230 | -0.658973 | 1.415991 | 0.864013 | 0.155707 | 0.338096 | 0.488508 | 1.317193 | 1.183437 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 469 | 2.280906 | -0.539166 | 1.664753 | 0.223033 | 1.061787 | 1.169781 | -0.289883 | 1.785511 | -0.057788 | 0.246200 | -0.381597 | 2.125136 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | -0.620189 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 470 | -0.438422 | -1.415181 | -0.663124 | 1.827158 | 0.085049 | 1.169781 | -1.372427 | 0.379672 | -0.961486 | 1.153254 | -0.871785 | -1.078504 | -0.603911 | -0.426230 | 0.266233 | 1.415991 | -1.064470 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.875581 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 471 | -0.438422 | 0.117845 | 1.716814 | 0.099639 | 0.085049 | 0.254625 | 0.497421 | 0.379672 | -0.057788 | 0.246200 | 0.705656 | 0.122861 | 1.036019 | -0.426230 | 0.266233 | 0.241988 | 0.864013 | 0.931603 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 472 | -0.438422 | 0.008343 | -0.883765 | -1.010909 | 1.061787 | -0.660531 | -0.043851 | 0.379672 | -0.057788 | -0.660853 | -0.011884 | 1.324226 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -0.421642 | -0.620189 | -1.077862 | -0.164613 | 0.212802 | 0.562576 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 473 | -0.438422 | 1.322365 | 1.097038 | 1.086793 | 1.061787 | 1.169781 | -0.388296 | -1.026167 | 2.653309 | 0.246200 | 2.762025 | -0.678049 | 0.489376 | -0.426230 | 0.266233 | 0.241988 | 2.535365 | 1.707500 | 0.338096 | 3.917392 | 1.317193 | -0.679146 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 474 | -0.438422 | -1.415181 | -0.276384 | 1.703764 | 0.085049 | -0.660531 | 1.137106 | 1.785511 | -0.961486 | 1.153254 | -0.802730 | -0.678049 | -1.150554 | -0.426230 | -0.658973 | 1.415991 | -0.678774 | 0.155707 | 0.338096 | -0.164613 | 0.212802 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 475 | -0.438422 | -1.196177 | -0.246635 | 2.320735 | -0.891688 | -1.575686 | 0.005356 | 0.379672 | -0.057788 | -0.660853 | -0.049068 | -0.678049 | 1.309341 | 2.346151 | 1.191438 | 1.415991 | -0.678774 | 1.707500 | 1.754054 | -0.327893 | -0.339394 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 476 | -0.438422 | -1.415181 | 0.050857 | 0.963398 | -0.891688 | 1.169781 | 1.383138 | -1.026167 | -0.961486 | -0.660853 | -0.929792 | -0.678049 | 1.582663 | 2.346151 | 1.191438 | 0.241988 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 477 | -0.438422 | 1.431867 | 1.099517 | -0.764121 | 0.085049 | -1.575686 | 1.629171 | 0.379672 | 2.653309 | -0.660853 | 2.485377 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 2.663930 | -0.620189 | 0.338096 | 4.080672 | 0.212802 | 2.425158 | 0.806541 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 478 | -0.438422 | -1.305679 | -0.447443 | 0.469821 | -1.868426 | -0.660531 | -1.274014 | 0.379672 | -0.961486 | 0.246200 | -0.936379 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.550208 | -1.396086 | 0.338096 | -0.001333 | -0.063296 | -0.679146 | 0.526188 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 479 | 2.280906 | -1.415181 | 1.201160 | -0.270544 | 0.085049 | -1.575686 | -0.535916 | 0.379672 | -0.961486 | 0.246200 | -0.768521 | -0.678049 | 0.216054 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | 0.931603 | 0.338096 | -0.164613 | -0.339394 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 480 | 2.280906 | -0.758170 | -0.878806 | 0.346427 | 1.061787 | -0.660531 | 0.399008 | -1.026167 | -0.961486 | -1.567907 | -0.949765 | -0.678049 | 0.762698 | -0.426230 | 0.266233 | 0.241988 | -1.321601 | -0.620189 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 481 | -0.438422 | -0.320163 | -1.359752 | -1.010909 | -0.891688 | -0.660531 | 0.841867 | -1.026167 | -0.961486 | 1.153254 | -0.612136 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | 0.155707 | 0.338096 | -0.164613 | 0.212802 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 482 | 2.280906 | -0.648668 | 1.394530 | 0.469821 | 1.061787 | -0.660531 | -0.978775 | 0.379672 | -0.057788 | -1.567907 | -0.482312 | -0.277594 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | -0.293077 | -0.620189 | -2.493820 | -0.654454 | -0.891589 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 483 | -0.438422 | -0.210661 | -0.655687 | 1.950552 | -0.891688 | -1.575686 | -0.585122 | -1.026167 | -0.057788 | 1.153254 | -0.599600 | 0.523316 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 484 | -0.438422 | -0.648668 | -0.687915 | -0.393938 | 1.061787 | -1.575686 | 0.005356 | 1.785511 | -0.057788 | 1.153254 | -0.221601 | 0.523316 | 1.855984 | 2.346151 | 1.191438 | 1.415991 | 0.221185 | 0.931603 | 1.754054 | -0.001333 | 0.764998 | 0.873006 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 485 | -0.438422 | -1.086676 | -0.011121 | -0.393938 | 1.061787 | -1.575686 | 0.005356 | -1.026167 | -0.961486 | 0.246200 | -0.917043 | -1.078504 | -0.877232 | -0.426230 | 0.266233 | 1.415991 | -0.678774 | 1.707500 | -1.077862 | -0.327893 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 486 | -0.438422 | 0.008343 | -0.606105 | -0.887515 | 0.085049 | 1.169781 | 0.448214 | 0.379672 | -0.057788 | 0.246200 | 0.658486 | 0.523316 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 0.735447 | 0.155707 | -1.077862 | -0.654454 | -1.167687 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 487 | -0.438422 | -1.853188 | 0.388015 | -1.010909 | 0.085049 | 1.169781 | 0.841867 | -1.026167 | -0.961486 | -0.660853 | -0.779145 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -1.321601 | -2.171982 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 488 | -0.438422 | 0.555852 | -0.447443 | -0.887515 | 1.061787 | 0.254625 | 0.743454 | 0.379672 | -0.057788 | 1.153254 | -0.512909 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | 1.415991 | -0.164511 | 0.931603 | 0.338096 | 0.488508 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 489 | -0.438422 | 0.665354 | -0.050786 | -0.393938 | 1.061787 | -0.660531 | -0.781948 | -1.026167 | 1.749610 | 1.153254 | 2.151148 | 0.523316 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 1.249709 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 490 | -0.438422 | 0.117845 | -1.092009 | -1.010909 | -1.868426 | 0.254625 | -1.126394 | 0.379672 | -0.961486 | -1.567907 | -0.825252 | 0.122861 | 0.489376 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | 0.155707 | -1.077862 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 491 | -0.438422 | 0.665354 | 0.492137 | -0.023755 | 2.038524 | 1.169781 | 0.300595 | 0.379672 | -0.057788 | 0.246200 | -0.175068 | 0.122861 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | 0.161947 | 0.764998 | 0.562576 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 492 | -0.438422 | 1.212863 | 1.074726 | -1.010909 | 1.061787 | 1.169781 | -1.274014 | -1.026167 | 1.749610 | -1.567907 | 1.890862 | 1.724681 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | 1.249709 | 0.155707 | -2.493820 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 493 | -0.438422 | 0.774856 | 0.767318 | -1.010909 | 1.061787 | -1.575686 | -0.781948 | -1.026167 | -0.057788 | 0.246200 | -0.110049 | 0.523316 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | -1.396086 | 1.754054 | -0.817734 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 494 | -0.438422 | -0.320163 | -1.483707 | 0.593216 | 0.085049 | 0.254625 | -1.716872 | 0.379672 | -0.961486 | 0.246200 | -0.833752 | -0.678049 | 0.762698 | -0.426230 | 1.191438 | 1.415991 | -0.421642 | 0.155707 | 0.338096 | 0.161947 | -0.615492 | -0.679146 | 0.526188 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 |
| 495 | 2.280906 | -1.086676 | 1.530881 | -0.887515 | -1.868426 | 0.254625 | 0.940280 | 0.379672 | -0.961486 | -1.567907 | -0.735586 | -1.078504 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | -0.807339 | 0.155707 | 0.338096 | -0.491174 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 |
| 496 | -0.438422 | -1.743687 | 1.339990 | 1.580370 | -1.868426 | 0.254625 | -0.831155 | 0.379672 | -0.961486 | 0.246200 | -0.649320 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -1.064470 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 497 | -0.438422 | 0.774856 | 1.270575 | -0.764121 | 1.061787 | 1.169781 | -1.520046 | 0.379672 | 2.653309 | 1.153254 | 2.764362 | 0.523316 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | 1.892537 | -0.620189 | 1.754054 | -0.817734 | -0.615492 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 498 | -0.438422 | -1.634185 | -0.492066 | -0.393938 | -1.868426 | -1.575686 | 0.152975 | 0.379672 | -0.961486 | 0.246200 | -0.792531 | -1.078504 | 1.309341 | 2.346151 | 1.191438 | -0.932014 | -1.064470 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 499 | -0.438422 | -0.429664 | 1.025144 | -0.147150 | 1.061787 | 0.254625 | -1.323220 | 0.379672 | -0.057788 | 0.246200 | 0.127714 | -1.078504 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.327893 | -1.167687 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 500 | -0.438422 | -0.539166 | -0.387944 | -0.023755 | 1.061787 | -1.575686 | 1.284725 | 0.379672 | -0.057788 | 1.153254 | -0.038444 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | -0.620189 | -1.077862 | -0.164613 | -0.063296 | -0.679146 | 0.245834 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 501 | -0.438422 | -0.758170 | -1.592788 | -0.764121 | 0.085049 | 0.254625 | 0.251388 | 0.379672 | -0.961486 | 0.246200 | -0.939141 | -0.678049 | 1.309341 | 2.346151 | 0.266233 | 0.241988 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 502 | -0.438422 | 1.760373 | -1.399418 | -1.010909 | -1.868426 | 1.169781 | -1.569253 | 0.379672 | -0.057788 | -1.567907 | 0.399050 | 1.724681 | 1.309341 | 2.346151 | 1.191438 | -0.932014 | 0.864013 | -0.620189 | 1.754054 | 1.141629 | 0.764998 | 1.804297 | 1.647603 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 503 | -0.438422 | -0.320163 | 1.473862 | -1.010909 | 2.038524 | -0.660531 | -1.175601 | 0.379672 | -0.961486 | 1.153254 | -0.809954 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | 0.931603 | -1.077862 | 0.488508 | 1.317193 | 1.804297 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 504 | 2.280906 | 0.884358 | -1.230839 | 2.073946 | 1.061787 | -1.575686 | 1.678377 | 0.379672 | -0.057788 | -1.567907 | -0.471051 | -0.277594 | -0.330589 | -0.426230 | 1.191438 | 1.415991 | -0.807339 | 0.931603 | 0.338096 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 505 | -0.438422 | -1.196177 | 0.467346 | -0.393938 | 0.085049 | 0.254625 | 0.251388 | 0.379672 | -0.961486 | 1.153254 | -0.816753 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -1.064470 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 506 | -0.438422 | 0.008343 | -0.794517 | -0.764121 | 0.085049 | 0.254625 | -1.470840 | 0.379672 | 0.845911 | 0.246200 | 0.622790 | -0.678049 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 0.764998 | 1.493867 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 507 | -0.438422 | -0.867672 | 0.925980 | -0.764121 | -0.891688 | -0.660531 | -0.191470 | 0.379672 | -0.057788 | 0.246200 | -0.200140 | -0.678049 | -0.330589 | -0.426230 | -1.584178 | 0.241988 | -0.678774 | 1.707500 | -1.077862 | -0.164613 | -1.167687 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 508 | -0.438422 | -0.210661 | 0.531803 | -0.393938 | 1.061787 | -0.660531 | 0.792660 | -2.432006 | -0.057788 | 1.153254 | 0.030399 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | -0.932014 | 0.735447 | 0.155707 | 0.338096 | 1.631469 | 1.869389 | 2.735589 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 509 | -0.438422 | -0.429664 | 1.223472 | -0.393938 | 0.085049 | 0.254625 | -1.766079 | 0.379672 | -0.057788 | 1.153254 | 0.259664 | 0.122861 | 2.129306 | 2.346151 | 0.266233 | 0.241988 | 0.478316 | -0.620189 | -2.493820 | 0.978348 | 1.869389 | 0.562576 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 510 | -0.438422 | 1.869874 | -1.005241 | 1.210187 | 1.061787 | 0.254625 | 1.087899 | 0.379672 | 0.845911 | -0.660853 | 0.897099 | -0.277594 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | 0.606882 | -1.396086 | 1.754054 | 0.325228 | 0.764998 | 1.493867 | -0.875581 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 511 | -0.438422 | -0.101159 | 0.273976 | -0.023755 | -0.891688 | -0.660531 | -0.880361 | -1.026167 | -0.057788 | -0.660853 | 0.498065 | -0.277594 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 0.221185 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 512 | -0.438422 | -1.086676 | 0.774755 | -0.764121 | 1.061787 | -1.575686 | -0.585122 | -1.026167 | -0.961486 | 1.153254 | -0.947215 | -1.078504 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.807339 | -2.171982 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 513 | 2.280906 | -1.853188 | 1.387093 | 0.099639 | -1.868426 | 1.169781 | -1.667666 | 0.379672 | -0.961486 | 0.246200 | -1.167343 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -1.321601 | 1.707500 | 0.338096 | -0.981014 | -1.167687 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 514 | 2.280906 | -0.429664 | 0.678070 | -0.764121 | 0.085049 | -1.575686 | 0.202182 | 0.379672 | -0.961486 | -1.567907 | -0.670356 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 1.041095 | 2.114728 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 515 | -0.438422 | -0.210661 | -0.187137 | -0.764121 | 0.085049 | 0.254625 | -1.224807 | -1.026167 | -0.961486 | 0.246200 | -1.109549 | -0.678049 | 0.762698 | -0.426230 | 0.266233 | 1.415991 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 516 | -0.438422 | -1.524683 | 0.204561 | -0.640727 | 0.085049 | -1.575686 | -0.388296 | 1.785511 | -0.961486 | -1.567907 | -0.782757 | -0.277594 | 0.216054 | -0.426230 | -1.584178 | 0.241988 | -0.807339 | 0.155707 | 1.754054 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 517 | -0.438422 | -1.305679 | 0.018629 | -0.147150 | 0.085049 | 1.169781 | -0.437503 | 1.785511 | -0.057788 | -0.660853 | -0.351000 | -1.078504 | 1.855984 | 2.346151 | 0.266233 | 0.241988 | -0.935905 | 0.931603 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 518 | -0.438422 | 0.117845 | -1.387022 | -0.270544 | 1.061787 | 1.169781 | -0.978775 | -1.026167 | -0.057788 | 1.153254 | -0.525870 | -1.078504 | 1.309341 | 2.346151 | -1.584178 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.245834 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 519 | -0.438422 | -0.867672 | 0.008712 | -1.010909 | 1.061787 | -0.660531 | 0.497421 | -2.432006 | -0.961486 | 1.153254 | -0.803792 | -0.678049 | 0.762698 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | 1.707500 | 0.338096 | 0.488508 | 0.764998 | -0.058285 | 1.086895 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 520 | -0.438422 | 1.212863 | 0.035982 | -0.887515 | -1.868426 | -0.660531 | -0.486709 | 1.785511 | -0.057788 | -0.660853 | 0.343593 | 0.122861 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 0.092620 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 521 | -0.438422 | -1.086676 | 1.506090 | -0.764121 | -1.868426 | 1.169781 | 0.251388 | 1.785511 | -0.057788 | 1.153254 | -0.394346 | -0.678049 | 1.309341 | 2.346151 | -0.658973 | 1.415991 | -0.678774 | 0.155707 | 0.338096 | -0.164613 | 0.212802 | -0.679146 | -0.034520 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 522 | -0.438422 | 0.008343 | 1.047456 | 0.099639 | -0.891688 | 1.169781 | 0.694247 | 1.785511 | -0.961486 | 1.153254 | -0.387334 | 0.122861 | 0.489376 | -0.426230 | -1.584178 | -0.932014 | -0.935905 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 523 | -0.438422 | 1.431867 | 1.002832 | 2.320735 | -1.868426 | 1.169781 | 0.399008 | 1.785511 | -0.961486 | 0.246200 | -0.697340 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 2.589994 | 1.121144 | 0.155707 | 0.338096 | 2.121310 | 1.041095 | 0.252146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 524 | -0.438422 | -0.320163 | 1.585421 | -0.023755 | 0.085049 | 1.169781 | -0.978775 | -1.026167 | 0.845911 | -0.660853 | 0.450044 | -0.678049 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.293077 | 0.155707 | 1.754054 | 0.161947 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 525 | 2.280906 | -1.415181 | -0.271426 | -0.764121 | -0.891688 | -1.575686 | -0.043851 | 0.379672 | -0.057788 | 0.246200 | -0.409219 | 2.525591 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | -0.935905 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 526 | -0.438422 | 0.227347 | -0.977970 | -0.887515 | 1.061787 | 1.169781 | 0.694247 | -1.026167 | -0.057788 | 0.246200 | -0.414319 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | 1.121144 | 0.931603 | 0.338096 | 2.121310 | 0.764998 | 2.735589 | 1.647603 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 527 | -0.438422 | -0.539166 | 0.313642 | 0.099639 | 0.085049 | 1.169781 | -0.535916 | 0.379672 | -0.057788 | 1.153254 | -0.235199 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | -1.077862 | 0.488508 | 0.764998 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 528 | 2.280906 | 1.431867 | -0.596189 | -0.147150 | -0.891688 | -0.660531 | -0.781948 | 0.379672 | -0.057788 | 0.246200 | 0.062271 | 0.122861 | -0.330589 | -0.426230 | -1.584178 | 0.241988 | 0.864013 | 0.931603 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 529 | -0.438422 | 0.117845 | 0.060773 | -1.010909 | 1.061787 | -0.660531 | -1.618459 | 1.785511 | -0.057788 | 1.153254 | 0.238416 | -1.078504 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | 0.931603 | -1.077862 | 0.325228 | 0.764998 | -0.368715 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 530 | -0.438422 | -1.086676 | -0.482150 | -1.010909 | -0.891688 | 0.254625 | 0.103769 | 0.379672 | 0.845911 | -1.567907 | 0.193158 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | 0.155707 | 0.338096 | 0.325228 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 531 | -0.438422 | -0.539166 | 0.534282 | -0.764121 | -0.891688 | 0.254625 | -1.323220 | 0.379672 | 0.845911 | 1.153254 | 0.989315 | 0.122861 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 2.483396 | 0.338096 | -0.001333 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 532 | -0.438422 | 1.103362 | -0.246635 | 0.593216 | 1.061787 | 1.169781 | -1.175601 | 0.379672 | -0.057788 | -1.567907 | -0.327840 | -0.277594 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 1.121144 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 533 | -0.438422 | 0.336849 | -0.551565 | -0.517332 | 1.061787 | 1.169781 | -0.880361 | -1.026167 | 0.845911 | -1.567907 | 0.843980 | 0.923771 | 1.582663 | 2.346151 | 0.266233 | 0.241988 | 1.121144 | -0.620189 | 0.338096 | 1.794749 | 2.421585 | -0.368715 | 2.208310 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 534 | -0.438422 | 1.760373 | 0.415285 | -0.270544 | 0.085049 | 0.254625 | -0.339090 | 1.785511 | 1.749610 | 0.246200 | 1.765925 | 0.122861 | 1.036019 | -0.426230 | 0.266233 | -0.932014 | 2.663930 | 0.155707 | 0.338096 | -0.327893 | -0.891589 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 535 | -0.438422 | 0.446350 | -0.930867 | 0.099639 | 1.061787 | -0.660531 | 0.349801 | -1.026167 | 2.653309 | 1.153254 | 2.685320 | 0.122861 | -0.057267 | -0.426230 | -0.658973 | 2.589994 | 1.506840 | -0.620189 | -1.077862 | 2.284590 | 0.488900 | 3.046019 | 0.526188 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 536 | -0.438422 | 2.526886 | 0.933417 | 0.840004 | 1.061787 | -1.575686 | 0.891073 | 0.379672 | -0.057788 | -1.567907 | -0.233287 | 2.125136 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -1.396086 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 537 | -0.438422 | -1.086676 | -1.260588 | 0.099639 | -0.891688 | 1.169781 | -1.667666 | 0.379672 | 0.845911 | -1.567907 | 0.486591 | -0.678049 | 1.582663 | 2.346151 | 0.266233 | 1.415991 | -0.293077 | 0.931603 | -1.077862 | 0.325228 | 0.764998 | -0.368715 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 538 | -0.438422 | 0.446350 | -1.211006 | -1.010909 | 0.085049 | 1.169781 | -0.339090 | -1.026167 | 2.653309 | 0.246200 | 2.695519 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | 1.378275 | 0.155707 | 0.338096 | 2.447870 | 0.764998 | -0.058285 | 1.647603 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 539 | -0.438422 | 1.431867 | -1.206048 | -0.147150 | 1.061787 | 1.169781 | -0.585122 | 0.379672 | -0.961486 | -0.660853 | -0.558379 | 1.724681 | -0.057267 | -0.426230 | 1.191438 | 0.241988 | -0.935905 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 540 | 2.280906 | -0.977174 | -0.368111 | -1.010909 | -0.891688 | -1.575686 | 0.054562 | -2.432006 | -0.961486 | -0.660853 | -0.910881 | 1.724681 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 0.931603 | 0.338096 | -0.001333 | 0.764998 | 0.252146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 541 | -0.438422 | -0.101159 | -0.930867 | -0.147150 | 0.085049 | -1.575686 | -0.142264 | 1.785511 | 0.845911 | -1.567907 | 1.107028 | 2.525591 | -0.330589 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | 0.245834 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 542 | -0.438422 | 0.117845 | -1.572955 | -1.010909 | 0.085049 | 0.254625 | 0.743454 | 0.379672 | 0.845911 | 0.246200 | 0.288561 | 0.523316 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 0.931603 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 543 | -0.438422 | 0.774856 | -1.044906 | 1.827158 | 0.085049 | -1.575686 | -0.831155 | -2.432006 | -0.961486 | 0.246200 | -0.593863 | -0.277594 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | -0.293077 | 1.707500 | 0.338096 | -0.327893 | -0.615492 | -0.368715 | -0.034520 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 544 | -0.438422 | 1.103362 | -1.451479 | -0.764121 | 0.085049 | 1.169781 | -0.831155 | 0.379672 | 1.749610 | 0.246200 | 1.544097 | 2.525591 | -0.877232 | -0.426230 | 1.191438 | 1.415991 | 2.149668 | -0.620189 | -1.077862 | 2.447870 | -0.615492 | 2.735589 | 2.488664 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 545 | -0.438422 | -0.758170 | -0.747414 | 2.197341 | 2.038524 | 0.254625 | 1.629171 | 0.379672 | -0.057788 | 1.153254 | -0.254747 | 1.724681 | 2.129306 | 2.346151 | 1.191438 | 0.241988 | -0.164511 | -0.620189 | -1.077862 | 0.161947 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 546 | -0.438422 | -0.867672 | 1.471383 | 0.099639 | 0.085049 | 0.254625 | 1.629171 | 0.379672 | -0.961486 | 0.246200 | -0.820365 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -1.321601 | 2.483396 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 547 | 2.280906 | 0.555852 | 0.323558 | 1.210187 | 0.085049 | 0.254625 | -0.437503 | 1.785511 | -0.961486 | 0.246200 | -0.795505 | 1.324226 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.550208 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 548 | -0.438422 | 0.665354 | -0.068140 | 0.716610 | 0.085049 | 1.169781 | -0.929568 | -1.026167 | -0.057788 | 1.153254 | 0.063971 | 0.122861 | 0.762698 | -0.426230 | 0.266233 | 0.241988 | -0.550208 | 1.707500 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 549 | -0.438422 | -0.320163 | 0.415285 | -0.147150 | -0.891688 | -0.660531 | 1.481551 | 0.379672 | -0.057788 | 0.246200 | -0.076690 | 0.122861 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | -0.327893 | -0.891589 | 0.562576 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 550 | -0.438422 | -1.524683 | -0.378028 | -0.023755 | -1.868426 | -0.660531 | -1.421633 | 0.379672 | -0.961486 | -1.567907 | -0.850537 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | -0.620189 | 1.754054 | -0.491174 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 551 | -0.438422 | 0.227347 | -1.639891 | -0.764121 | 0.085049 | 0.254625 | -1.077188 | 1.785511 | -0.057788 | -0.660853 | -0.024208 | 2.525591 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | 0.092620 | 0.155707 | -2.493820 | 0.161947 | -0.339394 | 0.252146 | 0.526188 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 552 | -0.438422 | 2.088878 | 0.073169 | -0.023755 | 0.085049 | 0.254625 | 0.743454 | 0.379672 | 1.749610 | 1.153254 | 0.977416 | 1.724681 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | 2.406799 | -1.396086 | -1.077862 | 0.488508 | 0.764998 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 553 | -0.438422 | 0.336849 | 0.003754 | -0.887515 | -1.868426 | 1.169781 | 0.989486 | -1.026167 | -0.961486 | 1.153254 | -0.884109 | -1.078504 | 1.309341 | 2.346151 | 1.191438 | -0.932014 | -0.807339 | -0.620189 | -1.077862 | -0.491174 | -0.615492 | -0.058285 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 554 | -0.438422 | -1.086676 | 0.427681 | -0.270544 | 0.085049 | 1.169781 | -0.535916 | -1.026167 | -0.057788 | -1.567907 | 0.065458 | 2.125136 | 1.036019 | -0.426230 | -1.584178 | -0.932014 | -0.293077 | -0.620189 | -2.493820 | -0.001333 | 0.488900 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 555 | -0.438422 | -0.867672 | 0.712777 | 0.099639 | 0.085049 | 1.169781 | 0.841867 | 0.379672 | -0.961486 | -0.660853 | -0.893671 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | 1.415991 | -1.193036 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 |
| 556 | -0.438422 | 1.760373 | -1.131675 | -0.393938 | 0.085049 | 1.169781 | 0.989486 | 0.379672 | -0.057788 | 1.153254 | -0.861161 | -0.277594 | 0.489376 | -0.426230 | 1.191438 | -0.932014 | 0.992578 | 0.931603 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 557 | -0.438422 | -0.210661 | 1.047456 | -0.887515 | 1.061787 | 1.169781 | -0.240677 | 0.379672 | -0.057788 | -1.567907 | -0.299580 | -0.277594 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | 0.606882 | -0.620189 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 558 | -0.438422 | -0.539166 | -0.923430 | 1.827158 | 1.061787 | -1.575686 | 0.694247 | 0.379672 | -0.057788 | 1.153254 | -0.253685 | -0.678049 | -0.057267 | -0.426230 | 1.191438 | 1.415991 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 1.041095 | 0.562576 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 559 | -0.438422 | 0.117845 | -1.325045 | -0.887515 | 2.038524 | 1.169781 | 1.284725 | 0.379672 | -0.961486 | 0.246200 | -0.732187 | 1.324226 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | -0.678774 | -2.171982 | -2.493820 | -0.981014 | -1.167687 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 560 | -0.438422 | -0.320163 | -1.575434 | -0.147150 | 2.038524 | -0.660531 | -1.667666 | 0.379672 | -0.057788 | -1.567907 | -0.293631 | 0.122861 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | -0.550208 | 0.155707 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 561 | -0.438422 | 1.650871 | -0.449922 | -0.764121 | 1.061787 | 0.254625 | -1.716872 | -1.026167 | 1.749610 | -1.567907 | 2.199806 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | 2.921061 | 0.155707 | 1.754054 | 4.407233 | 0.488900 | -0.368715 | 3.329725 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 562 | 2.280906 | -0.429664 | -0.682957 | -1.010909 | 1.061787 | 1.169781 | -0.142264 | 0.379672 | -0.961486 | 1.153254 | -0.811016 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | -1.077862 | 0.488508 | 1.317193 | 1.493867 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 563 | -0.438422 | -1.305679 | 0.199603 | 2.073946 | -1.868426 | 0.254625 | -1.667666 | 0.379672 | -0.057788 | 1.153254 | -0.068616 | -0.678049 | 2.129306 | 2.346151 | -0.658973 | -0.932014 | -0.678774 | 1.707500 | -1.077862 | -0.164613 | 0.212802 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 564 | -0.438422 | 0.884358 | 0.375619 | -0.887515 | -0.891688 | -0.660531 | -0.978775 | -2.432006 | -0.057788 | 0.246200 | 0.027424 | -1.078504 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | -0.293077 | 0.155707 | 0.338096 | 0.161947 | 0.764998 | 0.252146 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 565 | -0.438422 | -1.524683 | -1.220922 | 0.099639 | -1.868426 | -1.575686 | 0.645041 | 1.785511 | -0.961486 | 0.246200 | -0.636996 | -0.678049 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | -1.193036 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 566 | 2.280906 | 1.103362 | -0.206970 | 2.197341 | -0.891688 | -0.660531 | 0.546627 | 1.785511 | -0.057788 | 0.246200 | -0.022508 | 0.523316 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 567 | -0.438422 | -0.320163 | -1.235797 | -0.887515 | 0.085049 | 1.169781 | -0.289883 | 0.379672 | -0.057788 | 1.153254 | -0.048643 | -0.678049 | 1.855984 | 2.346151 | 0.266233 | -0.932014 | -0.678774 | 1.707500 | 0.338096 | -0.164613 | 0.212802 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 568 | 2.280906 | 1.979376 | -0.192095 | -0.887515 | 0.085049 | 1.169781 | 0.595834 | 0.379672 | 2.653309 | -1.567907 | 2.837879 | 0.923771 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | 1.635406 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 569 | -0.438422 | -0.101159 | 1.565588 | -0.147150 | 1.061787 | -1.575686 | 0.497421 | -1.026167 | 0.845911 | -1.567907 | 0.230341 | -0.678049 | -0.057267 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | -1.396086 | 0.338096 | 0.488508 | 0.764998 | -0.679146 | 1.367249 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 570 | -0.438422 | 1.650871 | -0.216886 | 1.210187 | 1.061787 | 1.169781 | -1.224807 | 0.379672 | -0.961486 | 1.153254 | -0.477000 | -1.078504 | 0.762698 | -0.426230 | -1.584178 | 0.241988 | -0.807339 | 0.155707 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 571 | -0.438422 | -1.196177 | -0.563960 | -1.010909 | -0.891688 | -1.575686 | 0.251388 | -2.432006 | -0.961486 | 1.153254 | -0.454477 | 0.122861 | -0.330589 | -0.426230 | -1.584178 | 0.241988 | -0.807339 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 572 | -0.438422 | -0.867672 | -0.360674 | 2.197341 | 0.085049 | -0.660531 | 0.005356 | 0.379672 | -0.057788 | 0.246200 | -0.460639 | 0.523316 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | -0.035946 | 0.155707 | -1.077862 | 0.161947 | 0.764998 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 573 | 2.280906 | -1.196177 | 0.851607 | -0.147150 | 0.085049 | 1.169781 | -1.372427 | -1.026167 | -0.057788 | -1.567907 | -0.250073 | 1.324226 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | -0.620189 | -1.077862 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 574 | -0.438422 | -0.320163 | -1.538248 | -1.010909 | 1.061787 | -0.660531 | 0.300595 | 1.785511 | -0.961486 | 1.153254 | -0.684804 | -0.277594 | 0.216054 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 575 | -0.438422 | 1.869874 | -1.057302 | 1.210187 | 1.061787 | 1.169781 | 1.432345 | 0.379672 | -0.057788 | -1.567907 | -0.216289 | 2.525591 | -1.150554 | -0.426230 | -0.658973 | 1.415991 | -0.293077 | 0.931603 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 576 | -0.438422 | -1.086676 | 0.065732 | -0.147150 | -1.868426 | 0.254625 | 0.891073 | 0.379672 | -0.057788 | 1.153254 | -0.459152 | -1.078504 | 1.036019 | -0.426230 | -0.658973 | 0.241988 | -0.807339 | 0.155707 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -0.875581 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 577 | -0.438422 | 0.008343 | -0.573877 | 0.099639 | -1.868426 | 1.169781 | 0.792660 | 0.379672 | -0.961486 | -1.567907 | -0.790618 | -1.078504 | -0.603911 | -0.426230 | -0.658973 | 1.415991 | -0.678774 | 0.155707 | -1.077862 | -0.327893 | -0.339394 | 0.562576 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 578 | -0.438422 | 0.117845 | -1.394460 | -0.887515 | 1.061787 | -1.575686 | 0.448214 | 1.785511 | -0.057788 | -1.567907 | -0.111112 | 1.324226 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 0.735447 | -0.620189 | 0.338096 | 1.304909 | 0.764998 | 0.562576 | 2.208310 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 579 | -0.438422 | -0.320163 | -1.689473 | -0.887515 | 1.061787 | 0.254625 | 0.989486 | -1.026167 | -0.961486 | -1.567907 | -0.450865 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.164613 | 0.212802 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 580 | -0.438422 | -0.210661 | -1.037469 | -0.147150 | 1.061787 | -1.575686 | 0.300595 | 0.379672 | -0.961486 | 1.153254 | -0.835239 | -0.678049 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | -1.064470 | -1.396086 | -1.077862 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 581 | -0.438422 | -0.758170 | 0.293809 | -1.010909 | 0.085049 | 1.169781 | -1.372427 | -2.432006 | -0.961486 | 0.246200 | -0.567303 | 0.122861 | 1.582663 | 2.346151 | 0.266233 | 1.415991 | -0.550208 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 582 | -0.438422 | 0.336849 | -0.028474 | -0.887515 | -0.891688 | 0.254625 | -1.372427 | 1.785511 | -0.057788 | -0.660853 | -0.479975 | -0.678049 | 2.402628 | 2.346151 | 1.191438 | 0.241988 | -0.421642 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | 0.252146 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 583 | -0.438422 | -0.320163 | 0.764838 | -0.147150 | -0.891688 | 0.254625 | 1.333932 | 0.379672 | -0.057788 | -1.567907 | -0.000623 | 0.923771 | 0.489376 | -0.426230 | -0.658973 | 0.241988 | -0.678774 | -1.396086 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 584 | -0.438422 | 0.555852 | -0.576356 | -0.147150 | 0.085049 | -0.660531 | 0.005356 | 0.379672 | 2.653309 | 1.153254 | 2.534247 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 1.635406 | 0.931603 | -1.077862 | 2.774431 | 0.764998 | 3.666880 | 1.367249 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 585 | 2.280906 | -1.524683 | 1.092080 | -0.393938 | 0.085049 | 0.254625 | -0.142264 | 1.785511 | -0.961486 | -1.567907 | -1.041556 | -0.678049 | 1.582663 | 2.346151 | 0.266233 | 1.415991 | -1.321601 | -0.620189 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 586 | -0.438422 | -1.415181 | 0.717736 | -0.023755 | 0.085049 | 0.254625 | -0.289883 | -1.026167 | -0.961486 | -0.660853 | -0.809317 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 2.589994 | -1.321601 | 0.931603 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 587 | -0.438422 | 1.650871 | 1.295366 | 0.223033 | 1.061787 | 1.169781 | 0.792660 | 0.379672 | -0.057788 | 0.246200 | -0.712639 | 2.125136 | 1.309341 | 2.346151 | -0.658973 | 0.241988 | -0.293077 | 0.155707 | 0.338096 | -0.327893 | -0.615492 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 588 | -0.438422 | 1.431867 | -0.276384 | -0.887515 | 0.085049 | 0.254625 | -0.093057 | 0.379672 | 1.749610 | 0.246200 | 2.366177 | 0.923771 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | 2.406799 | 0.155707 | 0.338096 | -0.491174 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 589 | 2.280906 | -0.867672 | 0.006233 | -1.010909 | -0.891688 | -0.660531 | -1.470840 | -1.026167 | -0.961486 | -1.567907 | -0.888996 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | -1.321601 | -1.396086 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 590 | -0.438422 | -0.429664 | -1.461395 | -0.270544 | 0.085049 | 0.254625 | -0.831155 | 0.379672 | 0.845911 | 0.246200 | 1.102354 | -1.078504 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 0.349751 | 0.155707 | 1.754054 | 0.978348 | 1.317193 | 0.252146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 591 | 2.280906 | -0.429664 | -1.696910 | 0.840004 | 0.085049 | -1.575686 | 0.152975 | 0.379672 | -0.057788 | -1.567907 | -0.250498 | 0.923771 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 592 | -0.438422 | 1.103362 | -1.488665 | -0.887515 | -0.891688 | 0.254625 | -1.618459 | 0.379672 | 1.749610 | 1.153254 | 2.177708 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 1.892537 | 0.155707 | -1.077862 | 3.100991 | 2.697683 | 0.252146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 593 | -0.438422 | -0.101159 | -0.313571 | -1.010909 | 0.085049 | 0.254625 | -1.520046 | 0.379672 | -0.057788 | -0.660853 | -0.270896 | -1.078504 | -0.057267 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.325228 | 0.764998 | -0.679146 | 0.245834 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 594 | -0.438422 | -0.867672 | 1.114392 | 1.703764 | -0.891688 | 0.254625 | 0.743454 | 1.785511 | -0.961486 | 0.246200 | -0.808042 | -0.678049 | 2.402628 | 2.346151 | 0.266233 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 595 | 2.280906 | 2.307882 | -1.280421 | -0.887515 | 1.061787 | 1.169781 | -1.716872 | 0.379672 | 2.653309 | -0.660853 | 2.707630 | 1.724681 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 3.692454 | -0.620189 | 0.338096 | 3.917392 | 2.973780 | 3.356449 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 596 | -0.438422 | -0.210661 | 1.129266 | -1.010909 | 1.061787 | 1.169781 | -1.274014 | 1.785511 | -0.961486 | 0.246200 | -0.849263 | 0.122861 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.550208 | -2.171982 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 597 | -0.438422 | 0.555852 | 0.321079 | -1.010909 | -0.891688 | 1.169781 | -1.126394 | -1.026167 | -0.057788 | 1.153254 | -0.093688 | 2.525591 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.421642 | 0.931603 | 0.338096 | -0.491174 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 598 | 2.280906 | -0.977174 | 0.216957 | -0.887515 | 1.061787 | 0.254625 | -0.978775 | 0.379672 | -0.961486 | 0.246200 | -0.450653 | 1.324226 | 0.489376 | -0.426230 | 1.191438 | -0.932014 | -0.807339 | 0.155707 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 599 | -0.438422 | -0.101159 | 0.591301 | 0.469821 | 0.085049 | 0.254625 | -1.470840 | 0.379672 | -0.961486 | -0.660853 | -0.926392 | 0.523316 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | -0.421642 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.034520 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 600 | -0.438422 | -0.539166 | 0.140105 | -0.640727 | 0.085049 | 0.254625 | 1.579964 | -1.026167 | -0.057788 | 0.246200 | -0.072441 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | 0.349751 | 0.155707 | 0.338096 | 1.141629 | 2.421585 | 1.183437 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 601 | -0.438422 | 0.336849 | -0.204491 | 0.840004 | 1.061787 | -1.575686 | -0.732742 | -1.026167 | -0.057788 | 0.246200 | -0.299368 | 1.324226 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 2.483396 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 602 | -0.438422 | -0.758170 | 0.355787 | -0.887515 | 0.085049 | 0.254625 | -0.683535 | -1.026167 | -0.057788 | 1.153254 | 0.079482 | 0.923771 | 2.402628 | 2.346151 | -0.658973 | -0.932014 | 0.092620 | 0.931603 | -1.077862 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 603 | -0.438422 | 0.884358 | -1.364710 | -0.887515 | 0.085049 | -0.660531 | 1.432345 | -1.026167 | -0.961486 | 0.246200 | -0.898558 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 604 | -0.438422 | 0.555852 | 0.323558 | 2.444129 | 0.085049 | -0.660531 | 1.579964 | 0.379672 | -0.057788 | -0.660853 | -0.439604 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | 0.155707 | -1.077862 | 0.325228 | 1.041095 | 1.493867 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 605 | -0.438422 | 0.117845 | -0.821787 | 0.346427 | 0.085049 | -1.575686 | -1.027981 | -1.026167 | -0.057788 | -1.567907 | -0.045668 | -0.277594 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | 0.221185 | 0.155707 | -1.077862 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 606 | -0.438422 | -0.320163 | -0.249114 | 0.840004 | 1.061787 | 0.254625 | 1.678377 | -1.026167 | -0.961486 | 1.153254 | -0.839276 | -0.678049 | 0.216054 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.327893 | -0.615492 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 607 | 2.280906 | 1.322365 | 0.945813 | 0.223033 | 0.085049 | 0.254625 | -1.126394 | 0.379672 | 0.845911 | 1.153254 | 0.244578 | -0.678049 | 0.762698 | -0.426230 | -1.584178 | 1.415991 | -0.293077 | 0.155707 | 1.754054 | 0.325228 | 1.041095 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 608 | 2.280906 | 1.979376 | -0.908556 | -0.887515 | -1.868426 | 0.254625 | -1.421633 | 0.379672 | -0.057788 | 1.153254 | -0.285344 | 0.523316 | 0.216054 | -0.426230 | 0.266233 | -0.932014 | 0.092620 | 0.155707 | -1.077862 | 0.325228 | 0.764998 | 1.493867 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 609 | -0.438422 | 0.665354 | -0.529253 | 0.593216 | -0.891688 | -0.660531 | 1.383138 | 0.379672 | 1.749610 | -1.567907 | 2.264187 | 1.324226 | 2.402628 | 2.346151 | 0.266233 | 0.241988 | 1.378275 | 0.155707 | 0.338096 | -0.491174 | -0.891589 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 610 | -0.438422 | -1.086676 | -1.322566 | -0.517332 | -1.868426 | 0.254625 | -1.175601 | -1.026167 | 0.845911 | 1.153254 | 1.339692 | -0.678049 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | -0.293077 | 0.155707 | 0.338096 | 0.325228 | 1.041095 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 611 | -0.438422 | -0.210661 | 0.365703 | -0.270544 | 0.085049 | 0.254625 | -0.339090 | 0.379672 | 0.845911 | 0.246200 | 0.790010 | 0.122861 | 1.582663 | 2.346151 | -0.658973 | -0.932014 | 0.735447 | 0.155707 | 1.754054 | 0.161947 | 0.212802 | -0.368715 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 612 | -0.438422 | -0.977174 | -0.105326 | -0.887515 | 1.061787 | -0.660531 | 0.743454 | 0.379672 | -0.057788 | -0.660853 | -0.366299 | -0.678049 | 1.309341 | 2.346151 | -1.584178 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | 1.493867 | 0.245834 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 613 | -0.438422 | -0.320163 | 0.065732 | -0.764121 | -0.891688 | 0.254625 | 1.087899 | 0.379672 | -0.961486 | 1.153254 | -0.587701 | -1.078504 | 1.036019 | -0.426230 | 0.266233 | 0.241988 | -0.935905 | -1.396086 | -2.493820 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 614 | 2.280906 | -1.196177 | 0.209520 | -0.517332 | -0.891688 | 0.254625 | 1.087899 | -1.026167 | -0.961486 | 0.246200 | -0.879010 | -0.678049 | -0.330589 | -0.426230 | -1.584178 | 0.241988 | -0.421642 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | -0.368715 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 615 | -0.438422 | -1.086676 | -0.891202 | -0.764121 | 0.085049 | 1.169781 | -0.781948 | 0.379672 | -0.961486 | 1.153254 | -1.019245 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 2.589994 | -1.450167 | 2.483396 | -1.077862 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 616 | -0.438422 | 1.541369 | 1.278013 | 2.073946 | 1.061787 | -1.575686 | 0.005356 | 0.379672 | 1.749610 | 0.246200 | 2.083155 | -0.277594 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 2.278234 | -0.620189 | -1.077862 | 2.121310 | 0.488900 | 0.562576 | 3.610079 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 617 | -0.438422 | 0.774856 | -0.440005 | -0.640727 | 0.085049 | 1.169781 | -0.781948 | 0.379672 | -0.057788 | -0.660853 | -0.121098 | 2.525591 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | -1.077862 | -0.327893 | -0.615492 | -0.058285 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 618 | -0.438422 | -1.305679 | -1.543206 | -0.887515 | -1.868426 | -1.575686 | -0.043851 | 1.785511 | -0.961486 | -1.567907 | -0.654207 | 1.724681 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | -1.077862 | -0.491174 | -0.339394 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 619 | -0.438422 | -0.429664 | -0.536690 | -1.010909 | 0.085049 | -1.575686 | -0.880361 | 1.785511 | -0.057788 | -1.567907 | -0.523958 | -0.678049 | 1.855984 | 2.346151 | -1.584178 | 0.241988 | -0.293077 | 1.707500 | 0.338096 | 0.325228 | 1.041095 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 620 | -0.438422 | -0.210661 | 1.339990 | 2.197341 | -1.868426 | 0.254625 | -0.634329 | -1.026167 | -0.961486 | -1.567907 | -0.838001 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | 0.155707 | -1.077862 | -0.164613 | 0.212802 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 621 | -0.438422 | -0.101159 | 0.311163 | -1.010909 | -0.891688 | -0.660531 | -0.486709 | 0.379672 | -0.057788 | 1.153254 | -0.064154 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | 0.864013 | -1.396086 | -1.077862 | 1.794749 | 2.697683 | 0.562576 | 1.927956 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 622 | -0.438422 | -0.539166 | -1.699389 | 0.469821 | 1.061787 | -0.660531 | 0.349801 | 0.379672 | -0.057788 | 1.153254 | -0.446191 | -0.277594 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.421642 | 0.155707 | -1.077862 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 623 | -0.438422 | -0.758170 | 0.519407 | -0.517332 | 1.061787 | -0.660531 | 0.448214 | -1.026167 | -0.961486 | 1.153254 | -0.582602 | 2.525591 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -0.164511 | 0.155707 | -1.077862 | -0.327893 | -0.063296 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 624 | -0.438422 | 1.760373 | -0.350758 | -0.270544 | -0.891688 | -1.575686 | 0.595834 | -1.026167 | 0.845911 | 1.153254 | 0.941508 | 1.724681 | 0.762698 | -0.426230 | 1.191438 | 0.241988 | 3.049627 | 0.155707 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 625 | -0.438422 | 0.884358 | 0.316121 | -0.023755 | 0.085049 | 1.169781 | 0.399008 | 0.379672 | 0.845911 | -1.567907 | 0.904749 | 0.523316 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | 0.864013 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 626 | -0.438422 | -0.539166 | -0.407777 | -0.147150 | -0.891688 | 0.254625 | 1.235519 | 1.785511 | -0.057788 | 0.246200 | -0.282157 | 0.923771 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -0.293077 | 0.155707 | -1.077862 | -0.327893 | -0.339394 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 627 | -0.438422 | 1.650871 | 0.216957 | 1.950552 | 1.061787 | 0.254625 | 0.743454 | -1.026167 | 1.749610 | 1.153254 | 1.555996 | 0.122861 | 1.855984 | 2.346151 | 0.266233 | -0.932014 | 2.535365 | 0.155707 | 0.338096 | 0.325228 | 1.041095 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 628 | -0.438422 | 0.008343 | -1.141591 | 0.840004 | 1.061787 | 1.169781 | 0.005356 | -1.026167 | -0.057788 | 0.246200 | -0.035894 | 0.523316 | 1.036019 | -0.426230 | 1.191438 | 1.415991 | -0.293077 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 629 | -0.438422 | -0.977174 | 0.908626 | -0.147150 | -0.891688 | -0.660531 | -0.142264 | -1.026167 | -0.961486 | 1.153254 | -0.332939 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | 2.483396 | 0.338096 | -0.327893 | -0.891589 | -0.679146 | -0.034520 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 630 | -0.438422 | -1.634185 | 1.059852 | -1.010909 | -0.891688 | 1.169781 | -1.618459 | -1.026167 | -0.057788 | 1.153254 | -0.367149 | 1.324226 | 1.855984 | 2.346151 | -1.584178 | 1.415991 | -0.935905 | -0.620189 | -2.493820 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 631 | -0.438422 | 0.774856 | 0.454951 | -0.147150 | 1.061787 | -1.575686 | -0.191470 | 1.785511 | -0.961486 | 1.153254 | -0.782969 | -0.277594 | 2.402628 | 2.346151 | 0.266233 | 0.241988 | -0.164511 | -0.620189 | -1.077862 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 632 | -0.438422 | 0.555852 | 1.161495 | -0.887515 | -1.868426 | -0.660531 | -1.520046 | 0.379672 | -0.961486 | 1.153254 | -0.847350 | 0.923771 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | -0.817734 | -0.891589 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 633 | -0.438422 | -0.101159 | 1.178849 | -0.147150 | 0.085049 | -1.575686 | 0.546627 | -1.026167 | -0.961486 | -1.567907 | -0.884109 | -1.078504 | 1.582663 | 2.346151 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.314873 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 634 | -0.438422 | -1.305679 | -1.639891 | -0.764121 | -1.868426 | 0.254625 | 1.579964 | 0.379672 | -0.057788 | -1.567907 | -0.490599 | -0.678049 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | -0.807339 | 0.155707 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 635 | -0.438422 | -0.210661 | -0.484629 | -0.023755 | 0.085049 | 1.169781 | 0.005356 | -1.026167 | 0.845911 | 0.246200 | 0.888600 | -0.678049 | 1.309341 | 2.346151 | -0.658973 | 0.241988 | 0.735447 | -0.620189 | 0.338096 | 1.631469 | 2.697683 | 0.873006 | 3.049371 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 636 | 2.280906 | -0.210661 | -1.667161 | 1.950552 | 1.061787 | 1.169781 | 1.481551 | 0.379672 | -0.961486 | -0.660853 | -0.952102 | -0.678049 | 1.036019 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | 0.155707 | -1.077862 | 0.488508 | -0.615492 | 1.493867 | 1.086895 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 637 | -0.438422 | -0.539166 | -1.245713 | -1.010909 | 0.085049 | 1.169781 | -0.240677 | 0.379672 | -0.961486 | 1.153254 | -0.890058 | -1.078504 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -0.935905 | -0.620189 | 0.338096 | -0.654454 | -1.167687 | -0.679146 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 638 | -0.438422 | -1.305679 | -0.544128 | -0.640727 | -1.868426 | 0.254625 | 1.038693 | -1.026167 | -0.057788 | -1.567907 | -0.477425 | -0.678049 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -0.807339 | -1.396086 | 1.754054 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 639 | -0.438422 | 1.322365 | 1.525923 | -1.010909 | 0.085049 | 0.254625 | -1.470840 | 0.379672 | -0.961486 | -1.567907 | -0.621061 | -0.277594 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | -0.550208 | -0.620189 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 640 | -0.438422 | -1.415181 | 1.156537 | -0.640727 | -1.868426 | -1.575686 | -0.978775 | -1.026167 | -0.961486 | 1.153254 | -0.709877 | -1.078504 | 0.489376 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | -0.620189 | -1.077862 | -0.327893 | -0.615492 | 0.252146 | -0.034520 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 641 | -0.438422 | -0.539166 | -1.049864 | -0.517332 | -0.891688 | -0.660531 | -0.880361 | 0.379672 | -0.057788 | -0.660853 | 0.004477 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 1.041095 | 0.873006 | -0.314873 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 642 | -0.438422 | 0.117845 | -1.010199 | -0.023755 | 0.085049 | -0.660531 | 1.579964 | -1.026167 | -0.961486 | -0.660853 | -0.765758 | -1.078504 | 1.036019 | -0.426230 | 1.191438 | 0.241988 | -1.064470 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 643 | -0.438422 | 0.555852 | 1.146620 | -0.764121 | 0.085049 | 0.254625 | 1.432345 | 1.785511 | -0.057788 | 1.153254 | -0.270258 | -0.277594 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 0.735447 | -1.396086 | -1.077862 | -0.327893 | -0.339394 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 644 | -0.438422 | -0.648668 | 1.040019 | 0.223033 | 1.061787 | 1.169781 | -0.880361 | 0.379672 | -0.961486 | 1.153254 | -0.881134 | 0.122861 | 1.036019 | -0.426230 | -0.658973 | 0.241988 | -0.421642 | -0.620189 | 0.338096 | -0.164613 | -0.063296 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 645 | 2.280906 | -0.867672 | -1.144070 | -1.010909 | 0.085049 | -0.660531 | -0.880361 | -1.026167 | -0.961486 | 0.246200 | -0.786794 | 1.324226 | 1.036019 | -0.426230 | 0.266233 | 2.589994 | -0.807339 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 |
| 646 | -0.438422 | 1.760373 | 0.162417 | -0.147150 | 0.085049 | -1.575686 | 0.349801 | 0.379672 | 1.749610 | 1.153254 | 1.133163 | 0.923771 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 2.149668 | 0.155707 | 0.338096 | -0.817734 | -1.167687 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 647 | -0.438422 | -0.210661 | -0.323487 | 1.950552 | 0.085049 | 1.169781 | 0.595834 | -1.026167 | 0.845911 | -0.660853 | 0.934921 | 0.122861 | 0.216054 | -0.426230 | -1.584178 | -0.932014 | 0.606882 | -0.620189 | 0.338096 | 0.978348 | 1.593291 | 0.562576 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 648 | -0.438422 | 0.008343 | 1.062331 | 1.456975 | -0.891688 | 0.254625 | -0.585122 | 0.379672 | -0.961486 | 1.153254 | -0.750035 | 0.923771 | -0.057267 | -0.426230 | -0.658973 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 649 | -0.438422 | 1.760373 | -1.736576 | 1.703764 | 1.061787 | 1.169781 | 0.300595 | 0.379672 | 1.749610 | 1.153254 | 1.651399 | 1.324226 | 0.762698 | -0.426230 | 0.266233 | -0.932014 | 2.792496 | -2.171982 | 0.338096 | 0.815068 | 1.317193 | 0.252146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 650 | -0.438422 | 0.665354 | -0.943263 | -1.010909 | 0.085049 | 1.169781 | -1.618459 | 0.379672 | -0.057788 | 1.153254 | -0.199928 | 0.523316 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 0.092620 | -0.620189 | -1.077862 | -0.327893 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 651 | -0.438422 | 1.103362 | -1.372148 | -0.887515 | -0.891688 | 0.254625 | -1.520046 | 0.379672 | -0.057788 | 1.153254 | -0.417718 | -1.078504 | 1.855984 | 2.346151 | -1.584178 | 0.241988 | -0.421642 | -0.620189 | 0.338096 | -0.001333 | 0.488900 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 652 | -0.438422 | 0.008343 | 1.114392 | 1.210187 | -0.891688 | -1.575686 | -1.667666 | 0.379672 | 0.845911 | -0.660853 | 0.242028 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | -1.167687 | -0.679146 | 1.367249 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 653 | -0.438422 | 1.431867 | 0.194645 | -0.887515 | 1.061787 | -1.575686 | 1.579964 | 0.379672 | 1.749610 | -1.567907 | 2.426733 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | 2.535365 | 0.155707 | 0.338096 | 3.917392 | 0.488900 | 3.666880 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 654 | -0.438422 | 0.227347 | 1.439154 | -0.887515 | 0.085049 | 1.169781 | -1.175601 | -1.026167 | -0.057788 | 1.153254 | -0.275995 | 2.125136 | -1.150554 | -0.426230 | 0.266233 | 1.415991 | 0.221185 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 655 | -0.438422 | -0.429664 | 0.675591 | -0.764121 | -0.891688 | 1.169781 | -0.437503 | 0.379672 | -0.961486 | -0.660853 | -0.897920 | 0.122861 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.550208 | 0.931603 | 1.754054 | -0.491174 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 656 | 2.280906 | -0.539166 | -1.062260 | 1.950552 | 1.061787 | -1.575686 | 1.038693 | 0.379672 | -0.961486 | 1.153254 | -0.787856 | -0.678049 | 2.402628 | 2.346151 | 0.266233 | -0.932014 | -1.321601 | -0.620189 | -2.493820 | -0.981014 | -1.167687 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 657 | -0.438422 | -0.867672 | 0.702861 | -0.270544 | -1.868426 | -1.575686 | -0.191470 | -1.026167 | -0.961486 | 1.153254 | -0.843738 | 1.324226 | -0.330589 | -0.426230 | 0.266233 | 2.589994 | -0.421642 | 1.707500 | 0.338096 | -0.491174 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 658 | -0.438422 | 0.774856 | -0.350758 | -0.023755 | -0.891688 | -0.660531 | -0.240677 | 0.379672 | -0.961486 | -1.567907 | -0.838001 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | -2.171982 | 0.338096 | 0.161947 | 0.764998 | 1.493867 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 659 | -0.438422 | -0.977174 | 0.045899 | -0.517332 | 1.061787 | -1.575686 | 1.579964 | 0.379672 | -0.057788 | 1.153254 | -0.338889 | -0.678049 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.935905 | 0.155707 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 660 | 2.280906 | 2.307882 | -0.053265 | -0.887515 | -1.868426 | 1.169781 | -0.437503 | -1.026167 | -0.961486 | 1.153254 | -0.876035 | 2.525591 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -1.064470 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 661 | -0.438422 | 0.665354 | -1.550643 | -0.147150 | 0.085049 | -1.575686 | -0.535916 | 0.379672 | -0.057788 | -0.660853 | -0.369273 | 0.523316 | 1.582663 | 2.346151 | 0.266233 | 0.241988 | -0.935905 | -0.620189 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 662 | 2.280906 | -1.853188 | -0.749893 | -0.887515 | 0.085049 | 0.254625 | -0.831155 | -1.026167 | -0.961486 | 0.246200 | -0.947428 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -1.193036 | 0.155707 | -1.077862 | -0.817734 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 663 | 2.280906 | -1.743687 | 1.548235 | 1.086793 | -1.868426 | 1.169781 | -0.043851 | 0.379672 | -0.961486 | 1.153254 | -0.809529 | -0.678049 | 1.036019 | -0.426230 | -1.584178 | -0.932014 | -1.321601 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 664 | -0.438422 | -0.101159 | 1.543277 | 0.593216 | -1.868426 | 0.254625 | 0.103769 | 0.379672 | -0.057788 | 1.153254 | 0.017650 | -1.078504 | 0.489376 | -0.426230 | -1.584178 | 0.241988 | 0.735447 | -0.620189 | -1.077862 | 1.468189 | 1.041095 | 0.562576 | 1.927956 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 665 | -0.438422 | 1.103362 | 1.615171 | -0.887515 | 1.061787 | 1.169781 | -0.043851 | -1.026167 | -0.961486 | 1.153254 | -0.681829 | -0.678049 | 0.762698 | -0.426230 | -1.584178 | -0.932014 | -1.064470 | 0.155707 | -1.077862 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 666 | 2.280906 | -1.634185 | -0.459838 | -0.764121 | -1.868426 | -0.660531 | -1.569253 | 0.379672 | -0.057788 | 0.246200 | -0.495486 | -1.078504 | 1.036019 | -0.426230 | -1.584178 | 0.241988 | -0.935905 | 0.155707 | 1.754054 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 667 | 2.280906 | 0.446350 | 0.700382 | -0.887515 | 1.061787 | -0.660531 | -0.437503 | -2.432006 | -0.961486 | 1.153254 | -0.791468 | 0.523316 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | -1.396086 | -1.077862 | -0.001333 | 0.764998 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 668 | -0.438422 | -0.977174 | 0.477263 | -0.023755 | 0.085049 | 0.254625 | 0.546627 | 0.379672 | -0.961486 | 0.246200 | -0.876672 | 0.923771 | 0.762698 | -0.426230 | -0.658973 | 0.241988 | -0.678774 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 669 | 2.280906 | 0.227347 | 0.792109 | -0.393938 | 0.085049 | 1.169781 | 0.202182 | 0.379672 | -0.961486 | -1.567907 | -0.870935 | 1.724681 | 1.582663 | 2.346151 | 1.191438 | -0.932014 | -0.421642 | -0.620189 | -2.493820 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 670 | -0.438422 | -1.086676 | -0.457359 | -0.640727 | 0.085049 | -0.660531 | 0.497421 | 0.379672 | -0.961486 | 0.246200 | -0.889209 | -0.678049 | 1.036019 | -0.426230 | 0.266233 | -0.932014 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 671 | -0.438422 | -0.320163 | -0.635854 | 0.099639 | 0.085049 | -0.660531 | 0.841867 | 0.379672 | -0.961486 | -0.660853 | -0.955077 | -0.678049 | -0.330589 | -0.426230 | -0.658973 | 1.415991 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 672 | -0.438422 | 0.555852 | -0.844099 | 0.593216 | -0.891688 | 0.254625 | 0.103769 | -1.026167 | -0.057788 | 0.246200 | -0.055017 | 1.724681 | 0.489376 | -0.426230 | -1.584178 | -0.932014 | -0.164511 | 2.483396 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 673 | -0.438422 | -0.429664 | 0.980520 | -1.010909 | 1.061787 | 0.254625 | 1.678377 | -1.026167 | -0.961486 | -1.567907 | -0.787006 | 0.122861 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | -0.678774 | -1.396086 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 674 | -0.438422 | 2.307882 | 1.163974 | -0.517332 | 0.085049 | 0.254625 | -1.421633 | -1.026167 | 0.845911 | -0.660853 | 0.860341 | -0.277594 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | 1.635406 | 0.155707 | 0.338096 | -0.164613 | -1.167687 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 675 | -0.438422 | -0.648668 | -1.607662 | -0.270544 | 1.061787 | -0.660531 | -1.224807 | -1.026167 | -0.961486 | 0.246200 | -0.886871 | 0.122861 | -0.057267 | -0.426230 | -0.658973 | -0.932014 | 0.221185 | -0.620189 | 1.754054 | -0.001333 | 0.764998 | 0.873006 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 676 | -0.438422 | -0.210661 | 0.829295 | 1.456975 | -1.868426 | 1.169781 | -0.732742 | 0.379672 | -0.057788 | 1.153254 | -0.528845 | -0.678049 | 2.675949 | 2.346151 | 1.191438 | 0.241988 | -0.164511 | -0.620189 | -2.493820 | 0.488508 | 0.488900 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 677 | -0.438422 | 1.322365 | -0.682957 | -0.147150 | -0.891688 | -1.575686 | -0.732742 | 0.379672 | 0.845911 | -0.660853 | 0.191245 | 0.523316 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 2.278234 | 0.155707 | -1.077862 | 3.100991 | 1.317193 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 678 | -0.438422 | 1.212863 | 1.652357 | 1.333581 | 1.061787 | 1.169781 | -0.732742 | 0.379672 | -0.961486 | 0.246200 | -0.901745 | 0.523316 | 0.489376 | -0.426230 | -1.584178 | 1.415991 | 0.221185 | -0.620189 | -1.077862 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 679 | -0.438422 | -0.648668 | 0.955729 | 1.333581 | -0.891688 | 1.169781 | -1.027981 | 0.379672 | -0.057788 | 0.246200 | 0.091168 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.293077 | -0.620189 | -1.077862 | 0.325228 | 1.041095 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 680 | -0.438422 | -0.101159 | -1.523373 | -0.270544 | 1.061787 | -0.660531 | -0.043851 | 0.379672 | -0.961486 | 1.153254 | -0.387759 | -0.277594 | 0.762698 | -0.426230 | 0.266233 | -0.932014 | -0.421642 | 2.483396 | 0.338096 | -0.164613 | -0.615492 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 681 | -0.438422 | 0.117845 | 1.315199 | -1.010909 | 0.085049 | 1.169781 | 0.694247 | 0.379672 | 0.845911 | -1.567907 | 1.504151 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 0.478316 | 0.155707 | 0.338096 | 1.304909 | 2.145487 | 0.873006 | 1.927956 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 682 | -0.438422 | -0.539166 | 0.945813 | -1.010909 | 0.085049 | 0.254625 | 0.202182 | -1.026167 | -0.961486 | -0.660853 | -0.886234 | 1.324226 | 1.309341 | 2.346151 | 0.266233 | -0.932014 | -0.807339 | 0.155707 | 0.338096 | -0.654454 | -1.167687 | -0.679146 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 683 | 2.280906 | -1.305679 | 0.159938 | 1.210187 | -0.891688 | 0.254625 | -1.470840 | -1.026167 | -0.961486 | -0.660853 | -0.869023 | -0.678049 | 0.762698 | -0.426230 | 0.266233 | 2.589994 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 |
| 684 | -0.438422 | 0.336849 | -0.358195 | 0.099639 | 1.061787 | -1.575686 | 0.054562 | -1.026167 | 0.845911 | -0.660853 | 0.680371 | -0.277594 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -0.035946 | -0.620189 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 685 | -0.438422 | -1.196177 | 1.191244 | -1.010909 | 0.085049 | 0.254625 | -0.683535 | -1.026167 | -0.057788 | -1.567907 | -0.469351 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | -0.550208 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 686 | -0.438422 | 0.446350 | -1.337440 | -0.393938 | 0.085049 | 1.169781 | -0.339090 | 0.379672 | -0.961486 | -1.567907 | -0.378622 | -0.277594 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | 1.121144 | 0.155707 | 0.338096 | 1.794749 | 2.421585 | -0.058285 | 3.610079 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 687 | -0.438422 | -0.101159 | 0.335954 | -0.887515 | 1.061787 | 0.254625 | 0.645041 | 0.379672 | -0.961486 | 0.246200 | -0.846500 | 0.523316 | 1.582663 | 2.346151 | 0.266233 | -0.932014 | 0.606882 | 2.483396 | 0.338096 | 0.651788 | 1.041095 | 0.252146 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 688 | 2.280906 | -1.962690 | -0.950700 | 1.456975 | 0.085049 | 1.169781 | -1.421633 | -1.026167 | -0.961486 | -0.660853 | -0.931067 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | -0.932014 | -1.321601 | 0.155707 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 689 | 2.280906 | -1.853188 | -1.669640 | -0.640727 | 0.085049 | -1.575686 | 0.891073 | 0.379672 | -0.961486 | -1.567907 | -0.750035 | -0.678049 | 1.036019 | -0.426230 | -0.658973 | -0.932014 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 690 | -0.438422 | -0.648668 | -0.462317 | 0.346427 | 0.085049 | 1.169781 | -1.224807 | 0.379672 | -0.057788 | 1.153254 | -0.137672 | -1.078504 | -1.150554 | -0.426230 | 0.266233 | 1.415991 | -0.164511 | -0.620189 | -2.493820 | 0.325228 | 0.764998 | 1.804297 | 0.245834 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 691 | -0.438422 | 0.336849 | 1.652357 | -0.023755 | 1.061787 | 1.169781 | -1.520046 | 0.379672 | -0.961486 | -0.660853 | -0.613199 | 2.125136 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -1.064470 | -0.620189 | 0.338096 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 692 | -0.438422 | -0.539166 | -0.754851 | -0.764121 | 1.061787 | 0.254625 | 1.333932 | 0.379672 | -0.057788 | -1.567907 | 0.047185 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -0.421642 | -0.620189 | 1.754054 | 0.161947 | 0.764998 | 1.183437 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 693 | 2.280906 | -0.101159 | -0.675520 | -0.764121 | -1.868426 | 0.254625 | -0.732742 | -1.026167 | 0.845911 | 1.153254 | 0.812108 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | 0.606882 | 2.483396 | 0.338096 | 1.468189 | 0.764998 | 0.252146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 694 | -0.438422 | -0.429664 | 0.660716 | -1.010909 | 0.085049 | -0.660531 | -1.175601 | -1.026167 | -0.057788 | 1.153254 | 0.094780 | -1.078504 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.327893 | -1.167687 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 695 | 2.280906 | 0.008343 | -0.440005 | -1.010909 | 1.061787 | -1.575686 | -0.978775 | -1.026167 | 0.845911 | 0.246200 | 0.872452 | 0.923771 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | 0.735447 | -0.620189 | -2.493820 | 1.141629 | -0.891589 | 2.735589 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 696 | -0.438422 | 0.884358 | 0.006233 | -0.640727 | -0.891688 | 0.254625 | -0.437503 | 0.379672 | -0.057788 | -0.660853 | -0.436842 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | -0.293077 | 1.707500 | -1.077862 | 0.325228 | 0.764998 | -0.679146 | 1.086895 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 697 | -0.438422 | -0.867672 | 1.491215 | 1.333581 | 0.085049 | 0.254625 | 0.891073 | 0.379672 | -0.961486 | 1.153254 | -0.923418 | -0.678049 | -0.057267 | -0.426230 | -0.658973 | 0.241988 | -1.064470 | 1.707500 | 0.338096 | -0.654454 | -0.891589 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 698 | -0.438422 | -0.210661 | 1.032581 | 1.086793 | 0.085049 | 0.254625 | 0.989486 | 0.379672 | -0.057788 | 0.246200 | -0.404120 | -0.678049 | 0.216054 | -0.426230 | -0.658973 | -0.932014 | -0.807339 | 0.155707 | 0.338096 | -0.327893 | -0.615492 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 699 | -0.438422 | 1.650871 | 0.621051 | -1.010909 | -0.891688 | 1.169781 | 0.202182 | 0.379672 | 1.749610 | 1.153254 | 2.251438 | -0.277594 | -0.057267 | -0.426230 | -0.658973 | 0.241988 | 1.892537 | -0.620189 | -1.077862 | 0.325228 | 1.041095 | 1.493867 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 700 | 2.280906 | 2.307882 | -1.272984 | -0.887515 | 0.085049 | 1.169781 | -0.732742 | 0.379672 | -0.961486 | 0.246200 | -0.854999 | 0.523316 | 2.402628 | 2.346151 | -1.584178 | -0.932014 | -0.550208 | 0.931603 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 701 | -0.438422 | 1.760373 | 1.421801 | -0.887515 | -0.891688 | 0.254625 | -1.027981 | 0.379672 | 1.749610 | 0.246200 | 1.773999 | 1.324226 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | 1.378275 | 0.155707 | 1.754054 | 1.631469 | 2.421585 | 3.977310 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 702 | -0.438422 | -0.758170 | -1.416772 | -0.147150 | -0.891688 | 0.254625 | -0.191470 | 0.379672 | 0.845911 | 0.246200 | 0.161711 | 0.923771 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | -0.620189 | 1.754054 | 0.161947 | -0.063296 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 703 | -0.438422 | 0.117845 | -1.612621 | 0.099639 | 0.085049 | 0.254625 | 0.940280 | 0.379672 | -0.057788 | 1.153254 | -0.177830 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | -0.932014 | -0.678774 | -1.396086 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -0.314873 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 704 | -0.438422 | -0.210661 | 0.197124 | -0.764121 | 1.061787 | 1.169781 | 1.284725 | 0.379672 | 0.845911 | 1.153254 | 0.280486 | 1.324226 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 0.092620 | -0.620189 | 0.338096 | 0.488508 | 1.317193 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 705 | -0.438422 | 0.227347 | 0.249185 | -0.887515 | 2.038524 | -1.575686 | -1.224807 | 1.785511 | 0.845911 | 0.246200 | 0.292598 | -1.078504 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | 0.155707 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 706 | 2.280906 | 0.336849 | 1.677148 | 1.827158 | 0.085049 | -0.660531 | 1.678377 | 1.785511 | 1.749610 | -0.660853 | 1.421709 | 0.523316 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | 1.378275 | -0.620189 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 707 | -0.438422 | 1.103362 | 1.429238 | 0.840004 | 1.061787 | 0.254625 | -0.093057 | 1.785511 | -0.057788 | 0.246200 | -0.305105 | -0.678049 | 1.036019 | -0.426230 | 0.266233 | -0.932014 | 1.121144 | 0.155707 | 1.754054 | 1.958030 | 1.593291 | -0.058285 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 708 | -0.438422 | -0.101159 | 1.057373 | -0.147150 | 1.061787 | -1.575686 | 0.891073 | 0.379672 | -0.057788 | 1.153254 | -0.302555 | 0.523316 | -0.603911 | -0.426230 | 1.191438 | 1.415991 | 0.092620 | 0.155707 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 709 | 2.280906 | -0.648668 | -1.158945 | -0.023755 | -0.891688 | 0.254625 | -0.978775 | -1.026167 | -0.961486 | -1.567907 | -0.888571 | -1.078504 | 1.855984 | 2.346151 | -1.584178 | -0.932014 | -0.935905 | -2.171982 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 710 | -0.438422 | -0.429664 | -0.199532 | 0.963398 | 0.085049 | 1.169781 | -1.372427 | 0.379672 | 1.749610 | 0.246200 | 2.324744 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 1.041095 | 1.183437 | -1.155935 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 711 | 2.280906 | -0.867672 | 0.256622 | 0.099639 | 0.085049 | 1.169781 | 1.284725 | -1.026167 | -0.961486 | -1.567907 | -0.870935 | 1.324226 | 1.309341 | 2.346151 | 0.266233 | -0.932014 | -1.064470 | 1.707500 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 712 | -0.438422 | -0.429664 | -0.846578 | 0.469821 | -1.868426 | -0.660531 | -0.634329 | 0.379672 | -0.961486 | 1.153254 | -0.648258 | 0.122861 | 0.762698 | -0.426230 | -1.584178 | -0.932014 | -0.807339 | 0.931603 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 713 | -0.438422 | 0.884358 | 0.425201 | -1.010909 | 1.061787 | 1.169781 | 1.235519 | 0.379672 | -0.961486 | 1.153254 | -0.899408 | 0.122861 | -0.330589 | -0.426230 | 1.191438 | 1.415991 | -0.421642 | -0.620189 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 714 | -0.438422 | 1.431867 | 0.802025 | -1.010909 | -0.891688 | 1.169781 | 0.005356 | 0.379672 | 1.749610 | 1.153254 | 2.315182 | 2.525591 | 1.855984 | 2.346151 | 0.266233 | 0.241988 | 2.663930 | -1.396086 | -1.077862 | -0.327893 | -0.063296 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 715 | -0.438422 | -0.429664 | 0.060773 | -1.010909 | 1.061787 | 0.254625 | 0.891073 | 1.785511 | -0.057788 | -0.660853 | -0.215651 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -0.678774 | -0.620189 | 0.338096 | -0.164613 | 0.212802 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 716 | -0.438422 | 0.446350 | 0.093002 | -0.023755 | 0.085049 | -1.575686 | -0.093057 | 0.379672 | 2.653309 | 0.246200 | 2.744389 | -0.277594 | 0.489376 | -0.426230 | -0.658973 | 0.241988 | 1.249709 | -0.620189 | 1.754054 | 1.794749 | 3.249878 | -0.679146 | 1.927956 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 717 | -0.438422 | -1.086676 | 0.821858 | 0.840004 | 1.061787 | 0.254625 | -1.421633 | 0.379672 | -0.961486 | -0.660853 | -0.784457 | 2.525591 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | -0.935905 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 718 | -0.438422 | 0.884358 | -1.374627 | 1.703764 | -0.891688 | 1.169781 | -1.175601 | 0.379672 | -0.057788 | -1.567907 | -0.609799 | -0.678049 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | -0.293077 | -0.620189 | 0.338096 | 0.325228 | 1.041095 | -0.679146 | 1.086895 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 719 | -0.438422 | 1.103362 | 0.378099 | -0.640727 | -0.891688 | 1.169781 | 0.841867 | 0.379672 | -0.057788 | 1.153254 | -0.497185 | -0.678049 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | -0.293077 | -2.171982 | 0.338096 | 0.325228 | -1.167687 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 720 | 2.280906 | -0.758170 | -1.647328 | 1.580370 | 0.085049 | -1.575686 | -0.880361 | 0.379672 | -0.961486 | 0.246200 | -0.928730 | 0.523316 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | -0.550208 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 721 | -0.438422 | 1.431867 | 0.338433 | 1.827158 | 0.085049 | 1.169781 | 1.432345 | 0.379672 | 1.749610 | 0.246200 | 1.587230 | 0.122861 | 0.762698 | -0.426230 | 1.191438 | 0.241988 | 1.378275 | -0.620189 | 0.338096 | 0.815068 | 1.869389 | -0.368715 | 0.245834 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 722 | -0.438422 | 0.117845 | 1.458987 | 0.099639 | -1.868426 | 0.254625 | 0.005356 | 0.379672 | -0.961486 | 0.246200 | -0.811441 | -1.078504 | 0.489376 | -0.426230 | -0.658973 | 0.241988 | -1.064470 | -2.171982 | -1.077862 | -0.817734 | -0.891589 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 723 | -0.438422 | 0.993860 | -0.586272 | -0.270544 | -0.891688 | 1.169781 | 0.448214 | 0.379672 | 0.845911 | 0.246200 | 0.922597 | 1.324226 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 0.221185 | 0.155707 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 724 | -0.438422 | -1.415181 | 1.000353 | 0.963398 | -1.868426 | 1.169781 | -1.224807 | -1.026167 | -0.057788 | 0.246200 | -0.451715 | -0.678049 | -0.057267 | -0.426230 | -0.658973 | 1.415991 | -0.807339 | 2.483396 | 0.338096 | -0.491174 | -0.615492 | 0.252146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 725 | 2.280906 | -0.210661 | -0.447443 | 0.593216 | 1.061787 | 0.254625 | -1.323220 | -1.026167 | -0.961486 | -0.660853 | -0.586426 | -0.678049 | 2.402628 | 2.346151 | 1.191438 | 0.241988 | -0.807339 | -0.620189 | -2.493820 | -0.491174 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 726 | -0.438422 | -0.648668 | 0.125230 | -1.010909 | -1.868426 | 0.254625 | 1.481551 | 0.379672 | -0.057788 | -1.567907 | -0.500373 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -0.935905 | -1.396086 | 0.338096 | -0.491174 | -0.339394 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 727 | -0.438422 | -2.072192 | -1.277942 | -0.517332 | -0.891688 | -0.660531 | 0.349801 | 0.379672 | -0.961486 | 1.153254 | -1.158419 | -0.678049 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | -1.450167 | -0.620189 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 728 | -0.438422 | 1.869874 | 1.582942 | 0.963398 | 0.085049 | 0.254625 | -0.486709 | 0.379672 | 0.845911 | 0.246200 | 0.900074 | 2.125136 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 1.378275 | -0.620189 | 0.338096 | 0.488508 | 0.764998 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 729 | -0.438422 | -0.210661 | -0.544128 | 1.950552 | 1.061787 | 0.254625 | -0.437503 | 0.379672 | 0.845911 | 0.246200 | 0.825494 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 0.606882 | 0.155707 | -1.077862 | 1.468189 | 1.593291 | 2.425158 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 730 | -0.438422 | -0.758170 | -1.610141 | -0.147150 | -0.891688 | -0.660531 | 0.349801 | 1.785511 | 0.845911 | -1.567907 | 1.043922 | -1.078504 | -0.877232 | -0.426230 | 0.266233 | 2.589994 | -0.293077 | 0.931603 | -1.077862 | 0.161947 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 731 | 2.280906 | -1.853188 | 0.730131 | 0.223033 | 0.085049 | 1.169781 | 1.579964 | -1.026167 | -0.961486 | -1.567907 | -0.829290 | -0.678049 | -0.057267 | -0.426230 | -1.584178 | -0.932014 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 732 | 2.280906 | -0.758170 | -1.719222 | -0.517332 | 0.085049 | -0.660531 | -0.289883 | 0.379672 | -0.961486 | -0.660853 | -0.867111 | -1.078504 | 0.489376 | -0.426230 | -1.584178 | -0.932014 | -0.935905 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 733 | -0.438422 | -1.196177 | 0.653279 | -0.887515 | -0.891688 | 1.169781 | -1.667666 | 1.785511 | -0.057788 | 1.153254 | -0.219051 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 734 | -0.438422 | -1.634185 | -1.451479 | -0.147150 | -1.868426 | -0.660531 | 1.383138 | -2.432006 | -0.961486 | -1.567907 | -0.860949 | -0.678049 | -0.057267 | -0.426230 | -1.584178 | 0.241988 | -0.935905 | 0.155707 | -1.077862 | -0.491174 | -0.339394 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 735 | -0.438422 | 1.212863 | -1.302733 | -0.393938 | 0.085049 | -1.575686 | 1.530758 | -1.026167 | -0.057788 | 0.246200 | -0.480825 | -0.277594 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | 0.992578 | -2.171982 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 736 | -0.438422 | 1.212863 | 1.369739 | -0.640727 | 1.061787 | 0.254625 | 0.595834 | -1.026167 | 0.845911 | 0.246200 | 0.955319 | 1.724681 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | 2.021103 | 0.155707 | 0.338096 | 1.304909 | 1.869389 | 0.562576 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 737 | -0.438422 | 0.446350 | -0.628417 | -0.270544 | -0.891688 | 1.169781 | -1.175601 | 0.379672 | -0.057788 | 0.246200 | -0.318703 | 1.324226 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.421642 | 2.483396 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 738 | -0.438422 | 0.227347 | -0.834182 | -1.010909 | -1.868426 | 1.169781 | -0.043851 | -1.026167 | 1.749610 | 1.153254 | 1.325669 | -0.678049 | 0.216054 | -0.426230 | 0.266233 | 0.241988 | 1.249709 | 0.155707 | 0.338096 | 2.284590 | 0.488900 | 2.735589 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 739 | -0.438422 | -1.086676 | 0.626009 | -0.887515 | 1.061787 | -1.575686 | -0.929568 | 0.379672 | -0.057788 | 1.153254 | -0.483587 | -1.078504 | 0.762698 | -0.426230 | -0.658973 | 0.241988 | -0.935905 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 740 | -0.438422 | -0.210661 | -0.001204 | 0.099639 | 0.085049 | -0.660531 | -1.027981 | 0.379672 | -0.961486 | 1.153254 | -0.549455 | -0.678049 | 1.309341 | 2.346151 | -1.584178 | 0.241988 | -1.064470 | 0.931603 | -1.077862 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 741 | -0.438422 | 0.555852 | -1.332482 | -0.517332 | -0.891688 | 1.169781 | 1.186312 | 0.379672 | 2.653309 | 0.246200 | 2.507263 | 1.324226 | -0.603911 | -0.426230 | -0.658973 | -0.932014 | 1.249709 | 0.155707 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 742 | -0.438422 | 1.431867 | 0.003754 | -0.023755 | 0.085049 | -1.575686 | -0.093057 | 0.379672 | -0.961486 | 1.153254 | -0.876035 | 0.523316 | 0.762698 | -0.426230 | -0.658973 | -0.932014 | -0.421642 | 1.707500 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 743 | -0.438422 | 2.417384 | -0.216886 | -0.887515 | 0.085049 | 0.254625 | 0.152975 | -1.026167 | 1.749610 | 1.153254 | 1.534748 | 0.122861 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | 2.406799 | 0.931603 | 0.338096 | -0.327893 | -0.339394 | 0.562576 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 744 | 2.280906 | 0.008343 | 0.839212 | 0.223033 | -0.891688 | -1.575686 | -0.240677 | -2.432006 | -0.057788 | -0.660853 | -0.366724 | 0.923771 | -0.057267 | -0.426230 | -1.584178 | -0.932014 | 0.478316 | -0.620189 | -2.493820 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 745 | -0.438422 | 1.979376 | -1.654765 | 1.086793 | 1.061787 | 0.254625 | -0.191470 | 0.379672 | -0.057788 | -0.660853 | -0.025058 | 0.122861 | -0.330589 | -0.426230 | 1.191438 | 1.415991 | 0.735447 | 0.155707 | 0.338096 | 0.161947 | 0.764998 | 1.183437 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 746 | -0.438422 | 0.446350 | -1.377106 | -0.270544 | -1.868426 | -0.660531 | -0.535916 | -2.432006 | 2.653309 | 0.246200 | 2.862102 | -0.678049 | 1.855984 | 2.346151 | -0.658973 | 1.415991 | 1.249709 | 0.155707 | 0.338096 | 2.284590 | 3.249878 | 0.873006 | 1.647603 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 747 | -0.438422 | 0.117845 | 0.576427 | -0.764121 | 1.061787 | -0.660531 | -1.175601 | 0.379672 | -0.057788 | 1.153254 | 0.076082 | 2.125136 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | 0.992578 | -1.396086 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 748 | 2.280906 | -1.196177 | -1.332482 | 2.444129 | -0.891688 | -0.660531 | 0.645041 | -2.432006 | -0.057788 | -1.567907 | -0.325928 | 2.125136 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | -0.550208 | 2.483396 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 749 | 2.280906 | 1.650871 | -1.330003 | -0.887515 | -1.868426 | -1.575686 | -0.437503 | -2.432006 | 2.653309 | 1.153254 | 2.834905 | -0.678049 | -0.057267 | -0.426230 | 1.191438 | 0.241988 | 2.792496 | 0.155707 | 0.338096 | 4.080672 | 2.697683 | 1.183437 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 750 | -0.438422 | 0.774856 | 1.600296 | 2.320735 | 0.085049 | 1.169781 | -0.634329 | 1.785511 | 1.749610 | 1.153254 | 1.448482 | 0.122861 | 0.762698 | -0.426230 | 0.266233 | 0.241988 | 1.506840 | -0.620189 | 0.338096 | 0.815068 | 1.869389 | 2.735589 | 1.927956 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 751 | -0.438422 | 1.431867 | -1.629974 | -1.010909 | 0.085049 | 1.169781 | 1.432345 | 0.379672 | -0.057788 | 0.246200 | -0.033132 | -1.078504 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | 0.992578 | 0.155707 | 0.338096 | 1.794749 | 0.764998 | -0.679146 | 2.488664 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 752 | 2.280906 | -0.101159 | 0.204561 | 0.840004 | 1.061787 | 0.254625 | -1.126394 | 1.785511 | -0.961486 | -1.567907 | -0.798905 | -0.678049 | 0.216054 | -0.426230 | 0.266233 | -0.932014 | 0.864013 | -1.396086 | 0.338096 | 1.631469 | 2.421585 | 3.977310 | 2.769018 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 753 | -0.438422 | 0.227347 | 0.353307 | 1.580370 | 0.085049 | 1.169781 | 0.792660 | 0.379672 | 0.845911 | -1.567907 | 0.930034 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | 1.249709 | -0.620189 | 0.338096 | 2.284590 | 0.488900 | -0.058285 | 1.086895 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 754 | -0.438422 | -0.429664 | 0.583864 | -0.147150 | -1.868426 | -0.660531 | 1.087899 | -1.026167 | -0.961486 | 1.153254 | -0.884109 | -1.078504 | 1.036019 | -0.426230 | 1.191438 | -0.932014 | -1.064470 | -0.620189 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 755 | -0.438422 | 0.884358 | 1.069768 | 0.223033 | -0.891688 | 1.169781 | 1.186312 | 0.379672 | 1.749610 | 1.153254 | 2.368514 | 0.122861 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 1.892537 | 0.931603 | 1.754054 | 0.325228 | -0.339394 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 756 | -0.438422 | -0.539166 | 0.759880 | 2.444129 | 1.061787 | 1.169781 | 0.152975 | 0.379672 | -0.961486 | 0.246200 | -0.526508 | 2.525591 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | 1.493867 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 757 | -0.438422 | -0.320163 | -1.453958 | -1.010909 | 1.061787 | -0.660531 | 0.448214 | 1.785511 | -0.057788 | 1.153254 | 0.684621 | -1.078504 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | 0.606882 | -0.620189 | -1.077862 | 1.304909 | -0.891589 | -0.679146 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 758 | -0.438422 | 2.417384 | 0.710298 | -1.010909 | -0.891688 | -0.660531 | 0.005356 | 0.379672 | 0.845911 | 1.153254 | 1.147612 | 0.122861 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 0.349751 | -1.396086 | -2.493820 | -0.164613 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 759 | -0.438422 | 0.884358 | -0.035912 | 1.827158 | 1.061787 | -0.660531 | -1.470840 | 0.379672 | -0.961486 | -0.660853 | -0.919168 | -0.678049 | 0.216054 | -0.426230 | -1.584178 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.164613 | -0.339394 | -0.679146 | -0.034520 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 760 | -0.438422 | 1.760373 | -1.682035 | -0.887515 | 0.085049 | 0.254625 | -1.372427 | -1.026167 | 0.845911 | -0.660853 | 0.217168 | -0.277594 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | 2.406799 | -0.620189 | 0.338096 | 1.304909 | 0.764998 | 1.183437 | 2.208310 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 761 | 2.280906 | -0.101159 | -0.353237 | 0.716610 | 0.085049 | -1.575686 | 0.743454 | 0.379672 | -0.057788 | 0.246200 | -0.354612 | 1.724681 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | -0.293077 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 762 | 2.280906 | -1.196177 | -1.141591 | -0.887515 | 0.085049 | -1.575686 | -0.437503 | 0.379672 | -0.961486 | -1.567907 | -0.947853 | 1.324226 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | -0.678774 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 763 | -0.438422 | -0.320163 | 1.315199 | 0.099639 | 1.061787 | 0.254625 | 1.038693 | 0.379672 | -0.961486 | 0.246200 | -0.910031 | -0.678049 | 1.036019 | -0.426230 | 1.191438 | 0.241988 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 |
| 764 | -0.438422 | -0.977174 | 0.846649 | 0.099639 | -1.868426 | 1.169781 | 0.399008 | 0.379672 | -0.961486 | -0.660853 | -1.158207 | -0.678049 | 1.855984 | 2.346151 | -0.658973 | -0.932014 | -1.321601 | 1.707500 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 765 | -0.438422 | 0.117845 | 0.950771 | -0.764121 | 1.061787 | 0.254625 | -1.077188 | 0.379672 | -0.961486 | 0.246200 | -0.782332 | 0.122861 | 0.216054 | -0.426230 | -1.584178 | 0.241988 | -0.421642 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 766 | -0.438422 | 1.431867 | 1.639962 | -0.887515 | 1.061787 | -0.660531 | -0.191470 | 0.379672 | 2.653309 | 0.246200 | 2.705718 | -0.277594 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | 2.278234 | -0.620189 | -1.077862 | 0.161947 | -0.891589 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 767 | -0.438422 | 0.008343 | -1.682035 | -0.764121 | 0.085049 | 1.169781 | -1.520046 | 0.379672 | -0.057788 | -0.660853 | -0.509084 | 0.122861 | -0.057267 | -0.426230 | -1.584178 | -0.932014 | -0.421642 | 0.155707 | -1.077862 | -0.491174 | -0.339394 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 768 | -0.438422 | 0.336849 | -1.245713 | 2.073946 | 0.085049 | 0.254625 | 0.399008 | 0.379672 | -0.057788 | -1.567907 | 0.402237 | -0.678049 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | -0.421642 | 0.155707 | -1.077862 | -0.001333 | 0.764998 | 1.493867 | 0.245834 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 769 | -0.438422 | -1.196177 | 0.293809 | -1.010909 | -1.868426 | -1.575686 | 0.005356 | -1.026167 | -0.961486 | 0.246200 | -0.955289 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | 1.415991 | -0.807339 | 1.707500 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 770 | -0.438422 | 0.993860 | -0.923430 | -1.010909 | 1.061787 | 1.169781 | -1.274014 | 0.379672 | 2.653309 | 1.153254 | 2.788584 | 2.525591 | 0.489376 | -0.426230 | 1.191438 | 1.415991 | 1.506840 | -2.171982 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 771 | -0.438422 | 1.869874 | 0.692944 | -0.887515 | 1.061787 | 0.254625 | -1.224807 | -1.026167 | 0.845911 | 0.246200 | 0.888813 | 1.324226 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | 0.221185 | 0.931603 | 0.338096 | 0.325228 | -0.063296 | 1.493867 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 772 | -0.438422 | 2.088878 | 1.084643 | -0.023755 | 0.085049 | -1.575686 | -0.142264 | 0.379672 | -0.961486 | 0.246200 | -0.756622 | -0.277594 | 1.036019 | -0.426230 | -0.658973 | 0.241988 | 0.864013 | 0.931603 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 773 | -0.438422 | -0.101159 | -0.016079 | 0.346427 | 2.038524 | 1.169781 | -0.732742 | -1.026167 | 0.845911 | 1.153254 | 0.500402 | -1.078504 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | 0.478316 | -0.620189 | -1.077862 | 1.141629 | 1.041095 | 1.493867 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 774 | -0.438422 | 1.979376 | -0.888723 | -0.887515 | -1.868426 | 0.254625 | -1.274014 | -1.026167 | 1.749610 | -1.567907 | 2.178558 | 1.724681 | -0.057267 | -0.426230 | -0.658973 | -0.932014 | 2.535365 | 0.155707 | 1.754054 | 0.325228 | 0.764998 | 1.183437 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 775 | -0.438422 | 0.665354 | -0.960617 | 1.950552 | 0.085049 | 0.254625 | 0.645041 | -1.026167 | 0.845911 | 1.153254 | 0.912610 | 0.923771 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | 0.864013 | 1.707500 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 776 | 2.280906 | -1.853188 | -0.083015 | -0.023755 | 0.085049 | 1.169781 | -0.585122 | 0.379672 | -0.961486 | 1.153254 | -0.888146 | -0.678049 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -1.193036 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 777 | 2.280906 | -1.743687 | 1.317678 | 0.099639 | 0.085049 | 0.254625 | -1.470840 | -1.026167 | -0.961486 | -1.567907 | -1.080864 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | -1.321601 | 2.483396 | -1.077862 | -0.981014 | -1.167687 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 778 | -0.438422 | 0.993860 | 0.497095 | -0.147150 | 1.061787 | 1.169781 | 0.399008 | -1.026167 | -0.057788 | -1.567907 | -0.401145 | 2.125136 | 2.129306 | 2.346151 | -1.584178 | 2.589994 | 0.992578 | -0.620189 | 0.338096 | 1.468189 | 2.421585 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 779 | 2.280906 | 1.541369 | 1.290408 | -0.640727 | 1.061787 | -1.575686 | -1.569253 | 0.379672 | -0.961486 | 0.246200 | -0.858824 | 2.525591 | -0.877232 | -0.426230 | 0.266233 | 2.589994 | 0.864013 | -0.620189 | 1.754054 | 0.488508 | -1.167687 | -0.058285 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 780 | 2.280906 | -0.977174 | 1.397010 | 1.827158 | -0.891688 | -0.660531 | 0.300595 | -1.026167 | 0.845911 | -1.567907 | 0.471505 | -0.678049 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -0.164511 | -0.620189 | -1.077862 | 0.488508 | 0.764998 | -0.368715 | 1.367249 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 781 | -0.438422 | -1.196177 | -1.513456 | -1.010909 | -0.891688 | -1.575686 | -0.339090 | -1.026167 | -0.961486 | -1.567907 | -0.541381 | -0.678049 | 0.216054 | -0.426230 | -1.584178 | 1.415991 | -0.678774 | -0.620189 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 782 | -0.438422 | -0.758170 | 0.925980 | 1.333581 | 0.085049 | 0.254625 | 0.940280 | 0.379672 | -0.057788 | -1.567907 | 0.733916 | -1.078504 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | -0.550208 | -1.396086 | -1.077862 | -0.164613 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 783 | -0.438422 | 0.446350 | -0.727581 | -0.270544 | -0.891688 | -0.660531 | -1.126394 | 1.785511 | -0.961486 | 0.246200 | -0.664406 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 0.488900 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 784 | -0.438422 | 0.117845 | -1.171340 | 0.963398 | -1.868426 | 0.254625 | -0.043851 | -1.026167 | 0.845911 | 0.246200 | 0.492965 | -1.078504 | 0.762698 | -0.426230 | -1.584178 | 0.241988 | 1.121144 | 0.931603 | -1.077862 | 1.958030 | 1.317193 | -0.368715 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 785 | -0.438422 | 0.336849 | 1.709376 | 1.333581 | 1.061787 | -1.575686 | -0.240677 | 0.379672 | 0.845911 | 1.153254 | 0.811471 | 0.523316 | 1.309341 | 2.346151 | 1.191438 | 0.241988 | 0.349751 | 2.483396 | 0.338096 | 0.651788 | 1.593291 | 2.735589 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 786 | -0.438422 | -1.086676 | 1.176369 | -0.147150 | 2.038524 | -1.575686 | 1.038693 | -2.432006 | -0.961486 | 0.246200 | -0.399870 | -0.678049 | 1.036019 | -0.426230 | 1.191438 | 2.589994 | -1.064470 | 0.931603 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 787 | -0.438422 | 1.979376 | 0.715256 | -0.887515 | -1.868426 | 1.169781 | -0.043851 | 0.379672 | 0.845911 | -0.660853 | 0.950432 | 0.122861 | 0.762698 | -0.426230 | -0.658973 | 0.241988 | 1.506840 | 0.931603 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 788 | -0.438422 | -0.977174 | 0.135146 | 0.099639 | 0.085049 | 0.254625 | -0.339090 | 0.379672 | -0.057788 | 0.246200 | -0.604062 | 0.122861 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 0.931603 | 1.754054 | 0.161947 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 789 | 2.280906 | 0.774856 | 1.421801 | -1.010909 | -0.891688 | -0.660531 | 1.235519 | -1.026167 | 0.845911 | -1.567907 | 0.845467 | 2.525591 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | 1.635406 | -1.396086 | 0.338096 | 2.121310 | 0.488900 | 0.252146 | 0.526188 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 790 | -0.438422 | -0.429664 | -0.368111 | -0.517332 | 0.085049 | 1.169781 | -1.569253 | -1.026167 | 0.845911 | 1.153254 | 0.130901 | 0.523316 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | -0.293077 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 791 | 2.280906 | -0.210661 | 0.995395 | -0.640727 | 0.085049 | 1.169781 | 0.989486 | 0.379672 | 0.845911 | -1.567907 | 0.654236 | -1.078504 | 1.855984 | 2.346151 | -1.584178 | -0.932014 | -0.293077 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | 0.562576 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 792 | 2.280906 | -0.429664 | 0.060773 | 2.444129 | 1.061787 | -1.575686 | -0.585122 | -1.026167 | -0.057788 | 0.246200 | -0.423880 | -0.678049 | 1.855984 | 2.346151 | -0.658973 | -0.932014 | 0.349751 | 0.931603 | 0.338096 | 0.978348 | 0.764998 | 0.252146 | 1.086895 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 793 | -0.438422 | -0.977174 | 0.229352 | 0.716610 | -0.891688 | -1.575686 | -0.781948 | 0.379672 | -0.961486 | 0.246200 | -0.912794 | -0.678049 | 0.216054 | -0.426230 | 1.191438 | 0.241988 | -0.935905 | 1.707500 | -1.077862 | -0.491174 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 794 | -0.438422 | -0.320163 | -0.457359 | -0.764121 | -1.868426 | -1.575686 | -1.027981 | 0.379672 | -0.057788 | 1.153254 | 0.266250 | -1.078504 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | -0.550208 | -1.396086 | -1.077862 | -0.164613 | -0.615492 | -0.679146 | -0.034520 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 795 | -0.438422 | 0.008343 | -1.223402 | 0.099639 | 1.061787 | 1.169781 | 1.087899 | -1.026167 | -0.057788 | 1.153254 | 0.040598 | -0.277594 | -0.330589 | -0.426230 | 0.266233 | 2.589994 | -0.421642 | 1.707500 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 796 | 2.280906 | -1.305679 | 1.032581 | -0.640727 | -1.868426 | 1.169781 | -1.667666 | 0.379672 | -0.961486 | 1.153254 | -0.597475 | -0.678049 | -0.057267 | -0.426230 | -0.658973 | 0.241988 | -0.550208 | 0.155707 | 1.754054 | -0.001333 | 0.764998 | 0.873006 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 797 | 2.280906 | -1.196177 | 1.307762 | 1.456975 | 0.085049 | -1.575686 | -1.421633 | 0.379672 | -0.961486 | 0.246200 | -0.876672 | -0.678049 | 1.309341 | 2.346151 | 0.266233 | 0.241988 | -1.321601 | -2.171982 | -1.077862 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 798 | 2.280906 | -0.429664 | 0.531803 | 1.950552 | 0.085049 | -1.575686 | -0.535916 | -1.026167 | -0.961486 | -0.660853 | -0.890271 | 0.523316 | 1.309341 | 2.346151 | -0.658973 | -0.932014 | -0.807339 | -2.171982 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 799 | -0.438422 | 0.555852 | -0.826745 | -0.887515 | -0.891688 | 1.169781 | -1.520046 | 0.379672 | 1.749610 | -1.567907 | 2.371701 | -1.078504 | 0.489376 | -0.426230 | 1.191438 | 0.241988 | 1.506840 | 0.155707 | 0.338096 | 2.447870 | 0.488900 | 3.356449 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 800 | 2.280906 | -0.977174 | 0.511970 | -1.010909 | 0.085049 | -1.575686 | -1.027981 | -1.026167 | -0.961486 | -0.660853 | -0.830139 | -0.678049 | -0.057267 | -0.426230 | -1.584178 | 1.415991 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 801 | 2.280906 | 1.431867 | 0.388015 | -1.010909 | 1.061787 | 1.169781 | 0.743454 | 0.379672 | -0.057788 | 0.246200 | -0.377135 | 0.122861 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.807339 | 0.931603 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 802 | -0.438422 | -0.429664 | 0.415285 | -0.270544 | 0.085049 | 1.169781 | -1.766079 | 0.379672 | -0.057788 | -0.660853 | -0.467651 | -1.078504 | 0.489376 | -0.426230 | 0.266233 | 0.241988 | -0.935905 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 803 | -0.438422 | -0.320163 | -0.261510 | -0.764121 | 1.061787 | 0.254625 | -1.274014 | -1.026167 | -0.961486 | 1.153254 | -0.748760 | 0.122861 | 0.489376 | -0.426230 | 1.191438 | 2.589994 | -0.678774 | -0.620189 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 804 | -0.438422 | 1.212863 | 1.139183 | -1.010909 | 1.061787 | -1.575686 | -1.520046 | 1.785511 | 1.749610 | 1.153254 | 2.205968 | -0.277594 | 1.855984 | 2.346151 | 0.266233 | -0.932014 | 2.021103 | 0.155707 | -1.077862 | -0.327893 | -0.063296 | -0.058285 | -0.875581 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 805 | -0.438422 | 0.884358 | 0.613613 | -0.023755 | 1.061787 | -0.660531 | -0.043851 | -1.026167 | -0.057788 | 0.246200 | -0.193341 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | 0.478316 | -0.620189 | 0.338096 | 1.304909 | 1.593291 | 0.562576 | 2.208310 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 806 | -0.438422 | 1.650871 | 0.474783 | -0.270544 | 1.061787 | -0.660531 | 1.038693 | 0.379672 | 0.845911 | -0.660853 | 0.837605 | 1.724681 | 1.036019 | -0.426230 | 1.191438 | -0.932014 | 0.864013 | 0.931603 | 0.338096 | 0.161947 | 0.488900 | 0.562576 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 807 | -0.438422 | 0.117845 | -0.080535 | 0.099639 | 1.061787 | 0.254625 | 0.349801 | -1.026167 | 0.845911 | 0.246200 | 0.475329 | -1.078504 | -0.330589 | -0.426230 | -0.658973 | 1.415991 | -0.293077 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | -0.058285 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 808 | -0.438422 | -0.867672 | 0.754922 | 2.320735 | 1.061787 | 0.254625 | 1.333932 | 0.379672 | -0.961486 | 1.153254 | -0.847563 | 0.523316 | 1.855984 | 2.346151 | -1.584178 | 0.241988 | -0.035946 | -1.396086 | 0.338096 | -0.001333 | 0.212802 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 809 | -0.438422 | -0.977174 | 0.365703 | -0.764121 | 0.085049 | 1.169781 | 1.333932 | 0.379672 | 0.845911 | -0.660853 | 0.244790 | -1.078504 | 0.489376 | -0.426230 | -0.658973 | 2.589994 | -0.164511 | 0.155707 | -1.077862 | 0.325228 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 810 | -0.438422 | 0.993860 | -0.982929 | -0.764121 | -1.868426 | -1.575686 | -0.683535 | 0.379672 | 1.749610 | 0.246200 | 2.329206 | 0.122861 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | 1.506840 | 0.155707 | 0.338096 | 0.815068 | 1.317193 | 0.562576 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 811 | -0.438422 | 0.117845 | -1.667161 | -0.887515 | -0.891688 | 1.169781 | -1.667666 | 0.379672 | 0.845911 | -0.660853 | 0.180196 | 1.724681 | 0.216054 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 812 | -0.438422 | 0.665354 | 0.692944 | 2.197341 | 0.085049 | 0.254625 | 0.841867 | 0.379672 | 0.845911 | -1.567907 | 0.917285 | 2.125136 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 0.864013 | -1.396086 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | -0.875581 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 813 | 2.280906 | 0.227347 | -1.486186 | -0.887515 | 0.085049 | -1.575686 | 0.891073 | 0.379672 | 1.749610 | 1.153254 | 1.203919 | 1.724681 | -1.150554 | -0.426230 | 1.191438 | 2.589994 | 1.249709 | 0.931603 | 0.338096 | 1.794749 | 0.764998 | 2.735589 | 0.245834 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 814 | -0.438422 | 0.336849 | 1.253222 | 0.593216 | 0.085049 | 0.254625 | -1.077188 | -1.026167 | 2.653309 | 0.246200 | 2.788372 | -0.678049 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | 1.249709 | -0.620189 | 1.754054 | 2.121310 | 0.764998 | 0.562576 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 815 | -0.438422 | -1.743687 | 0.449992 | -1.010909 | -1.868426 | 1.169781 | 0.202182 | -1.026167 | -0.961486 | -0.660853 | -0.941903 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -1.193036 | 2.483396 | 1.754054 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 816 | -0.438422 | 0.227347 | -0.901118 | -0.023755 | 0.085049 | 0.254625 | 0.202182 | 0.379672 | -0.057788 | -0.660853 | 0.059296 | 2.525591 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | -0.293077 | -0.620189 | -1.077862 | -0.327893 | -0.063296 | -0.679146 | -0.314873 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 817 | -0.438422 | -0.101159 | -1.451479 | 1.086793 | 1.061787 | -1.575686 | 0.595834 | 0.379672 | -0.057788 | 1.153254 | 0.271137 | -0.277594 | 1.309341 | 2.346151 | -1.584178 | -0.932014 | 0.864013 | -2.171982 | 0.338096 | 0.651788 | 1.317193 | -0.679146 | 1.367249 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 818 | -0.438422 | -0.648668 | -0.023516 | 1.333581 | 0.085049 | 0.254625 | 0.054562 | 1.785511 | -0.961486 | 1.153254 | -0.788706 | -1.078504 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | -1.064470 | 0.931603 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 819 | -0.438422 | -0.977174 | 1.607733 | -0.887515 | -1.868426 | -1.575686 | 0.054562 | -1.026167 | -0.961486 | -0.660853 | -0.701590 | -1.078504 | 0.489376 | -0.426230 | -1.584178 | -0.932014 | -0.678774 | -0.620189 | -2.493820 | -0.327893 | -0.339394 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 820 | -0.438422 | -0.210661 | 0.940855 | 0.223033 | -0.891688 | 1.169781 | -0.585122 | 0.379672 | -0.057788 | 1.153254 | -0.326140 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | 0.155707 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 821 | -0.438422 | 1.322365 | -1.558080 | -0.147150 | 1.061787 | 1.169781 | -0.486709 | -1.026167 | 1.749610 | -0.660853 | 1.405986 | 1.324226 | 0.489376 | -0.426230 | -0.658973 | 0.241988 | 1.378275 | 0.155707 | 0.338096 | 0.325228 | 1.041095 | -0.058285 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 822 | -0.438422 | -0.320163 | 0.497095 | -0.887515 | -0.891688 | 1.169781 | 1.432345 | 0.379672 | -0.057788 | 0.246200 | -0.524808 | -0.277594 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.807339 | 0.155707 | -1.077862 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 823 | -0.438422 | -0.867672 | -0.774684 | 0.099639 | 0.085049 | 1.169781 | -0.240677 | 0.379672 | -0.961486 | -0.660853 | -0.682467 | -1.078504 | -0.330589 | -0.426230 | 1.191438 | 1.415991 | -0.421642 | -0.620189 | -1.077862 | -0.001333 | 0.212802 | -0.368715 | -0.875581 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 824 | -0.438422 | 0.555852 | -1.523373 | 2.444129 | 0.085049 | -0.660531 | -0.486709 | -2.432006 | -0.057788 | 1.153254 | -0.474025 | 0.523316 | 1.036019 | -0.426230 | -1.584178 | -0.932014 | 0.606882 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 825 | -0.438422 | -0.867672 | -0.209449 | -0.147150 | -1.868426 | -0.660531 | 0.645041 | -1.026167 | -0.057788 | 1.153254 | -0.307442 | -0.678049 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | -0.620189 | -1.077862 | 0.488508 | 0.764998 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 826 | -0.438422 | 0.117845 | -0.915993 | -1.010909 | 0.085049 | 0.254625 | -1.421633 | 1.785511 | -0.961486 | 0.246200 | -0.777445 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.550208 | -0.620189 | 1.754054 | -0.001333 | 0.488900 | 0.873006 | -1.155935 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 827 | -0.438422 | -0.977174 | -0.073098 | -0.393938 | 0.085049 | 0.254625 | -1.323220 | -1.026167 | -0.961486 | 0.246200 | -0.807404 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -1.064470 | -0.620189 | 0.338096 | -0.654454 | -0.891589 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 828 | 2.280906 | -2.072192 | -1.377106 | -0.147150 | -1.868426 | 0.254625 | 0.694247 | 0.379672 | -0.961486 | 0.246200 | -0.977175 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -1.450167 | -2.171982 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 829 | 2.280906 | -0.429664 | -0.494545 | -0.023755 | 1.061787 | -1.575686 | 0.546627 | 0.379672 | -0.057788 | -1.567907 | 0.365690 | -1.078504 | 0.489376 | -0.426230 | -1.584178 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 830 | -0.438422 | 0.446350 | -1.575434 | 0.346427 | 1.061787 | -0.660531 | -0.978775 | 0.379672 | -0.961486 | 1.153254 | -0.369061 | 0.122861 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | -0.678774 | 0.931603 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 831 | 2.280906 | -0.648668 | 0.177291 | 0.716610 | 0.085049 | 0.254625 | 0.300595 | 0.379672 | -0.961486 | 0.246200 | -0.827165 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -1.193036 | 1.707500 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 832 | -0.438422 | 0.008343 | -1.079614 | 1.950552 | -0.891688 | 0.254625 | -0.683535 | -1.026167 | -0.057788 | 1.153254 | -0.164019 | 1.724681 | -0.603911 | -0.426230 | 0.266233 | 1.415991 | -0.293077 | -0.620189 | 0.338096 | -0.164613 | -0.615492 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 833 | -0.438422 | -1.086676 | -1.496103 | -0.393938 | 0.085049 | 1.169781 | -0.535916 | -1.026167 | -0.961486 | 0.246200 | -0.842251 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -0.935905 | -2.171982 | 0.338096 | -0.491174 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 834 | -0.438422 | -0.320163 | 1.481299 | -0.023755 | -1.868426 | -0.660531 | 0.202182 | 0.379672 | -0.057788 | 0.246200 | -0.167631 | -0.678049 | 1.309341 | 2.346151 | -1.584178 | -0.932014 | -0.678774 | 0.155707 | -1.077862 | -0.164613 | 0.212802 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 835 | -0.438422 | -0.210661 | -0.680478 | -0.147150 | 1.061787 | 0.254625 | 1.678377 | 0.379672 | -0.961486 | 0.246200 | -0.463189 | -0.678049 | 0.489376 | -0.426230 | -0.658973 | -0.932014 | -0.678774 | -0.620189 | -2.493820 | -0.327893 | -0.063296 | -0.368715 | -0.034520 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 836 | 2.280906 | -0.867672 | -0.977970 | 1.703764 | -1.868426 | 1.169781 | -1.027981 | -1.026167 | 0.845911 | -1.567907 | 0.177009 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -0.035946 | 0.155707 | -2.493820 | 0.651788 | 1.041095 | 0.252146 | 1.647603 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 837 | -0.438422 | 0.336849 | -0.519337 | -0.023755 | 1.061787 | -0.660531 | 1.087899 | 0.379672 | 0.845911 | 0.246200 | 1.486515 | 2.525591 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | 1.121144 | 0.155707 | -1.077862 | 1.794749 | 0.764998 | -0.058285 | 2.488664 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 838 | 2.280906 | 0.555852 | -0.796996 | 0.346427 | 0.085049 | 0.254625 | -1.077188 | 0.379672 | 1.749610 | -1.567907 | 1.541547 | -1.078504 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | 1.378275 | -0.620189 | -1.077862 | 2.284590 | 1.317193 | 3.356449 | 2.769018 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 839 | -0.438422 | 0.555852 | -0.385465 | -0.640727 | 1.061787 | -0.660531 | -1.027981 | 0.379672 | -0.057788 | -1.567907 | -0.286407 | 1.724681 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | 0.155707 | 1.754054 | -0.164613 | -0.063296 | -0.368715 | 0.245834 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 840 | -0.438422 | -0.210661 | 0.445034 | -1.010909 | 1.061787 | 1.169781 | -0.388296 | -1.026167 | -0.961486 | 0.246200 | -0.901957 | 1.324226 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.161947 | -1.167687 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 841 | -0.438422 | -1.415181 | -0.806912 | 1.827158 | 0.085049 | 1.169781 | -0.831155 | 0.379672 | -0.961486 | -0.660853 | -0.617448 | 2.125136 | 1.855984 | 2.346151 | 1.191438 | -0.932014 | -0.678774 | -0.620189 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 842 | 2.280906 | -0.977174 | 1.692023 | 0.346427 | -1.868426 | 0.254625 | 0.645041 | 0.379672 | -0.961486 | 1.153254 | -0.847350 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -1.321601 | 0.931603 | -1.077862 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 843 | -0.438422 | -1.196177 | 1.441633 | -0.764121 | 1.061787 | -1.575686 | 0.792660 | 1.785511 | -0.961486 | 1.153254 | -0.442578 | -0.678049 | 1.855984 | 2.346151 | -0.658973 | 0.241988 | -0.421642 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 844 | -0.438422 | -0.758170 | 0.122751 | 0.099639 | 0.085049 | 0.254625 | 0.300595 | -1.026167 | -0.057788 | 0.246200 | 0.015950 | -0.678049 | 0.762698 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | -0.339394 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 845 | -0.438422 | 0.336849 | 0.246706 | 2.073946 | -0.891688 | 0.254625 | 1.284725 | -1.026167 | -0.057788 | 1.153254 | -0.442153 | 0.122861 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | 0.606882 | 0.155707 | -2.493820 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 846 | -0.438422 | -0.210661 | 0.040941 | -0.887515 | 0.085049 | 0.254625 | -1.077188 | -1.026167 | 0.845911 | -0.660853 | 0.801272 | -0.277594 | 0.762698 | -0.426230 | -0.658973 | 0.241988 | 0.478316 | -0.620189 | 1.754054 | -0.001333 | 0.764998 | 1.183437 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 847 | -0.438422 | -0.320163 | -0.330925 | -1.010909 | 0.085049 | 1.169781 | 1.530758 | -1.026167 | -0.057788 | -1.567907 | -0.246461 | -1.078504 | 1.309341 | 2.346151 | 0.266233 | -0.932014 | 0.349751 | 0.155707 | 0.338096 | 0.978348 | 1.317193 | 0.562576 | 1.367249 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 848 | -0.438422 | -0.210661 | -0.412735 | -0.640727 | 1.061787 | 1.169781 | -0.929568 | -1.026167 | -0.961486 | 1.153254 | -0.876885 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | -1.193036 | -0.620189 | 1.754054 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 849 | 2.280906 | 0.665354 | 1.411884 | -0.023755 | 0.085049 | -1.575686 | 0.940280 | -2.432006 | -0.057788 | 0.246200 | -0.245823 | 2.125136 | -0.603911 | -0.426230 | -0.658973 | -0.932014 | -0.550208 | -0.620189 | -1.077862 | -0.491174 | -0.339394 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 850 | -0.438422 | -0.539166 | 0.147542 | -0.887515 | -1.868426 | 0.254625 | 0.497421 | 0.379672 | -0.961486 | -1.567907 | -0.781057 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 2.589994 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 |
| 851 | -0.438422 | 2.088878 | -0.209449 | -0.640727 | 1.061787 | 1.169781 | 1.284725 | 0.379672 | 2.653309 | -1.567907 | 2.855728 | 0.523316 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | 2.149668 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | 0.562576 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 852 | -0.438422 | -0.867672 | 1.483778 | -0.393938 | -1.868426 | -0.660531 | -0.585122 | 0.379672 | -0.961486 | 1.153254 | -0.716463 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | 1.707500 | 0.338096 | 0.488508 | 1.041095 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 853 | -0.438422 | -1.962690 | -0.390423 | -0.023755 | -0.891688 | 0.254625 | -0.585122 | 0.379672 | -0.961486 | -1.567907 | -0.839489 | -0.678049 | 2.675949 | 2.346151 | 0.266233 | -0.932014 | -1.321601 | 0.931603 | 0.338096 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 854 | -0.438422 | 0.884358 | 1.622608 | -0.270544 | 0.085049 | -1.575686 | 0.841867 | 0.379672 | -0.961486 | 0.246200 | -0.430467 | 0.523316 | 1.036019 | -0.426230 | 0.266233 | 0.241988 | -0.550208 | -0.620189 | -1.077862 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 855 | -0.438422 | 0.008343 | 0.432639 | -1.010909 | 0.085049 | 1.169781 | -0.486709 | -1.026167 | -0.057788 | 1.153254 | -0.006147 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 0.349751 | -0.620189 | -1.077862 | 1.141629 | 1.041095 | 0.252146 | 1.927956 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 856 | -0.438422 | -1.853188 | 0.006233 | -0.764121 | 0.085049 | -1.575686 | 1.038693 | -1.026167 | -0.961486 | 0.246200 | -0.737286 | -0.678049 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -1.193036 | -0.620189 | -1.077862 | -0.817734 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 857 | 2.280906 | 0.774856 | 0.730131 | 0.099639 | 1.061787 | 0.254625 | 1.481551 | 0.379672 | -0.961486 | 0.246200 | -0.757897 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.931603 | 0.338096 | -0.164613 | -0.063296 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 858 | -0.438422 | 1.760373 | 1.042498 | -0.270544 | -0.891688 | 1.169781 | -0.781948 | 0.379672 | 2.653309 | 0.246200 | 2.571644 | 0.122861 | 0.762698 | -0.426230 | -0.658973 | 0.241988 | 1.892537 | 2.483396 | 0.338096 | -0.001333 | 0.764998 | 0.562576 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 859 | -0.438422 | -0.867672 | 0.345870 | 0.716610 | -1.868426 | -0.660531 | 0.152975 | -2.432006 | -0.961486 | 1.153254 | -0.921080 | -1.078504 | 0.762698 | -0.426230 | -1.584178 | 0.241988 | -0.678774 | -0.620189 | -1.077862 | -0.327893 | -0.063296 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 860 | 2.280906 | -1.634185 | 1.124308 | -0.764121 | 1.061787 | 0.254625 | -0.880361 | -1.026167 | -0.961486 | 1.153254 | -0.775532 | -1.078504 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | -1.321601 | 1.707500 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 861 | -0.438422 | 0.993860 | 1.486257 | -0.887515 | 0.085049 | 0.254625 | 0.152975 | 0.379672 | 1.749610 | -1.567907 | 2.240602 | 2.125136 | 2.129306 | 2.346151 | -1.584178 | -0.932014 | 2.149668 | -0.620189 | 0.338096 | 3.100991 | 2.973780 | 3.977310 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 862 | -0.438422 | 0.774856 | -1.714264 | 0.963398 | 0.085049 | 1.169781 | 0.399008 | -2.432006 | -0.961486 | 0.246200 | -0.895158 | -0.277594 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 863 | -0.438422 | -0.429664 | -1.625016 | -0.887515 | 0.085049 | -0.660531 | 1.629171 | 0.379672 | -0.961486 | 0.246200 | -0.616811 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.034520 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 864 | 2.280906 | 0.446350 | 0.256622 | -0.517332 | -0.891688 | -1.575686 | 1.432345 | -1.026167 | -0.961486 | -1.567907 | -0.934042 | 1.324226 | 0.489376 | -0.426230 | -1.584178 | 0.241988 | -0.807339 | -0.620189 | -2.493820 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 865 | -0.438422 | -0.758170 | 1.305283 | 2.444129 | 1.061787 | 0.254625 | -0.240677 | 0.379672 | -0.057788 | -1.567907 | -0.507384 | 2.125136 | 1.036019 | -0.426230 | 0.266233 | 2.589994 | -0.421642 | 0.155707 | 0.338096 | -0.491174 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 866 | -0.438422 | 0.336849 | 0.945813 | -0.887515 | 1.061787 | -0.660531 | -0.191470 | 0.379672 | -0.057788 | -0.660853 | -0.462339 | 0.923771 | -0.877232 | -0.426230 | 1.191438 | 2.589994 | -0.807339 | -0.620189 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 867 | -0.438422 | 1.431867 | 1.533360 | -0.887515 | 0.085049 | 1.169781 | -1.766079 | 0.379672 | 1.749610 | -1.567907 | 2.412285 | -0.277594 | 1.855984 | 2.346151 | 0.266233 | 0.241988 | 2.663930 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 868 | -0.438422 | -0.977174 | 0.933417 | 1.210187 | 1.061787 | 1.169781 | 0.595834 | -1.026167 | -0.961486 | -1.567907 | -0.702652 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 2.589994 | -0.678774 | -0.620189 | 0.338096 | -0.164613 | 0.212802 | 0.252146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 869 | -0.438422 | 0.993860 | 1.605254 | 0.716610 | -0.891688 | 1.169781 | -0.683535 | 0.379672 | 2.653309 | -0.660853 | 2.672571 | 0.923771 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | 1.763972 | -0.620189 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 870 | -0.438422 | -0.210661 | 1.384614 | 0.963398 | 1.061787 | 0.254625 | 1.383138 | 0.379672 | -0.057788 | -1.567907 | 0.523350 | 0.122861 | -0.057267 | -0.426230 | 1.191438 | 2.589994 | 0.478316 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 871 | 2.280906 | -1.415181 | 0.449992 | 0.963398 | -0.891688 | 1.169781 | 1.530758 | 0.379672 | -0.961486 | -0.660853 | -0.912156 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -1.321601 | 0.155707 | -2.493820 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 872 | -0.438422 | -0.429664 | 0.851607 | 1.950552 | 0.085049 | -0.660531 | 0.792660 | 0.379672 | -0.057788 | 0.246200 | -0.417293 | -0.678049 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | 0.155707 | -1.077862 | 0.488508 | 0.764998 | -0.679146 | -0.875581 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 873 | -0.438422 | -0.101159 | 0.283893 | -0.393938 | 1.061787 | 0.254625 | -0.289883 | -2.432006 | -0.961486 | 0.246200 | -0.799330 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | -0.550208 | 0.931603 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 874 | -0.438422 | -0.758170 | 0.125230 | -0.270544 | 1.061787 | 0.254625 | -0.831155 | 0.379672 | -0.057788 | 0.246200 | -0.639971 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | 2.589994 | -0.164511 | 0.931603 | -1.077862 | 0.488508 | 0.764998 | 1.804297 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 875 | -0.438422 | 0.774856 | -1.493624 | 2.444129 | 1.061787 | 1.169781 | -1.667666 | 0.379672 | -0.057788 | 1.153254 | -0.416869 | -0.678049 | 2.675949 | 2.346151 | -0.658973 | -0.932014 | 1.121144 | 0.155707 | 0.338096 | 2.121310 | 1.869389 | 3.356449 | 3.610079 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 876 | -0.438422 | -1.853188 | -0.368111 | 1.456975 | 0.085049 | 0.254625 | -1.126394 | 1.785511 | -0.961486 | 1.153254 | -0.812716 | -0.678049 | 0.489376 | -0.426230 | 1.191438 | -0.932014 | -1.193036 | -0.620189 | 0.338096 | -0.817734 | -0.891589 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 877 | -0.438422 | 0.993860 | -1.617579 | -0.887515 | 1.061787 | 1.169781 | -0.289883 | 0.379672 | -0.057788 | 1.153254 | 0.186146 | -0.277594 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 0.092620 | 0.155707 | -1.077862 | -0.164613 | -0.339394 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 878 | -0.438422 | 0.555852 | -1.545685 | -0.887515 | 2.038524 | 1.169781 | 0.645041 | 1.785511 | -0.057788 | -1.567907 | -0.049068 | 1.724681 | 0.216054 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | 0.155707 | 1.754054 | -0.491174 | -0.339394 | -0.679146 | -0.314873 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 879 | -0.438422 | 2.526886 | -0.263989 | -0.270544 | 1.061787 | -0.660531 | -0.683535 | 1.785511 | -0.057788 | 1.153254 | -0.272596 | -1.078504 | 0.762698 | -0.426230 | -0.658973 | 0.241988 | 0.092620 | 0.155707 | 0.338096 | 0.651788 | 0.764998 | -0.368715 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 880 | -0.438422 | -0.539166 | -1.701868 | 0.469821 | 0.085049 | 0.254625 | 0.546627 | -1.026167 | -0.961486 | -0.660853 | -0.798905 | -0.678049 | 1.309341 | 2.346151 | 0.266233 | 0.241988 | -1.193036 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 881 | -0.438422 | -0.539166 | 1.273054 | -0.887515 | -0.891688 | 1.169781 | -1.372427 | 0.379672 | -0.057788 | 0.246200 | -0.319766 | 0.523316 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 882 | -0.438422 | -0.101159 | -1.089530 | -1.010909 | 0.085049 | 0.254625 | 0.546627 | -2.432006 | 0.845911 | -1.567907 | 0.796597 | -0.277594 | 1.582663 | 2.346151 | 0.266233 | 0.241988 | 0.735447 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 883 | -0.438422 | -0.429664 | -1.699389 | -0.023755 | 0.085049 | -1.575686 | -0.289883 | 0.379672 | -0.961486 | 1.153254 | -0.790831 | -1.078504 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 0.478316 | 1.707500 | 0.338096 | 1.141629 | 1.593291 | 0.562576 | 1.647603 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 884 | -0.438422 | 0.336849 | -1.724180 | 0.099639 | 0.085049 | -0.660531 | 0.891073 | -1.026167 | -0.057788 | -0.660853 | 0.074170 | 1.724681 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -0.550208 | -0.620189 | 1.754054 | -0.327893 | -0.891589 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 885 | -0.438422 | -1.305679 | 1.372219 | 0.099639 | 1.061787 | 0.254625 | -0.437503 | 0.379672 | -0.057788 | 1.153254 | -0.329965 | -1.078504 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.807339 | 0.931603 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 886 | -0.438422 | -0.758170 | 1.642441 | -1.010909 | 0.085049 | 1.169781 | -0.142264 | 0.379672 | -0.961486 | -0.660853 | -0.621273 | -1.078504 | 1.582663 | 2.346151 | -1.584178 | 0.241988 | 0.092620 | -0.620189 | 0.338096 | 0.651788 | 1.317193 | 0.873006 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 887 | -0.438422 | 0.555852 | -0.854015 | 2.073946 | 2.038524 | -1.575686 | -0.289883 | 0.379672 | 0.845911 | -1.567907 | 1.421072 | 0.122861 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | 1.121144 | 2.483396 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 888 | -0.438422 | -0.210661 | 1.015228 | -0.147150 | -0.891688 | 0.254625 | 0.595834 | -1.026167 | 0.845911 | 1.153254 | 0.823157 | 0.523316 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | 0.606882 | 2.483396 | -1.077862 | 0.978348 | -0.615492 | 0.562576 | 2.208310 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 889 | -0.438422 | -1.086676 | 0.745006 | 0.593216 | 0.085049 | -1.575686 | -1.175601 | 0.379672 | -0.961486 | -1.567907 | -0.906844 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | 1.415991 | -0.293077 | 0.155707 | -1.077862 | 0.325228 | 0.764998 | 1.183437 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 890 | -0.438422 | 1.869874 | 0.405369 | -1.010909 | 1.061787 | 1.169781 | -0.634329 | 0.379672 | 0.845911 | 0.246200 | 0.849717 | 1.724681 | 0.489376 | -0.426230 | -1.584178 | 0.241988 | 2.792496 | -0.620189 | -2.493820 | -0.327893 | -0.063296 | -0.368715 | -0.034520 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 891 | -0.438422 | 0.774856 | 0.779713 | -0.887515 | -1.868426 | -1.575686 | 0.300595 | 1.785511 | -0.961486 | 1.153254 | -0.954440 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | 1.707500 | 0.338096 | 0.488508 | 0.212802 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 892 | 2.280906 | -1.962690 | -0.739977 | 0.099639 | 0.085049 | -1.575686 | 1.481551 | -1.026167 | -0.961486 | -0.660853 | -0.986736 | -0.678049 | 2.675949 | 2.346151 | -0.658973 | -0.932014 | -1.321601 | -0.620189 | 1.754054 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 893 | -0.438422 | -0.867672 | 0.514449 | -1.010909 | 0.085049 | -1.575686 | 1.530758 | 0.379672 | -0.961486 | 1.153254 | -0.582814 | -0.678049 | -0.057267 | -0.426230 | -1.584178 | 2.589994 | -1.064470 | 1.707500 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 894 | -0.438422 | 1.869874 | -0.291259 | -0.764121 | 0.085049 | 1.169781 | 0.940280 | 0.379672 | 1.749610 | 1.153254 | 2.395924 | 0.122861 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | 3.178192 | -0.620189 | 0.338096 | 0.488508 | 1.317193 | -0.679146 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 895 | -0.438422 | -0.648668 | 1.312720 | 0.223033 | -0.891688 | 0.254625 | 0.694247 | 0.379672 | -0.057788 | -1.567907 | 0.070133 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | -0.620189 | -1.077862 | -0.164613 | 0.212802 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 896 | -0.438422 | -0.648668 | 0.643362 | 1.827158 | 0.085049 | 0.254625 | 1.481551 | -1.026167 | -0.057788 | -1.567907 | 0.065671 | -0.678049 | 1.036019 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 1.317193 | -0.368715 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 897 | -0.438422 | 2.417384 | -1.181257 | -0.764121 | 0.085049 | 0.254625 | -0.880361 | -1.026167 | -0.057788 | 1.153254 | -0.283007 | 0.923771 | 0.489376 | -0.426230 | 1.191438 | -0.932014 | 0.221185 | -0.620189 | 0.338096 | -0.164613 | -0.891589 | -0.679146 | 0.245834 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 898 | -0.438422 | 0.665354 | 0.291330 | -0.764121 | 0.085049 | 0.254625 | 1.481551 | -2.432006 | 2.653309 | 1.153254 | 2.812595 | 0.122861 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | 1.763972 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 899 | -0.438422 | 1.322365 | 0.732610 | -0.640727 | -0.891688 | -1.575686 | 0.940280 | -1.026167 | 2.653309 | 0.246200 | 2.593954 | -0.277594 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | 1.506840 | -0.620189 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 900 | -0.438422 | -0.101159 | -0.826745 | -0.764121 | 0.085049 | 0.254625 | -0.978775 | 0.379672 | -0.961486 | -0.660853 | -0.597263 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | 0.092620 | -0.620189 | -1.077862 | 0.651788 | 1.593291 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 901 | -0.438422 | 1.212863 | 0.412806 | -0.887515 | -0.891688 | 1.169781 | 0.497421 | 1.785511 | -0.961486 | -0.660853 | -0.838001 | 0.923771 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.550208 | 0.931603 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 902 | -0.438422 | -1.086676 | 0.903668 | -0.640727 | -0.891688 | -1.575686 | 0.497421 | 0.379672 | -0.961486 | 0.246200 | -0.846925 | -0.678049 | -1.150554 | -0.426230 | -0.658973 | 2.589994 | -0.807339 | -0.620189 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 903 | -0.438422 | -0.867672 | 1.305283 | -0.270544 | 0.085049 | 0.254625 | 0.792660 | 0.379672 | -0.057788 | 1.153254 | 0.025512 | -0.678049 | -1.150554 | -0.426230 | -0.658973 | 1.415991 | -0.678774 | -0.620189 | 0.338096 | -0.164613 | -1.167687 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 904 | -0.438422 | 1.212863 | -0.216886 | -1.010909 | 0.085049 | 1.169781 | 0.497421 | -1.026167 | 2.653309 | 1.153254 | 2.499189 | 1.324226 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | 1.763972 | 0.155707 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 905 | -0.438422 | -0.867672 | -0.268947 | -1.010909 | 0.085049 | 1.169781 | 1.038693 | -1.026167 | 1.749610 | 1.153254 | 2.044272 | 0.122861 | -0.330589 | -0.426230 | -0.658973 | 1.415991 | -0.293077 | -0.620189 | -1.077862 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 906 | -0.438422 | -0.320163 | 1.282971 | 1.333581 | 0.085049 | 0.254625 | 1.137106 | 1.785511 | -0.961486 | 0.246200 | -0.832477 | -1.078504 | 0.489376 | -0.426230 | 1.191438 | -0.932014 | -1.193036 | 1.707500 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 907 | -0.438422 | 0.774856 | 0.735089 | -0.517332 | 0.085049 | -0.660531 | 1.087899 | 0.379672 | 2.653309 | -0.660853 | 2.488140 | 1.724681 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 1.892537 | 1.707500 | 0.338096 | 2.447870 | 1.317193 | 0.252146 | 1.647603 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 908 | -0.438422 | -0.429664 | -0.660645 | 0.099639 | 2.038524 | 1.169781 | 0.792660 | 1.785511 | 0.845911 | 0.246200 | 0.398837 | -1.078504 | -0.330589 | -0.426230 | 1.191438 | 1.415991 | -0.164511 | 0.155707 | 0.338096 | 0.325228 | 1.041095 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 909 | -0.438422 | -1.962690 | -1.332482 | 1.950552 | 0.085049 | -0.660531 | -0.437503 | 1.785511 | -0.961486 | 1.153254 | -0.745573 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 910 | -0.438422 | -1.524683 | -1.064739 | -1.010909 | -0.891688 | 1.169781 | -0.929568 | 0.379672 | -0.961486 | 0.246200 | -1.121873 | -0.678049 | 1.855984 | 2.346151 | 1.191438 | 0.241988 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 911 | 2.280906 | -1.305679 | -0.504462 | 1.827158 | -1.868426 | 0.254625 | 0.349801 | -2.432006 | -0.961486 | 1.153254 | -1.144183 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -1.321601 | 0.931603 | 0.338096 | -0.981014 | -1.167687 | -0.368715 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 912 | -0.438422 | -1.196177 | -0.544128 | -0.640727 | -0.891688 | 0.254625 | -0.634329 | 0.379672 | -0.961486 | 1.153254 | -0.770858 | -0.678049 | 1.309341 | 2.346151 | -0.658973 | -0.932014 | -0.421642 | -0.620189 | -1.077862 | 0.161947 | 0.212802 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 913 | 2.280906 | 0.884358 | 1.602775 | -0.887515 | 0.085049 | -1.575686 | 1.383138 | -2.432006 | 2.653309 | -0.660853 | 2.617964 | -0.277594 | 0.216054 | -0.426230 | -1.584178 | -0.932014 | 1.892537 | -0.620189 | 0.338096 | 2.774431 | 1.593291 | -0.368715 | 1.927956 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 914 | -0.438422 | 1.979376 | -1.550643 | -0.147150 | -1.868426 | 1.169781 | -1.421633 | -1.026167 | 1.749610 | -0.660853 | 1.503089 | -0.678049 | -0.057267 | -0.426230 | 1.191438 | 0.241988 | 2.921061 | 0.155707 | 0.338096 | 4.243953 | 1.317193 | 3.977310 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 915 | 2.280906 | -1.743687 | -1.367189 | 0.099639 | -0.891688 | -1.575686 | -1.027981 | -1.026167 | -0.961486 | 0.246200 | -0.823978 | -0.678049 | 1.309341 | 2.346151 | 0.266233 | -0.932014 | -1.193036 | -0.620189 | -2.493820 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 916 | -0.438422 | 0.993860 | -1.572955 | -0.640727 | -0.891688 | 1.169781 | -1.618459 | -1.026167 | 2.653309 | -0.660853 | 2.610527 | -0.277594 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 1.892537 | -0.620189 | 0.338096 | 0.651788 | -0.063296 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 917 | -0.438422 | -0.320163 | -1.664682 | -0.887515 | 0.085049 | 0.254625 | 0.989486 | 0.379672 | -0.057788 | -1.567907 | -0.417506 | -1.078504 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.935905 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 918 | -0.438422 | 1.541369 | -1.401897 | -0.023755 | 0.085049 | 1.169781 | 0.841867 | 0.379672 | 2.653309 | -0.660853 | 2.835330 | 0.523316 | 2.402628 | 2.346151 | -1.584178 | 0.241988 | 2.535365 | 1.707500 | -1.077862 | 3.590832 | 1.593291 | 2.735589 | 1.647603 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 919 | -0.438422 | 2.417384 | 1.553193 | 1.086793 | 1.061787 | 1.169781 | 0.054562 | 0.379672 | 0.845911 | 1.153254 | 0.851842 | 1.324226 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 1.763972 | 2.483396 | -1.077862 | 0.325228 | 0.764998 | 0.873006 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 920 | -0.438422 | -0.320163 | -1.654765 | 1.210187 | 0.085049 | 0.254625 | -0.978775 | 0.379672 | -0.057788 | -0.660853 | -0.437479 | 0.523316 | -0.603911 | -0.426230 | 0.266233 | 1.415991 | 0.478316 | -0.620189 | 1.754054 | 0.651788 | 1.041095 | 0.873006 | 1.647603 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 921 | -0.438422 | -0.977174 | -0.028474 | -1.010909 | 1.061787 | 1.169781 | -1.077188 | 0.379672 | -0.961486 | 0.246200 | -0.924055 | -1.078504 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.807339 | -0.620189 | -1.077862 | -0.491174 | -0.615492 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 922 | -0.438422 | 0.774856 | 0.982999 | -0.640727 | -0.891688 | 0.254625 | 1.284725 | 1.785511 | 2.653309 | -1.567907 | 2.695731 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | 1.415991 | 1.892537 | 0.931603 | -1.077862 | 2.937711 | 1.317193 | 3.666880 | 2.488664 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 923 | -0.438422 | -0.320163 | -0.382986 | 0.223033 | 0.085049 | 0.254625 | -0.486709 | -1.026167 | -0.057788 | -0.660853 | -0.427705 | 0.523316 | -1.150554 | -0.426230 | 1.191438 | 1.415991 | 0.349751 | 1.707500 | 1.754054 | 0.488508 | 1.317193 | -0.368715 | 1.086895 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 924 | -0.438422 | -0.210661 | -0.167304 | -0.393938 | -1.868426 | 0.254625 | 0.005356 | 0.379672 | -0.961486 | 0.246200 | -0.636784 | -1.078504 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.935905 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 925 | -0.438422 | 0.555852 | -0.494545 | -0.270544 | 1.061787 | -0.660531 | 0.595834 | 1.785511 | -0.057788 | -0.660853 | -0.877735 | 1.324226 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | 0.864013 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 926 | -0.438422 | 0.665354 | -0.673041 | -0.640727 | 1.061787 | 1.169781 | -0.486709 | -1.026167 | 0.845911 | 1.153254 | 0.792135 | 0.122861 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | 1.506840 | 0.155707 | 1.754054 | 2.284590 | 0.764998 | 3.977310 | 3.610079 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 927 | -0.438422 | -0.101159 | -0.925909 | -0.887515 | 1.061787 | 0.254625 | -0.634329 | 0.379672 | -0.057788 | -0.660853 | -0.232225 | 2.525591 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 0.864013 | -0.620189 | 0.338096 | 1.468189 | 2.697683 | 0.873006 | 2.208310 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 928 | 2.280906 | 0.774856 | -0.449922 | 0.716610 | 0.085049 | -1.575686 | 0.349801 | 0.379672 | 0.845911 | 1.153254 | 0.313421 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 0.764998 | -0.679146 | 0.245834 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 929 | -0.438422 | -0.977174 | -1.510977 | -0.887515 | 0.085049 | 1.169781 | -0.683535 | -1.026167 | -0.961486 | 1.153254 | -0.560079 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -1.193036 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 930 | -0.438422 | 1.541369 | 0.410327 | -0.393938 | -0.891688 | -0.660531 | -1.274014 | -1.026167 | -0.961486 | 0.246200 | -0.778720 | -1.078504 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.421642 | 2.483396 | -1.077862 | -0.001333 | -1.167687 | 1.493867 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 931 | -0.438422 | -0.758170 | 0.189687 | -0.023755 | -0.891688 | 0.254625 | 0.300595 | 0.379672 | -0.057788 | 0.246200 | -0.384147 | 1.724681 | 0.762698 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | 0.161947 | -0.063296 | -0.368715 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 932 | 2.280906 | -0.867672 | 0.008712 | -0.270544 | 0.085049 | -0.660531 | -1.323220 | 0.379672 | -0.961486 | 0.246200 | -0.672268 | 0.122861 | -0.603911 | -0.426230 | -1.584178 | 1.415991 | -0.164511 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 933 | -0.438422 | -0.977174 | -0.402819 | -1.010909 | 0.085049 | 1.169781 | 0.891073 | 0.379672 | -0.961486 | -1.567907 | -0.939778 | -0.277594 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | -0.807339 | -0.620189 | -1.077862 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 934 | -0.438422 | -1.305679 | -1.330003 | -1.010909 | 0.085049 | 1.169781 | -1.274014 | 0.379672 | -0.961486 | -0.660853 | -0.936379 | -0.678049 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | -1.193036 | 0.155707 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 935 | -0.438422 | -0.539166 | -0.492066 | -0.147150 | 0.085049 | 0.254625 | -0.486709 | 1.785511 | -0.057788 | 1.153254 | -0.062454 | -0.678049 | -0.057267 | -0.426230 | 0.266233 | 1.415991 | -0.164511 | 0.931603 | 1.754054 | 0.488508 | 0.764998 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 936 | -0.438422 | 0.884358 | -1.087051 | 1.950552 | 0.085049 | -0.660531 | 0.841867 | 0.379672 | 2.653309 | -0.660853 | 2.455843 | 0.122861 | 1.855984 | 2.346151 | 0.266233 | -0.932014 | 1.378275 | 0.931603 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 937 | -0.438422 | 0.227347 | -0.968054 | 0.469821 | 1.061787 | 0.254625 | 1.383138 | -1.026167 | 1.749610 | -0.660853 | 2.256538 | 1.324226 | -0.603911 | -0.426230 | 1.191438 | 1.415991 | 1.249709 | 0.931603 | 0.338096 | 1.958030 | 1.317193 | 3.977310 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 938 | -0.438422 | 2.307882 | 0.112835 | 1.703764 | 1.061787 | -1.575686 | 1.087899 | 0.379672 | -0.961486 | 0.246200 | -0.877735 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 1.415991 | -1.193036 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 939 | 2.280906 | -0.539166 | 0.710298 | -0.270544 | -0.891688 | 1.169781 | 0.645041 | 0.379672 | -0.057788 | 0.246200 | -0.344201 | -0.678049 | 0.762698 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | -0.063296 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 940 | 2.280906 | 0.227347 | -1.096967 | 1.703764 | 0.085049 | 0.254625 | 1.333932 | 0.379672 | -0.961486 | -1.567907 | -0.552217 | -1.078504 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | -0.678774 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 941 | -0.438422 | -0.758170 | 0.831774 | -0.393938 | 0.085049 | -1.575686 | -0.880361 | -1.026167 | -0.057788 | 1.153254 | -0.398595 | -1.078504 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | 2.483396 | 0.338096 | 0.325228 | -0.615492 | 1.183437 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 942 | -0.438422 | -0.101159 | -1.183736 | 0.099639 | 1.061787 | 1.169781 | -0.142264 | 0.379672 | 0.845911 | 0.246200 | 0.125589 | 0.122861 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -0.164511 | -2.171982 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 943 | -0.438422 | 0.993860 | 0.467346 | -1.010909 | -0.891688 | 1.169781 | -1.077188 | 0.379672 | -0.961486 | -1.567907 | -0.654420 | 1.324226 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | 0.155707 | 1.754054 | -0.001333 | 0.488900 | 0.873006 | 0.806541 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 944 | -0.438422 | -0.977174 | 1.669711 | -1.010909 | 0.085049 | 0.254625 | -0.535916 | -2.432006 | -0.057788 | 1.153254 | 0.036348 | -1.078504 | -1.150554 | -0.426230 | -1.584178 | 2.589994 | -0.164511 | 2.483396 | 0.338096 | 0.325228 | 1.041095 | 1.493867 | 0.245834 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 945 | -0.438422 | 1.431867 | 1.287929 | 2.320735 | 0.085049 | 1.169781 | -1.126394 | 0.379672 | 1.749610 | -1.567907 | 2.204906 | 0.523316 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | 1.763972 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 946 | 2.280906 | 0.336849 | -1.248193 | 1.950552 | 1.061787 | 1.169781 | -0.437503 | -1.026167 | 0.845911 | -0.660853 | 0.550547 | -0.277594 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -0.293077 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 947 | 2.280906 | 1.650871 | 0.564031 | -0.517332 | 0.085049 | -0.660531 | -0.093057 | 0.379672 | 0.845911 | -0.660853 | 0.412861 | 2.525591 | 1.036019 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | -1.077862 | 0.161947 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 948 | -0.438422 | -0.758170 | -0.417693 | 0.963398 | 1.061787 | -0.660531 | 1.432345 | 0.379672 | 0.845911 | -1.567907 | 1.150162 | -0.678049 | 2.129306 | 2.346151 | 1.191438 | 1.415991 | -0.293077 | -0.620189 | 0.338096 | 0.325228 | -0.891589 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 949 | -0.438422 | 0.227347 | -0.690395 | 1.086793 | -0.891688 | -1.575686 | -1.667666 | 0.379672 | -0.057788 | 0.246200 | -0.418356 | -1.078504 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | -0.293077 | 2.483396 | 0.338096 | 0.161947 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 950 | -0.438422 | -0.648668 | -0.534211 | -0.887515 | 1.061787 | 1.169781 | -0.437503 | 0.379672 | 0.845911 | 0.246200 | 0.711606 | -0.678049 | 1.036019 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | 1.707500 | -1.077862 | 0.488508 | 1.041095 | 2.114728 | 0.526188 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 951 | -0.438422 | 0.446350 | -1.354794 | 0.099639 | -0.891688 | 0.254625 | -1.274014 | -2.432006 | -0.057788 | -0.660853 | -0.074778 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | 0.992578 | 0.931603 | 0.338096 | 1.958030 | -0.615492 | 2.735589 | 1.367249 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 952 | 2.280906 | -0.648668 | 0.638404 | -1.010909 | 0.085049 | 1.169781 | -0.585122 | 0.379672 | -0.961486 | -0.660853 | -0.892608 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | -1.064470 | -0.620189 | 1.754054 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 953 | 2.280906 | 0.774856 | 0.328516 | -0.764121 | 0.085049 | -1.575686 | 1.137106 | 0.379672 | -0.961486 | -1.567907 | -0.879859 | 0.523316 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | 0.931603 | 1.754054 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 954 | -0.438422 | 0.555852 | -0.762289 | -0.887515 | -1.868426 | 0.254625 | -1.421633 | 0.379672 | 1.749610 | 0.246200 | 2.413347 | -1.078504 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | 1.249709 | 0.155707 | -1.077862 | 2.121310 | 1.041095 | -0.058285 | 1.647603 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 955 | -0.438422 | 1.979376 | -1.290337 | -0.887515 | -0.891688 | 1.169781 | -0.388296 | -2.432006 | 2.653309 | 0.246200 | 2.695094 | 0.523316 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | 1.506840 | 1.707500 | 0.338096 | 1.958030 | 1.317193 | 2.114728 | 1.927956 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 956 | -0.438422 | 2.088878 | -1.478749 | -0.147150 | 1.061787 | 1.169781 | 1.629171 | 0.379672 | 2.653309 | -0.660853 | 2.807708 | 1.324226 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | 3.178192 | 0.931603 | 0.338096 | -0.001333 | -0.339394 | 1.493867 | 0.806541 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 957 | -0.438422 | 0.336849 | -0.854015 | 0.840004 | -0.891688 | 0.254625 | 0.399008 | 0.379672 | -0.961486 | 0.246200 | -0.628710 | 2.525591 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | -0.678774 | -2.171982 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 958 | -0.438422 | -0.320163 | 0.348349 | -0.023755 | 0.085049 | 1.169781 | 0.989486 | 0.379672 | 0.845911 | 1.153254 | 0.424334 | -1.078504 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | -2.171982 | -1.077862 | 0.325228 | 0.764998 | -0.368715 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 959 | -0.438422 | 0.336849 | -0.692874 | -0.887515 | 0.085049 | 0.254625 | 1.579964 | 0.379672 | -0.057788 | 1.153254 | -0.391371 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.293077 | 0.931603 | 0.338096 | 0.325228 | 1.041095 | 1.804297 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 960 | -0.438422 | 0.446350 | 0.534282 | -1.010909 | 0.085049 | 0.254625 | 0.005356 | 0.379672 | -0.057788 | -1.567907 | -0.509934 | -1.078504 | 0.489376 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.325228 | -0.339394 | -0.368715 | 0.806541 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 961 | -0.438422 | -0.210661 | -0.794517 | -0.640727 | 1.061787 | 0.254625 | 1.038693 | 0.379672 | -0.057788 | 0.246200 | -0.478912 | -0.678049 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | -0.293077 | 0.155707 | 0.338096 | 0.325228 | 0.488900 | -0.368715 | -0.875581 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 962 | -0.438422 | 1.541369 | -0.080535 | -0.517332 | 0.085049 | 0.254625 | 0.891073 | 0.379672 | 1.749610 | -0.660853 | 1.598491 | -0.678049 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | 2.792496 | -0.620189 | 0.338096 | 4.243953 | 1.317193 | -0.679146 | 1.647603 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 963 | -0.438422 | 0.117845 | 0.511970 | -0.887515 | -0.891688 | -0.660531 | -1.716872 | 0.379672 | -0.057788 | -1.567907 | 0.082881 | 0.122861 | -0.057267 | -0.426230 | 1.191438 | 0.241988 | -0.035946 | 0.155707 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 964 | -0.438422 | -0.320163 | -0.732539 | 0.716610 | -0.891688 | 0.254625 | 0.005356 | 0.379672 | -0.057788 | -1.567907 | -0.080302 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 2.483396 | 1.754054 | 0.488508 | 1.041095 | 2.114728 | 0.526188 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 965 | -0.438422 | -1.305679 | 0.197124 | 1.210187 | -1.868426 | 1.169781 | 0.054562 | 0.379672 | -0.961486 | 1.153254 | -0.602150 | 0.122861 | -1.150554 | -0.426230 | 0.266233 | 2.589994 | -0.550208 | 2.483396 | -1.077862 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 966 | 2.280906 | 2.307882 | -0.499504 | -0.270544 | 1.061787 | 0.254625 | -0.634329 | -1.026167 | 0.845911 | -1.567907 | 0.744752 | 1.724681 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | 2.535365 | -2.171982 | -1.077862 | 0.488508 | 1.317193 | 0.873006 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 967 | -0.438422 | 0.336849 | -1.173819 | -1.010909 | 1.061787 | -0.660531 | 1.087899 | 0.379672 | -0.961486 | -0.660853 | -0.874548 | 0.122861 | 1.855984 | 2.346151 | 0.266233 | 0.241988 | -0.550208 | 0.155707 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 968 | -0.438422 | -0.101159 | -0.484629 | -0.270544 | 0.085049 | -1.575686 | 0.841867 | 1.785511 | -0.057788 | -1.567907 | -0.396046 | -0.277594 | 0.216054 | -0.426230 | 1.191438 | 0.241988 | 0.735447 | -0.620189 | -1.077862 | 1.304909 | 0.764998 | 1.183437 | 2.488664 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 969 | -0.438422 | 1.212863 | 0.130188 | -0.640727 | 0.085049 | 1.169781 | -0.585122 | 0.379672 | 0.845911 | 1.153254 | 0.296422 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.035946 | -0.620189 | 0.338096 | 0.488508 | 1.317193 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 970 | -0.438422 | -1.086676 | 1.211077 | 0.223033 | 0.085049 | 0.254625 | 1.579964 | 1.785511 | -0.961486 | 1.153254 | -0.843313 | 2.125136 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | -0.807339 | 0.931603 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 971 | -0.438422 | 1.541369 | 1.493695 | 0.223033 | -0.891688 | 1.169781 | 0.792660 | -1.026167 | 1.749610 | -0.660853 | 1.410660 | 0.122861 | 0.216054 | -0.426230 | -0.658973 | -0.932014 | 2.278234 | -1.396086 | -1.077862 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 972 | -0.438422 | -2.072192 | 0.797067 | -1.010909 | 0.085049 | 1.169781 | 1.530758 | 0.379672 | -0.961486 | 1.153254 | -1.039431 | -0.678049 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | -1.450167 | 1.707500 | 1.754054 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 973 | -0.438422 | -0.210661 | 0.035982 | -1.010909 | 0.085049 | 1.169781 | -0.289883 | -1.026167 | -0.057788 | 1.153254 | -0.242211 | -1.078504 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -0.164511 | -2.171982 | 0.338096 | 0.325228 | 0.764998 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 974 | -0.438422 | -1.086676 | -0.023516 | -0.887515 | -1.868426 | 1.169781 | -1.126394 | -2.432006 | -0.057788 | 1.153254 | -0.304255 | 0.122861 | 1.309341 | 2.346151 | -0.658973 | -0.932014 | -0.421642 | 0.155707 | 0.338096 | -0.164613 | -0.615492 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 975 | 2.280906 | 1.979376 | -1.327524 | 0.469821 | 1.061787 | -1.575686 | 0.940280 | 1.785511 | 1.749610 | 0.246200 | 1.528161 | 1.324226 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | 1.635406 | -0.620189 | -1.077862 | 1.958030 | 0.764998 | 0.252146 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 976 | -0.438422 | 2.088878 | 1.404447 | 1.703764 | 0.085049 | 1.169781 | 0.103769 | 0.379672 | 1.749610 | -0.660853 | 1.465905 | 0.523316 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | 2.792496 | -2.171982 | 0.338096 | 1.958030 | 3.249878 | 3.977310 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 977 | -0.438422 | -0.320163 | 0.487179 | 2.073946 | -1.868426 | -1.575686 | 1.284725 | -1.026167 | -0.961486 | 0.246200 | -0.950615 | -0.678049 | 1.309341 | 2.346151 | 0.266233 | 2.589994 | -0.807339 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 978 | -0.438422 | 0.336849 | 0.990437 | -0.887515 | -1.868426 | -0.660531 | 1.137106 | 1.785511 | -0.057788 | 0.246200 | -0.026758 | 0.923771 | 1.309341 | 2.346151 | -0.658973 | 2.589994 | 0.478316 | -2.171982 | 0.338096 | 0.815068 | 1.869389 | 2.735589 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 979 | -0.438422 | -0.320163 | -1.282900 | 2.444129 | 0.085049 | -0.660531 | 0.989486 | 0.379672 | -0.057788 | 0.246200 | -0.228187 | 0.523316 | -0.603911 | -0.426230 | -1.584178 | 1.415991 | -0.164511 | -1.396086 | 0.338096 | 0.161947 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 980 | 2.280906 | -0.648668 | -0.246635 | -0.887515 | 0.085049 | 0.254625 | 1.186312 | -1.026167 | -0.961486 | 1.153254 | -0.789981 | 1.724681 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | -1.064470 | 0.155707 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 981 | 2.280906 | -0.210661 | -0.348278 | 1.086793 | 1.061787 | 1.169781 | 0.054562 | 0.379672 | -0.057788 | 0.246200 | -0.401358 | -1.078504 | 0.762698 | -0.426230 | 0.266233 | 0.241988 | -0.807339 | -2.171982 | -1.077862 | -0.491174 | -0.615492 | 0.252146 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 982 | -0.438422 | 0.117845 | -0.271426 | -0.270544 | 0.085049 | 1.169781 | -0.437503 | 1.785511 | -0.961486 | 0.246200 | -0.827165 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | 2.589994 | -0.935905 | -0.620189 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 983 | -0.438422 | -0.320163 | -0.987887 | -0.887515 | 1.061787 | 0.254625 | 1.579964 | 0.379672 | -0.057788 | 1.153254 | 0.039111 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 0.349751 | -0.620189 | 1.754054 | 1.141629 | 1.869389 | 0.562576 | 1.927956 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 984 | -0.438422 | -0.977174 | -0.164825 | 2.073946 | 0.085049 | 0.254625 | -0.880361 | -1.026167 | -0.057788 | -1.567907 | -0.377985 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.807339 | -2.171982 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 985 | 2.280906 | -0.648668 | -1.171340 | 1.580370 | 1.061787 | 1.169781 | 1.579964 | 0.379672 | -0.057788 | 0.246200 | -0.068828 | -0.678049 | -0.057267 | -0.426230 | 1.191438 | 1.415991 | -0.164511 | 0.155707 | -1.077862 | 0.488508 | -0.615492 | 1.183437 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 986 | -0.438422 | 0.227347 | 1.724251 | 1.456975 | 1.061787 | -1.575686 | -1.077188 | -1.026167 | -0.057788 | 1.153254 | -0.081365 | 0.122861 | -0.877232 | -0.426230 | 1.191438 | 1.415991 | -0.421642 | -0.620189 | 1.754054 | -0.327893 | -0.063296 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 987 | -0.438422 | 1.541369 | -0.648250 | -0.887515 | 0.085049 | -0.660531 | -0.683535 | 0.379672 | 0.845911 | -0.660853 | 0.869690 | -0.277594 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | 0.349751 | 1.707500 | 0.338096 | -0.491174 | -0.615492 | 0.252146 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 988 | -0.438422 | 0.446350 | 0.985479 | 1.580370 | 0.085049 | 1.169781 | 0.448214 | 0.379672 | -0.057788 | 1.153254 | -0.220113 | 0.122861 | -0.330589 | -0.426230 | -1.584178 | 1.415991 | 0.092620 | 0.931603 | -1.077862 | -0.164613 | -0.615492 | 0.252146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 989 | -0.438422 | 0.008343 | 1.577984 | -0.640727 | -1.868426 | 0.254625 | -0.585122 | 0.379672 | -0.961486 | 0.246200 | -0.745148 | 1.724681 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | -0.164613 | -0.063296 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 990 | -0.438422 | -0.429664 | 0.764838 | -0.517332 | -1.868426 | -0.660531 | -0.240677 | 0.379672 | -0.057788 | 1.153254 | 0.742627 | 1.324226 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | -0.421642 | -0.620189 | 1.754054 | -0.327893 | -0.063296 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 991 | -0.438422 | -0.539166 | -0.752372 | -0.887515 | -1.868426 | 0.254625 | -1.470840 | 0.379672 | -0.057788 | -0.660853 | -0.515246 | -1.078504 | -0.603911 | -0.426230 | -1.584178 | 2.589994 | -0.935905 | 0.155707 | -1.077862 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 992 | -0.438422 | 0.227347 | 1.692023 | 1.950552 | -0.891688 | 0.254625 | 0.251388 | 0.379672 | 0.845911 | 0.246200 | 0.938533 | 0.122861 | 1.582663 | 2.346151 | -0.658973 | 0.241988 | 0.221185 | -0.620189 | 0.338096 | -0.164613 | -0.063296 | -0.679146 | 0.245834 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 993 | -0.438422 | -1.305679 | 1.411884 | 1.086793 | -1.868426 | -1.575686 | 1.333932 | 1.785511 | -0.057788 | 0.246200 | -0.057567 | -0.277594 | -1.150554 | -0.426230 | -0.658973 | -0.932014 | -0.678774 | 0.155707 | -1.077862 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 994 | -0.438422 | 1.650871 | -1.191173 | 2.320735 | -0.891688 | 1.169781 | -0.339090 | 1.785511 | 1.749610 | 0.246200 | 1.432971 | -0.277594 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | 1.635406 | 0.155707 | -1.077862 | -0.327893 | -0.339394 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 995 | -0.438422 | 0.665354 | 0.316121 | -0.393938 | 0.085049 | -1.575686 | 0.349801 | -1.026167 | -0.057788 | 0.246200 | -0.514609 | -0.678049 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | 1.121144 | 0.155707 | -2.493820 | 2.121310 | 0.764998 | -0.368715 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 996 | -0.438422 | -1.086676 | -1.481228 | 0.099639 | 0.085049 | 1.169781 | 1.579964 | -1.026167 | -0.057788 | 1.153254 | -0.155945 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.164613 | -0.615492 | 0.562576 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 997 | 2.280906 | -1.086676 | -1.654765 | 0.963398 | 1.061787 | 1.169781 | -0.732742 | 0.379672 | -0.961486 | 0.246200 | -0.873060 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | 0.161947 | -0.615492 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 998 | -0.438422 | -1.196177 | -0.296217 | -0.887515 | -1.868426 | -1.575686 | -1.470840 | -1.026167 | -0.961486 | 1.153254 | -0.552217 | -1.078504 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.807339 | -0.620189 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 999 | -0.438422 | 0.555852 | 0.854086 | 0.099639 | 0.085049 | 0.254625 | -1.716872 | 0.379672 | 1.749610 | -1.567907 | 2.187695 | -1.078504 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 1.249709 | 1.707500 | 0.338096 | 2.121310 | 0.764998 | -0.679146 | 1.367249 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1000 | -0.438422 | 1.650871 | -1.349836 | -0.147150 | 1.061787 | 0.254625 | -0.585122 | 0.379672 | -0.961486 | -1.567907 | -0.754922 | 2.525591 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | 0.092620 | -0.620189 | -2.493820 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1001 | -0.438422 | 0.008343 | 1.635003 | 0.223033 | 0.085049 | -1.575686 | 1.383138 | 0.379672 | -0.961486 | 0.246200 | -0.610649 | 0.523316 | 0.762698 | -0.426230 | -1.584178 | -0.932014 | -0.421642 | 2.483396 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1002 | -0.438422 | -0.210661 | -1.493624 | 1.086793 | -0.891688 | 0.254625 | -0.289883 | 0.379672 | 0.845911 | 1.153254 | 0.607491 | -0.277594 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1003 | -0.438422 | -1.305679 | 0.363224 | -1.010909 | 0.085049 | -1.575686 | 0.743454 | 0.379672 | -0.961486 | 1.153254 | -0.695641 | 0.523316 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | -0.550208 | -0.620189 | -1.077862 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1004 | -0.438422 | -1.196177 | -0.373069 | -0.270544 | 0.085049 | 0.254625 | 1.678377 | 1.785511 | -0.961486 | -1.567907 | -0.621485 | -1.078504 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1005 | -0.438422 | -0.867672 | -1.166382 | 0.963398 | 0.085049 | -0.660531 | -0.732742 | -1.026167 | 0.845911 | -1.567907 | 0.315545 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | -0.164511 | 0.155707 | -1.077862 | 0.488508 | 1.317193 | -0.679146 | 1.367249 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1006 | 2.280906 | 1.322365 | 1.667232 | 2.320735 | -0.891688 | -1.575686 | 1.530758 | -1.026167 | -0.057788 | -1.567907 | -0.471476 | 0.122861 | 1.309341 | 2.346151 | -1.584178 | -0.932014 | 1.121144 | -0.620189 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1007 | 2.280906 | -0.867672 | -1.153987 | 0.593216 | -1.868426 | 0.254625 | 0.891073 | 0.379672 | 0.845911 | 1.153254 | 0.223117 | -1.078504 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -0.293077 | -1.396086 | 0.338096 | 0.161947 | 0.764998 | 1.493867 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1008 | -0.438422 | 1.869874 | 0.417764 | -1.010909 | 0.085049 | 1.169781 | -0.585122 | 0.379672 | 1.749610 | 1.153254 | 2.300096 | 1.324226 | 1.036019 | -0.426230 | 1.191438 | -0.932014 | 2.278234 | 0.155707 | -1.077862 | 2.121310 | 0.764998 | 3.046019 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1009 | -0.438422 | 2.307882 | 0.626009 | -1.010909 | 0.085049 | 1.169781 | 0.497421 | 0.379672 | 2.653309 | -1.567907 | 2.804308 | 0.122861 | 1.582663 | 2.346151 | 0.266233 | 0.241988 | 2.663930 | 0.155707 | 0.338096 | 0.325228 | 1.041095 | -0.368715 | 0.245834 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1010 | -0.438422 | 1.979376 | 0.826816 | -1.010909 | 1.061787 | -0.660531 | 0.743454 | 1.785511 | 1.749610 | 1.153254 | 1.748501 | -0.277594 | -0.603911 | -0.426230 | 1.191438 | 1.415991 | 2.535365 | 0.931603 | 1.754054 | -0.001333 | 0.764998 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1011 | -0.438422 | -0.101159 | 0.921022 | -0.764121 | 1.061787 | -1.575686 | 1.629171 | 0.379672 | -0.057788 | -0.660853 | 0.589643 | 0.122861 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | 0.478316 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1012 | 2.280906 | -0.648668 | -0.335883 | -1.010909 | 1.061787 | -0.660531 | -0.781948 | -2.432006 | -0.961486 | 0.246200 | -1.092976 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 1013 | -0.438422 | -0.758170 | 0.130188 | -0.270544 | 1.061787 | 1.169781 | 0.349801 | 0.379672 | -0.057788 | -1.567907 | -0.366299 | 1.724681 | -0.330589 | -0.426230 | -0.658973 | 1.415991 | -0.421642 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1014 | -0.438422 | -0.648668 | -1.538248 | -0.147150 | 2.038524 | -1.575686 | 1.333932 | 0.379672 | 1.749610 | -0.660853 | 2.107590 | 0.122861 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.293077 | 0.155707 | 1.754054 | -0.654454 | -0.615492 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1015 | -0.438422 | -0.320163 | -0.601147 | -1.010909 | 1.061787 | 1.169781 | 1.235519 | 0.379672 | -0.961486 | -1.567907 | -0.745148 | 0.923771 | -0.330589 | -0.426230 | 0.266233 | 1.415991 | -0.164511 | -0.620189 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1016 | 2.280906 | -0.648668 | -1.488665 | -0.147150 | 0.085049 | -1.575686 | -1.569253 | -1.026167 | -0.961486 | -0.660853 | -1.113798 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -1.321601 | 0.155707 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1017 | -0.438422 | -1.086676 | 1.424280 | 0.223033 | -1.868426 | -0.660531 | 1.235519 | 0.379672 | -0.961486 | -1.567907 | -0.935741 | -1.078504 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.678774 | 0.155707 | 1.754054 | -0.327893 | -1.167687 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1018 | -0.438422 | -0.101159 | -1.563039 | -0.640727 | 1.061787 | -1.575686 | -1.421633 | -1.026167 | -0.057788 | 1.153254 | -0.147233 | -0.678049 | 0.216054 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | -1.077862 | 0.488508 | -0.063296 | -0.368715 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1019 | -0.438422 | -0.101159 | -1.173819 | 0.840004 | 1.061787 | 0.254625 | 1.579964 | -1.026167 | -0.057788 | -1.567907 | -0.181867 | 0.523316 | -0.603911 | -0.426230 | -1.584178 | 1.415991 | -0.035946 | 0.155707 | -1.077862 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1020 | -0.438422 | 1.103362 | -0.836662 | -1.010909 | 0.085049 | -1.575686 | 0.399008 | 0.379672 | -0.961486 | 1.153254 | -0.655057 | 1.724681 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | 0.735447 | -0.620189 | -1.077862 | -0.164613 | 0.212802 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1021 | 2.280906 | -1.305679 | -1.039948 | -0.023755 | -0.891688 | -1.575686 | 0.103769 | -1.026167 | -0.961486 | -1.567907 | -0.446828 | 0.122861 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -0.678774 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 1022 | -0.438422 | 0.008343 | 1.513527 | -0.517332 | -0.891688 | 0.254625 | 0.891073 | 1.785511 | -0.961486 | 0.246200 | -0.638059 | -1.078504 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | -0.550208 | -0.620189 | -2.493820 | -0.164613 | 0.212802 | -0.368715 | -0.314873 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1023 | -0.438422 | 2.088878 | 1.121829 | -1.010909 | -0.891688 | -1.575686 | 1.186312 | 0.379672 | -0.961486 | -1.567907 | -0.942753 | -0.277594 | 1.855984 | 2.346151 | 1.191438 | 0.241988 | -0.807339 | 0.155707 | 1.754054 | -0.654454 | -0.615492 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1024 | -0.438422 | 1.103362 | -1.099446 | -0.887515 | 1.061787 | -1.575686 | 0.792660 | 0.379672 | 1.749610 | 0.246200 | 2.266312 | 0.122861 | 1.036019 | -0.426230 | -0.658973 | 1.415991 | 1.892537 | -0.620189 | 1.754054 | 2.121310 | 3.525976 | 0.873006 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1025 | -0.438422 | -1.415181 | 1.669711 | -0.640727 | -1.868426 | 1.169781 | -1.175601 | 0.379672 | -0.057788 | 0.246200 | -0.497398 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 1.415991 | -0.807339 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1026 | -0.438422 | -0.539166 | -0.499504 | -0.270544 | 2.038524 | 1.169781 | 1.530758 | 0.379672 | -0.057788 | 1.153254 | 0.573919 | 0.523316 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -0.550208 | 0.155707 | -1.077862 | -0.491174 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1027 | -0.438422 | -0.320163 | -0.995324 | -1.010909 | 0.085049 | 1.169781 | 0.989486 | -1.026167 | -0.961486 | -0.660853 | -0.681829 | 0.923771 | 0.489376 | -0.426230 | -1.584178 | 0.241988 | -0.550208 | -0.620189 | -1.077862 | -0.327893 | -0.063296 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1028 | -0.438422 | 0.446350 | 1.191244 | -0.517332 | 2.038524 | -0.660531 | 1.186312 | 1.785511 | -0.961486 | 0.246200 | -0.929792 | -0.277594 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -0.550208 | 1.707500 | -1.077862 | -0.491174 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1029 | -0.438422 | 0.336849 | -0.345799 | -0.023755 | 1.061787 | 0.254625 | 0.743454 | 0.379672 | -0.057788 | 0.246200 | -0.537131 | 0.122861 | -1.150554 | -0.426230 | 0.266233 | 1.415991 | -0.035946 | -0.620189 | 1.754054 | 0.161947 | 0.764998 | -0.679146 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1030 | -0.438422 | -0.648668 | -1.181257 | -0.147150 | -0.891688 | -1.575686 | -1.716872 | 0.379672 | 0.845911 | 1.153254 | 0.911548 | -0.678049 | 0.762698 | -0.426230 | -1.584178 | 0.241988 | 0.221185 | 1.707500 | 0.338096 | 0.978348 | 0.764998 | 2.114728 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1031 | 2.280906 | 0.993860 | -1.054823 | -0.023755 | 0.085049 | -1.575686 | -0.683535 | 0.379672 | 0.845911 | 1.153254 | 0.763450 | 0.523316 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | 2.149668 | -1.396086 | 1.754054 | -0.001333 | 0.764998 | 0.562576 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1032 | 2.280906 | 0.227347 | -0.521816 | -0.887515 | 0.085049 | -1.575686 | -0.585122 | -1.026167 | -0.961486 | -1.567907 | -0.607037 | -0.277594 | 2.129306 | 2.346151 | -0.658973 | -0.932014 | -0.035946 | -0.620189 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1033 | 2.280906 | -0.648668 | 1.592859 | -1.010909 | 2.038524 | 0.254625 | 1.678377 | 1.785511 | 0.845911 | -0.660853 | 0.200382 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 1.041095 | 0.562576 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1034 | -0.438422 | 0.884358 | 0.583864 | 1.333581 | 0.085049 | -0.660531 | 1.432345 | -2.432006 | 0.845911 | -1.567907 | 0.923872 | -0.277594 | 0.762698 | -0.426230 | -0.658973 | 0.241988 | 1.635406 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1035 | -0.438422 | -0.648668 | 1.476341 | -0.147150 | -0.891688 | 1.169781 | 1.481551 | 1.785511 | -0.961486 | -0.660853 | -0.933617 | 2.525591 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1036 | 2.280906 | -0.648668 | -0.692874 | -0.887515 | 0.085049 | -0.660531 | 1.383138 | 0.379672 | -0.961486 | 1.153254 | -0.590889 | 1.324226 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -0.550208 | -0.620189 | -2.493820 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1037 | -0.438422 | 0.884358 | 1.600296 | 2.444129 | 0.085049 | -0.660531 | -0.535916 | 0.379672 | 0.845911 | 1.153254 | 0.611316 | 0.523316 | 0.762698 | -0.426230 | 1.191438 | 1.415991 | -0.164511 | 0.931603 | 1.754054 | -0.654454 | -0.891589 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1038 | -0.438422 | 1.212863 | 1.037540 | -0.270544 | 0.085049 | 0.254625 | 1.481551 | 0.379672 | -0.057788 | -1.567907 | -0.216076 | 0.523316 | -1.150554 | -0.426230 | -1.584178 | 2.589994 | 0.478316 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1039 | 2.280906 | -0.320163 | 0.754922 | -0.023755 | 1.061787 | -1.575686 | -0.683535 | 0.379672 | -0.961486 | 0.246200 | -0.799118 | -0.678049 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | -1.193036 | -2.171982 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1040 | -0.438422 | 0.336849 | -1.449000 | -0.147150 | -1.868426 | 1.169781 | -0.535916 | -1.026167 | 0.845911 | -0.660853 | 1.541335 | -0.277594 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 0.606882 | 1.707500 | 0.338096 | 0.325228 | 1.041095 | 0.562576 | 1.086895 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1041 | -0.438422 | -0.977174 | 0.157458 | -0.517332 | 0.085049 | 1.169781 | 0.891073 | 0.379672 | -0.057788 | -1.567907 | 0.416473 | -1.078504 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | 0.931603 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1042 | -0.438422 | 0.774856 | 0.442555 | -0.517332 | 0.085049 | 0.254625 | 1.186312 | -1.026167 | -0.961486 | 0.246200 | -0.709877 | 0.122861 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.550208 | 1.707500 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1043 | -0.438422 | 1.760373 | -0.881285 | -0.887515 | 0.085049 | 1.169781 | -1.323220 | 1.785511 | 1.749610 | -0.660853 | 2.144987 | 0.523316 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | 3.049627 | -0.620189 | -1.077862 | 0.325228 | 1.041095 | 1.804297 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1044 | -0.438422 | 1.322365 | 1.716814 | -0.517332 | 1.061787 | -1.575686 | 1.481551 | 0.379672 | -0.057788 | 0.246200 | 0.031461 | -0.277594 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | 1.121144 | -2.171982 | -1.077862 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1045 | -0.438422 | 0.336849 | 0.231831 | -0.887515 | 0.085049 | 0.254625 | 0.103769 | 0.379672 | -0.961486 | 0.246200 | -0.883472 | -0.277594 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | -0.421642 | 0.155707 | 1.754054 | -0.654454 | -0.891589 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1046 | -0.438422 | 0.774856 | 1.647399 | 1.333581 | 0.085049 | 1.169781 | -0.831155 | 0.379672 | -0.961486 | -0.660853 | -0.655057 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | -1.077862 | -0.327893 | -0.615492 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1047 | -0.438422 | -0.429664 | -0.923430 | -0.270544 | 0.085049 | 1.169781 | -0.585122 | 0.379672 | -0.057788 | -1.567907 | -0.452565 | -1.078504 | -0.330589 | -0.426230 | -1.584178 | 1.415991 | -0.807339 | -0.620189 | 0.338096 | -0.491174 | -0.339394 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1048 | -0.438422 | -0.320163 | 1.297845 | -0.764121 | 0.085049 | 1.169781 | 0.743454 | -2.432006 | -0.057788 | -1.567907 | -0.370548 | 0.122861 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | 0.478316 | -0.620189 | 0.338096 | 0.978348 | 1.317193 | 0.252146 | 2.208310 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1049 | -0.438422 | -0.758170 | 1.377177 | 0.840004 | -1.868426 | 1.169781 | 1.481551 | 0.379672 | -0.057788 | 0.246200 | -0.255385 | 2.125136 | -0.057267 | -0.426230 | 0.266233 | 1.415991 | -0.935905 | -0.620189 | -1.077862 | -0.817734 | -0.891589 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1050 | -0.438422 | 0.555852 | -0.135076 | -0.023755 | -0.891688 | -1.575686 | 0.399008 | 0.379672 | -0.961486 | 1.153254 | -0.601300 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | 0.092620 | 0.155707 | 0.338096 | 0.815068 | 1.317193 | 0.873006 | 1.086895 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1051 | -0.438422 | 0.774856 | -1.039948 | -1.010909 | 2.038524 | -1.575686 | 0.645041 | 0.379672 | -0.057788 | 0.246200 | -0.368636 | 1.724681 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -0.035946 | 0.931603 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1052 | -0.438422 | -0.758170 | 0.464867 | -0.270544 | 0.085049 | 0.254625 | -0.093057 | 0.379672 | -0.961486 | 0.246200 | -1.111036 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | 1.415991 | -1.321601 | -0.620189 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1053 | -0.438422 | 2.198380 | -0.985408 | -1.010909 | -0.891688 | -0.660531 | 1.333932 | 1.785511 | -0.057788 | 0.246200 | -0.340589 | -1.078504 | 2.402628 | 2.346151 | -1.584178 | 0.241988 | 0.221185 | -0.620189 | -1.077862 | 0.815068 | 1.317193 | -0.058285 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1054 | -0.438422 | 1.322365 | 1.704418 | -0.270544 | 1.061787 | 0.254625 | -1.520046 | 0.379672 | 0.845911 | -0.660853 | 0.842067 | 0.122861 | -0.330589 | -0.426230 | -0.658973 | 1.415991 | 2.278234 | 0.155707 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1055 | -0.438422 | -0.320163 | 0.065732 | 0.716610 | 0.085049 | -0.660531 | 0.251388 | 0.379672 | 1.749610 | -1.567907 | 2.231890 | 1.724681 | -0.330589 | -0.426230 | 1.191438 | 1.415991 | 0.606882 | 0.155707 | -1.077862 | 1.141629 | 1.041095 | 1.183437 | 1.367249 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1056 | 2.280906 | -0.977174 | 1.719293 | -1.010909 | 0.085049 | -1.575686 | 1.284725 | 0.379672 | -0.961486 | 0.246200 | -0.763634 | 0.122861 | -0.057267 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | 0.155707 | 1.754054 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 1057 | 2.280906 | -0.867672 | -1.704347 | 0.469821 | 0.085049 | -1.575686 | -0.732742 | 0.379672 | -0.057788 | -0.660853 | -0.156795 | 0.923771 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | -0.550208 | 0.931603 | -2.493820 | -0.327893 | -0.339394 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1058 | 2.280906 | -0.320163 | -0.030953 | 1.827158 | 1.061787 | -1.575686 | -1.274014 | -1.026167 | -0.057788 | -0.660853 | -0.404545 | -1.078504 | 2.129306 | 2.346151 | 0.266233 | -0.932014 | 0.606882 | -0.620189 | 1.754054 | 1.304909 | 1.317193 | 2.425158 | 1.647603 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1059 | -0.438422 | -0.210661 | -0.353237 | -0.270544 | -1.868426 | 1.169781 | 0.497421 | 0.379672 | -0.961486 | 0.246200 | -0.870935 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 1060 | 2.280906 | -1.415181 | -1.044906 | -0.023755 | 0.085049 | -0.660531 | 1.137106 | 0.379672 | -0.961486 | -1.567907 | -0.707752 | -0.277594 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.935905 | -0.620189 | -1.077862 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1061 | -0.438422 | -1.415181 | 0.068211 | 0.469821 | -0.891688 | 1.169781 | 0.595834 | 0.379672 | -0.961486 | -0.660853 | -0.949765 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 1062 | -0.438422 | 0.774856 | 0.968125 | -0.887515 | -1.868426 | -0.660531 | 0.989486 | 0.379672 | 0.845911 | 0.246200 | 0.787460 | 0.923771 | 0.762698 | -0.426230 | -0.658973 | -0.932014 | 0.606882 | -0.620189 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1063 | -0.438422 | -0.867672 | 1.099517 | 1.210187 | 0.085049 | 0.254625 | 0.546627 | -1.026167 | -0.057788 | 0.246200 | 0.449832 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | 1.415991 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 0.764998 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1064 | -0.438422 | -0.758170 | -1.171340 | -1.010909 | 0.085049 | 0.254625 | -0.978775 | 0.379672 | -0.961486 | 0.246200 | -0.943178 | -1.078504 | 1.582663 | 2.346151 | -1.584178 | 0.241988 | -0.678774 | 0.155707 | 1.754054 | -0.327893 | -0.339394 | -0.368715 | -0.314873 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1065 | -0.438422 | 1.979376 | 1.057373 | -0.640727 | 1.061787 | 1.169781 | -1.766079 | 0.379672 | -0.057788 | 0.246200 | -0.524383 | -1.078504 | 0.216054 | -0.426230 | -0.658973 | -0.932014 | -0.935905 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1066 | -0.438422 | -0.429664 | 0.735089 | -0.640727 | 1.061787 | -1.575686 | 0.792660 | -1.026167 | -0.961486 | -0.660853 | -0.566241 | 2.125136 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | 1.707500 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1067 | -0.438422 | 1.103362 | -0.573877 | 0.593216 | 0.085049 | 0.254625 | 0.595834 | 0.379672 | -0.057788 | 0.246200 | -0.406245 | 0.122861 | 0.489376 | -0.426230 | 0.266233 | 0.241988 | -0.035946 | 0.931603 | -1.077862 | -0.327893 | -0.063296 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1068 | 2.280906 | -0.977174 | -1.272984 | -0.887515 | -0.891688 | 0.254625 | -1.372427 | -1.026167 | -0.961486 | -1.567907 | -0.837576 | 1.724681 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.421642 | -0.620189 | -1.077862 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1069 | -0.438422 | -0.977174 | 1.538318 | -1.010909 | 0.085049 | -1.575686 | 0.300595 | -1.026167 | -0.961486 | 0.246200 | -1.049630 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -1.321601 | -0.620189 | -2.493820 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1070 | -0.438422 | -0.977174 | -0.831703 | -0.270544 | 0.085049 | 0.254625 | -0.535916 | 0.379672 | -0.057788 | -1.567907 | -0.341014 | -1.078504 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.807339 | 1.707500 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1071 | -0.438422 | 1.322365 | -1.317607 | -0.764121 | -0.891688 | 0.254625 | -1.126394 | -1.026167 | -0.057788 | -1.567907 | -0.364174 | 0.523316 | 2.675949 | 2.346151 | -1.584178 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1072 | -0.438422 | -0.867672 | -0.973012 | -0.887515 | -1.868426 | 1.169781 | 1.530758 | 0.379672 | -0.961486 | -0.660853 | -0.706052 | -1.078504 | -0.603911 | -0.426230 | 0.266233 | 2.589994 | -0.935905 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1073 | -0.438422 | -0.977174 | 0.695424 | 2.444129 | -1.868426 | 0.254625 | 1.481551 | -2.432006 | -0.057788 | -0.660853 | 0.009789 | -0.678049 | -0.330589 | -0.426230 | -0.658973 | 1.415991 | -0.421642 | -0.620189 | -1.077862 | 0.161947 | 0.488900 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1074 | -0.438422 | -0.429664 | -0.710227 | -0.147150 | 2.038524 | 1.169781 | 0.152975 | 0.379672 | -0.057788 | 0.246200 | -0.024420 | -0.277594 | 0.489376 | -0.426230 | -1.584178 | -0.932014 | 0.349751 | 2.483396 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1075 | -0.438422 | -0.539166 | -0.762289 | 0.099639 | 0.085049 | 0.254625 | -0.093057 | 0.379672 | 0.845911 | 1.153254 | 1.007376 | -0.277594 | 2.675949 | 2.346151 | -0.658973 | -0.932014 | -0.164511 | 1.707500 | 1.754054 | -0.327893 | -0.615492 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1076 | -0.438422 | 1.869874 | 0.613613 | 0.223033 | 1.061787 | -0.660531 | 1.038693 | 0.379672 | 1.749610 | 1.153254 | 2.024724 | 0.122861 | 1.309341 | 2.346151 | -1.584178 | 0.241988 | 1.892537 | -0.620189 | 0.338096 | 1.141629 | 1.317193 | -0.368715 | 2.208310 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1077 | 2.280906 | -0.867672 | -1.434125 | -1.010909 | 1.061787 | -1.575686 | 1.678377 | -1.026167 | -0.961486 | -1.567907 | -0.879859 | 1.324226 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.035946 | -0.620189 | -2.493820 | 0.325228 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1078 | -0.438422 | 0.774856 | -1.652286 | 2.320735 | 0.085049 | 1.169781 | -1.667666 | 0.379672 | 1.749610 | -1.567907 | 2.087617 | 0.122861 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | 1.635406 | -1.396086 | 1.754054 | 2.121310 | 0.488900 | 3.666880 | 3.610079 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1079 | -0.438422 | 0.227347 | 0.710298 | -0.393938 | 0.085049 | -0.660531 | -1.667666 | 0.379672 | 0.845911 | -0.660853 | 0.397987 | 0.523316 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | 0.155707 | 0.338096 | -0.817734 | -1.167687 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1080 | -0.438422 | 0.993860 | -1.424209 | -0.764121 | 0.085049 | 0.254625 | -0.732742 | 0.379672 | 1.749610 | -0.660853 | 2.146686 | 2.125136 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | 1.506840 | -0.620189 | 1.754054 | 0.978348 | 2.145487 | 0.873006 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1081 | -0.438422 | -0.210661 | 0.561552 | 0.840004 | 0.085049 | 1.169781 | 1.235519 | -1.026167 | 0.845911 | -0.660853 | 0.446857 | -0.678049 | 1.036019 | -0.426230 | 1.191438 | -0.932014 | -0.035946 | 0.155707 | -2.493820 | 0.651788 | 1.041095 | 0.252146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1082 | -0.438422 | -1.524683 | -0.732539 | 1.333581 | -1.868426 | -1.575686 | 1.530758 | 0.379672 | -0.057788 | 0.246200 | -0.898983 | -1.078504 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.807339 | -0.620189 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1083 | 2.280906 | 0.336849 | -0.313571 | -0.023755 | 1.061787 | 1.169781 | 0.989486 | 0.379672 | -0.961486 | -1.567907 | -0.952952 | 0.122861 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | 0.478316 | 0.155707 | -2.493820 | -0.327893 | -0.063296 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1084 | -0.438422 | -0.320163 | 0.417764 | -1.010909 | 0.085049 | 1.169781 | -0.093057 | -1.026167 | 0.845911 | 0.246200 | 0.123252 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 1.317193 | 1.804297 | 0.526188 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1085 | 2.280906 | -0.648668 | -0.598668 | -0.764121 | 0.085049 | 1.169781 | -1.618459 | 0.379672 | -0.961486 | 0.246200 | -0.513971 | -0.678049 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -0.550208 | -0.620189 | -2.493820 | -0.001333 | -0.615492 | 1.493867 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1086 | -0.438422 | 1.431867 | -1.163903 | 1.580370 | 2.038524 | 0.254625 | 1.087899 | -2.432006 | 1.749610 | 1.153254 | 1.680296 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | 2.663930 | -0.620189 | 0.338096 | 4.080672 | 0.488900 | 3.356449 | 1.367249 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1087 | -0.438422 | -0.320163 | 1.580463 | -0.270544 | -0.891688 | -0.660531 | -0.535916 | 0.379672 | -0.961486 | 0.246200 | -0.891333 | -1.078504 | 2.675949 | 2.346151 | -0.658973 | 0.241988 | 0.092620 | 0.931603 | 0.338096 | 0.651788 | 1.593291 | 0.873006 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 |
| 1088 | -0.438422 | 0.555852 | 1.010270 | -0.887515 | 0.085049 | 0.254625 | 0.103769 | -1.026167 | -0.961486 | -0.660853 | -0.353125 | 0.523316 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | -0.935905 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1089 | -0.438422 | 0.008343 | -0.318529 | 0.469821 | 0.085049 | -1.575686 | -0.929568 | 0.379672 | -0.057788 | 1.153254 | -0.471263 | -0.678049 | 0.489376 | -0.426230 | -1.584178 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 1.041095 | 0.252146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1090 | -0.438422 | -0.867672 | -0.896160 | -0.147150 | -1.868426 | 0.254625 | -1.323220 | -2.432006 | -0.057788 | -1.567907 | 0.682496 | 0.122861 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -0.293077 | 0.155707 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1091 | -0.438422 | -0.429664 | -0.563960 | 1.950552 | 0.085049 | 1.169781 | -1.077188 | -1.026167 | -0.057788 | -0.660853 | -0.463826 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.807339 | -0.620189 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1092 | -0.438422 | 0.884358 | 0.365703 | 2.320735 | 0.085049 | 1.169781 | 1.530758 | 0.379672 | -0.961486 | 1.153254 | -0.928730 | 0.523316 | 1.309341 | 2.346151 | 1.191438 | 0.241988 | -0.421642 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1093 | -0.438422 | 0.555852 | -1.275463 | -0.887515 | 0.085049 | 1.169781 | -1.274014 | 0.379672 | 0.845911 | 1.153254 | 0.769400 | -0.277594 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 1.635406 | 0.155707 | -2.493820 | 2.121310 | 1.041095 | 3.356449 | 1.367249 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1094 | -0.438422 | 0.336849 | 1.337511 | -0.023755 | -0.891688 | -1.575686 | -0.929568 | 0.379672 | -0.057788 | -1.567907 | -0.218838 | -1.078504 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | 1.707500 | 1.754054 | 0.161947 | -0.063296 | 1.493867 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1095 | -0.438422 | -0.429664 | -0.529253 | 2.320735 | 1.061787 | -0.660531 | 0.645041 | 0.379672 | -0.057788 | 0.246200 | -0.275358 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | 0.478316 | 0.155707 | 0.338096 | 1.304909 | 2.697683 | 0.873006 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1096 | -0.438422 | 0.336849 | 0.236790 | -0.393938 | -0.891688 | 0.254625 | -1.372427 | 0.379672 | 1.749610 | 1.153254 | 2.110778 | -0.678049 | 1.582663 | 2.346151 | 1.191438 | -0.932014 | 1.249709 | -0.620189 | 0.338096 | 2.284590 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1097 | -0.438422 | -1.415181 | -1.121758 | 1.456975 | -0.891688 | 0.254625 | -0.437503 | -1.026167 | -0.961486 | -1.567907 | -0.893883 | -1.078504 | -0.330589 | -0.426230 | -0.658973 | 2.589994 | -1.193036 | 0.155707 | 0.338096 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1098 | -0.438422 | 0.336849 | 0.841691 | -0.147150 | -0.891688 | 1.169781 | 0.300595 | 0.379672 | -0.057788 | 1.153254 | -0.517158 | 0.122861 | 0.762698 | -0.426230 | 0.266233 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1099 | -0.438422 | 0.884358 | -0.655687 | -1.010909 | 1.061787 | -1.575686 | 0.005356 | 0.379672 | 0.845911 | -0.660853 | 0.199320 | -0.678049 | -0.877232 | -0.426230 | -1.584178 | 2.589994 | -0.164511 | 0.931603 | 0.338096 | 0.488508 | 1.041095 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1100 | -0.438422 | -0.210661 | 1.486257 | 2.320735 | 1.061787 | -0.660531 | 1.579964 | -1.026167 | -0.961486 | 0.246200 | -0.865411 | -1.078504 | 2.129306 | 2.346151 | -1.584178 | 1.415991 | -0.678774 | 1.707500 | 0.338096 | -0.327893 | -0.339394 | 0.562576 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 1101 | -0.438422 | -0.539166 | 0.053336 | -0.517332 | -0.891688 | 1.169781 | 0.054562 | -1.026167 | -0.057788 | -0.660853 | -0.132785 | 0.122861 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | 0.092620 | -0.620189 | 0.338096 | -0.001333 | -0.891589 | -0.058285 | 0.245834 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1102 | -0.438422 | -0.101159 | 0.878877 | -0.887515 | 1.061787 | 0.254625 | 0.202182 | 0.379672 | -0.961486 | 1.153254 | -0.819941 | 0.122861 | 1.582663 | 2.346151 | 1.191438 | -0.932014 | -0.550208 | 0.155707 | -1.077862 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 1103 | -0.438422 | 1.212863 | -0.769726 | 0.840004 | 1.061787 | 0.254625 | 1.481551 | 0.379672 | -0.057788 | 0.246200 | -0.013584 | 2.125136 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 0.864013 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1104 | -0.438422 | -0.867672 | -0.506941 | -0.023755 | 0.085049 | 0.254625 | 1.235519 | 1.785511 | -0.961486 | 0.246200 | -0.860949 | 1.324226 | 0.762698 | -0.426230 | -1.584178 | 1.415991 | -0.807339 | -0.620189 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1105 | -0.438422 | -0.429664 | 1.089601 | -0.147150 | 1.061787 | -1.575686 | -0.978775 | 0.379672 | -0.057788 | -1.567907 | -0.023571 | -0.277594 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.421642 | 2.483396 | -2.493820 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1106 | 2.280906 | -0.758170 | -0.154908 | -1.010909 | 0.085049 | -0.660531 | -0.093057 | -1.026167 | -0.057788 | -1.567907 | 0.682284 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | 0.931603 | 0.338096 | 0.488508 | 1.041095 | 1.183437 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1107 | -0.438422 | 0.117845 | 0.211999 | 0.099639 | 1.061787 | 0.254625 | 0.251388 | 0.379672 | -0.057788 | 0.246200 | -0.090501 | 0.122861 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | -0.164613 | -0.339394 | -0.368715 | -0.595227 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1108 | -0.438422 | -0.210661 | 0.469825 | -1.010909 | 0.085049 | 1.169781 | 0.103769 | -1.026167 | -0.961486 | -1.567907 | -0.861161 | -0.678049 | 1.036019 | -0.426230 | -0.658973 | -0.932014 | -1.064470 | 0.155707 | 0.338096 | -0.654454 | -1.167687 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1109 | -0.438422 | -0.758170 | 1.203640 | 2.444129 | 1.061787 | 0.254625 | -1.618459 | 0.379672 | 0.845911 | -0.660853 | 0.583693 | 0.122861 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -0.293077 | 0.155707 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1110 | 2.280906 | -0.210661 | -1.731617 | -0.887515 | 0.085049 | -1.575686 | 0.152975 | 0.379672 | -0.961486 | -1.567907 | -0.941053 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1111 | 2.280906 | 1.760373 | -0.484629 | -0.887515 | 2.038524 | 0.254625 | 0.595834 | -1.026167 | 0.845911 | 1.153254 | 0.778961 | -1.078504 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | 2.921061 | 0.931603 | 0.338096 | 4.243953 | 0.764998 | -0.368715 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1112 | 2.280906 | 0.117845 | 0.249185 | -0.887515 | 0.085049 | 0.254625 | 0.743454 | 0.379672 | -0.057788 | -0.660853 | -0.350150 | 0.523316 | -1.150554 | -0.426230 | -1.584178 | 1.415991 | -0.550208 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1113 | -0.438422 | -0.539166 | 0.985479 | -1.010909 | 1.061787 | 1.169781 | -0.191470 | 0.379672 | -0.057788 | -1.567907 | -0.513334 | 0.523316 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | -0.293077 | 0.155707 | -1.077862 | -0.164613 | 0.212802 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1114 | -0.438422 | 1.212863 | 0.757401 | 0.716610 | 1.061787 | 0.254625 | -0.043851 | 0.379672 | -0.961486 | -1.567907 | -0.878797 | 2.125136 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | 0.155707 | -1.077862 | 0.161947 | -0.615492 | 1.493867 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1115 | -0.438422 | -0.320163 | -0.801954 | -0.270544 | 1.061787 | -1.575686 | -1.520046 | 0.379672 | -0.961486 | 1.153254 | -0.750248 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -1.321601 | 0.931603 | -2.493820 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1116 | -0.438422 | 1.979376 | -0.291259 | 2.073946 | 2.038524 | 0.254625 | -0.289883 | -1.026167 | 2.653309 | 1.153254 | 2.779873 | -0.678049 | 1.582663 | 2.346151 | 0.266233 | 0.241988 | 3.178192 | 0.155707 | 0.338096 | 4.733793 | 0.488900 | -0.058285 | 2.488664 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1117 | -0.438422 | -0.320163 | 1.359823 | -1.010909 | 1.061787 | -0.660531 | -1.027981 | 0.379672 | -0.057788 | 1.153254 | -0.216501 | 2.525591 | 0.489376 | -0.426230 | -0.658973 | 0.241988 | -0.293077 | 0.155707 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1118 | -0.438422 | -1.196177 | -0.814350 | -0.764121 | 0.085049 | -1.575686 | 1.137106 | 0.379672 | -0.961486 | 1.153254 | -0.943816 | -0.678049 | 1.582663 | 2.346151 | -1.584178 | -0.932014 | -1.321601 | 1.707500 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1119 | -0.438422 | 0.117845 | 1.097038 | 0.593216 | 0.085049 | 0.254625 | 0.694247 | 0.379672 | -0.057788 | -0.660853 | 0.726904 | -1.078504 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | 0.325228 | 1.041095 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1120 | -0.438422 | 0.117845 | -0.906076 | 0.840004 | 0.085049 | -0.660531 | 1.186312 | 0.379672 | -0.057788 | -0.660853 | -0.489749 | -0.277594 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | -0.421642 | 1.707500 | 1.754054 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1121 | -0.438422 | -0.101159 | 0.202082 | -1.010909 | 1.061787 | -0.660531 | 0.349801 | 0.379672 | -0.057788 | 0.246200 | 0.066308 | 1.324226 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | 0.478316 | 1.707500 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1122 | -0.438422 | -0.867672 | 1.406926 | -0.764121 | -1.868426 | -0.660531 | 1.038693 | 0.379672 | -0.961486 | -1.567907 | -0.378197 | -0.678049 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 1.317193 | -0.368715 | 0.245834 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1123 | -0.438422 | -0.210661 | -0.328446 | 0.099639 | 1.061787 | -1.575686 | -0.732742 | 0.379672 | -0.057788 | 0.246200 | -0.076690 | 0.122861 | 0.216054 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | 0.931603 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1124 | -0.438422 | 0.227347 | 1.635003 | -0.393938 | 0.085049 | 1.169781 | -1.372427 | 1.785511 | 0.845911 | 0.246200 | 0.368453 | -0.277594 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | -0.035946 | 0.155707 | 0.338096 | -0.001333 | 0.488900 | 1.493867 | 0.526188 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1125 | -0.438422 | -0.867672 | 0.477263 | -0.887515 | -1.868426 | -1.575686 | 1.038693 | 0.379672 | -0.057788 | 1.153254 | 0.499339 | -0.678049 | 1.036019 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | -2.171982 | 1.754054 | -0.164613 | -0.063296 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1126 | -0.438422 | 1.431867 | -1.334961 | -0.023755 | 0.085049 | 0.254625 | -0.339090 | 0.379672 | 2.653309 | 0.246200 | 2.725691 | 0.523316 | 0.216054 | -0.426230 | 0.266233 | 0.241988 | 2.021103 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1127 | -0.438422 | -1.524683 | 0.432639 | 0.099639 | 0.085049 | 1.169781 | -1.027981 | 1.785511 | -0.961486 | 0.246200 | -0.941266 | -0.277594 | 0.216054 | -0.426230 | 1.191438 | 0.241988 | -0.935905 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1128 | -0.438422 | -0.101159 | 1.238347 | -0.393938 | 1.061787 | -1.575686 | 0.694247 | 1.785511 | -0.057788 | -1.567907 | -0.199928 | 0.122861 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.293077 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1129 | -0.438422 | 0.555852 | 0.635925 | -0.023755 | -0.891688 | 1.169781 | 1.333932 | -1.026167 | 2.653309 | 1.153254 | 2.785610 | 2.125136 | 1.855984 | 2.346151 | 1.191438 | -0.932014 | 1.635406 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1130 | -0.438422 | -0.210661 | -0.130117 | 2.320735 | 0.085049 | -0.660531 | -0.978775 | 1.785511 | -0.057788 | 0.246200 | -0.657819 | -0.678049 | 0.489376 | -0.426230 | 1.191438 | 1.415991 | -0.164511 | 0.155707 | -1.077862 | 0.488508 | 1.317193 | 1.183437 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1131 | -0.438422 | -0.320163 | -0.370590 | 0.099639 | 1.061787 | 1.169781 | 1.284725 | -1.026167 | -0.057788 | 0.246200 | -0.305955 | -0.678049 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | -0.421642 | 0.155707 | -1.077862 | 0.161947 | -0.615492 | 1.493867 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1132 | -0.438422 | 0.336849 | -1.696910 | 0.593216 | -0.891688 | 1.169781 | 0.891073 | 0.379672 | -0.057788 | -1.567907 | -0.396046 | -0.678049 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | -0.807339 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1133 | -0.438422 | 0.665354 | 0.464867 | 2.197341 | 0.085049 | 1.169781 | 1.038693 | 1.785511 | -0.961486 | -0.660853 | -0.345688 | 0.923771 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -0.421642 | -2.171982 | 0.338096 | -0.164613 | -0.063296 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1134 | -0.438422 | -0.210661 | 1.354865 | -0.270544 | -0.891688 | 0.254625 | -0.142264 | -1.026167 | -0.961486 | 1.153254 | -0.810167 | -0.678049 | 0.762698 | -0.426230 | 1.191438 | 0.241988 | -1.321601 | 1.707500 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1135 | -0.438422 | 0.993860 | -0.593710 | -1.010909 | 1.061787 | 1.169781 | -0.486709 | 1.785511 | 1.749610 | -1.567907 | 2.350878 | -0.678049 | -0.057267 | -0.426230 | -0.658973 | -0.932014 | 2.021103 | 1.707500 | -2.493820 | 3.100991 | -1.167687 | -0.679146 | 2.208310 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1136 | 2.280906 | -0.977174 | -1.173819 | 1.827158 | 0.085049 | 0.254625 | -0.732742 | 0.379672 | -0.961486 | -0.660853 | -0.870085 | -0.678049 | 0.489376 | -0.426230 | 0.266233 | 2.589994 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1137 | -0.438422 | -1.634185 | -0.856494 | 2.073946 | -0.891688 | -0.660531 | 0.940280 | -1.026167 | -0.961486 | 0.246200 | -0.783819 | -0.678049 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.935905 | -0.620189 | -1.077862 | -0.491174 | -0.615492 | -0.368715 | -0.314873 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1138 | -0.438422 | 1.431867 | 1.069768 | 1.333581 | 2.038524 | -0.660531 | -1.224807 | 0.379672 | 1.749610 | 0.246200 | 1.007588 | -0.277594 | -0.057267 | -0.426230 | 0.266233 | 0.241988 | 2.663930 | 0.155707 | 0.338096 | 3.754112 | 1.041095 | 3.046019 | 2.488664 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1139 | -0.438422 | -0.539166 | -0.417693 | -0.517332 | 1.061787 | -0.660531 | -1.520046 | 1.785511 | -0.961486 | 1.153254 | -0.678005 | 0.122861 | 0.489376 | -0.426230 | 1.191438 | 1.415991 | -0.678774 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1140 | -0.438422 | 0.774856 | 1.265617 | -0.270544 | 0.085049 | -0.660531 | -1.716872 | 0.379672 | 2.653309 | 1.153254 | 2.665772 | -1.078504 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | 1.506840 | 0.931603 | -1.077862 | 2.447870 | 0.764998 | -0.368715 | 1.647603 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1141 | -0.438422 | -0.758170 | -1.391980 | -0.270544 | 0.085049 | -0.660531 | -0.880361 | -1.026167 | -0.961486 | -0.660853 | -0.926817 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -0.678774 | 0.155707 | -1.077862 | -0.164613 | -0.063296 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1142 | -0.438422 | 0.884358 | 0.526845 | -0.517332 | 2.038524 | 0.254625 | -0.781948 | -2.432006 | -0.057788 | -1.567907 | -0.155945 | -0.678049 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 0.764998 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1143 | -0.438422 | 0.884358 | -1.156466 | 2.073946 | 0.085049 | -1.575686 | -0.683535 | -1.026167 | -0.057788 | -1.567907 | -0.450015 | -0.678049 | -0.057267 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 0.764998 | 0.562576 | 0.245834 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1144 | -0.438422 | -0.648668 | -0.216886 | -0.887515 | 1.061787 | 1.169781 | -0.585122 | 0.379672 | -0.057788 | -1.567907 | -0.248798 | 1.724681 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1145 | -0.438422 | -0.101159 | -0.603626 | 0.346427 | 1.061787 | 0.254625 | 0.497421 | 0.379672 | -0.057788 | 0.246200 | -0.390946 | 2.525591 | -0.877232 | -0.426230 | -0.658973 | 1.415991 | -0.550208 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1146 | -0.438422 | -0.320163 | -0.933347 | 0.099639 | 1.061787 | 0.254625 | -1.175601 | 1.785511 | -0.057788 | 1.153254 | -0.377985 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -0.293077 | 0.155707 | 0.338096 | 0.325228 | 0.764998 | 1.493867 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1147 | -0.438422 | 1.322365 | -0.199532 | 1.950552 | 1.061787 | 0.254625 | 0.891073 | 0.379672 | -0.961486 | -1.567907 | -0.699465 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | 0.155707 | -1.077862 | 0.325228 | 0.488900 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1148 | -0.438422 | 0.227347 | 1.449071 | 0.099639 | 2.038524 | -0.660531 | 0.497421 | 0.379672 | -0.057788 | -1.567907 | -0.239236 | -0.277594 | -0.603911 | -0.426230 | 1.191438 | 2.589994 | -0.164511 | 0.155707 | 0.338096 | -0.001333 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1149 | -0.438422 | -1.086676 | 1.238347 | 1.210187 | 0.085049 | 1.169781 | 0.054562 | -1.026167 | -0.961486 | -1.567907 | -0.517796 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | 1.415991 | -0.550208 | 0.155707 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1150 | -0.438422 | -0.210661 | 0.040941 | 1.086793 | 2.038524 | -0.660531 | -0.880361 | 1.785511 | -0.057788 | -1.567907 | -0.275145 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 0.606882 | -0.620189 | 0.338096 | 1.468189 | 2.973780 | -0.368715 | 1.647603 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1151 | -0.438422 | -0.977174 | -0.551565 | 2.197341 | 0.085049 | -0.660531 | -1.323220 | -2.432006 | -0.057788 | -1.567907 | -0.345476 | -1.078504 | 1.582663 | 2.346151 | -0.658973 | 0.241988 | -0.678774 | 1.707500 | -1.077862 | -0.327893 | -0.339394 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1152 | -0.438422 | -1.743687 | -0.635854 | -0.517332 | -1.868426 | 0.254625 | 1.530758 | 0.379672 | -0.961486 | 1.153254 | -0.719438 | -0.678049 | 0.762698 | -0.426230 | 0.266233 | -0.932014 | -1.064470 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1153 | 2.280906 | -2.072192 | -0.640813 | -0.764121 | -0.891688 | -0.660531 | 0.202182 | 0.379672 | -0.961486 | 1.153254 | -1.048355 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -1.450167 | -0.620189 | 1.754054 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 1154 | -0.438422 | 1.103362 | 0.925980 | 2.073946 | 1.061787 | 1.169781 | 1.579964 | 0.379672 | 2.653309 | 0.246200 | 2.795171 | 0.122861 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 2.021103 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.368715 | -1.155935 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1155 | -0.438422 | 0.227347 | -1.567997 | -0.764121 | -0.891688 | 0.254625 | 0.497421 | -1.026167 | -0.057788 | 0.246200 | -0.729637 | -1.078504 | -0.057267 | -0.426230 | 1.191438 | 0.241988 | -0.035946 | 0.155707 | 0.338096 | 0.488508 | 1.041095 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1156 | -0.438422 | 0.336849 | 0.202082 | 0.716610 | 0.085049 | -1.575686 | 0.694247 | -1.026167 | 0.845911 | 0.246200 | 0.835481 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 1.415991 | 0.864013 | -0.620189 | 0.338096 | 1.794749 | 2.973780 | 3.666880 | 2.208310 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1157 | -0.438422 | -0.210661 | -1.473791 | -0.147150 | 1.061787 | 0.254625 | -0.683535 | 0.379672 | -0.057788 | 0.246200 | -0.500373 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | 0.478316 | 1.707500 | 0.338096 | 1.141629 | 1.869389 | -0.058285 | 1.367249 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1158 | -0.438422 | 0.008343 | -0.325967 | 1.210187 | 0.085049 | 0.254625 | 0.940280 | 0.379672 | -0.057788 | 0.246200 | -0.156157 | 0.122861 | 0.489376 | -0.426230 | -1.584178 | 2.589994 | -0.293077 | -0.620189 | -1.077862 | -0.491174 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1159 | -0.438422 | 0.227347 | -0.226802 | -0.640727 | 0.085049 | -1.575686 | 0.743454 | 0.379672 | -0.057788 | 0.246200 | -0.310417 | -1.078504 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | -2.493820 | 0.325228 | -0.615492 | 0.252146 | 1.086895 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1160 | -0.438422 | 0.884358 | 1.305283 | -0.887515 | -0.891688 | 1.169781 | -0.339090 | -1.026167 | -0.057788 | 1.153254 | -0.155732 | -0.678049 | 1.036019 | -0.426230 | -1.584178 | 1.415991 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 0.764998 | 0.252146 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1161 | -0.438422 | 0.117845 | -1.005241 | -0.887515 | -0.891688 | 1.169781 | -0.585122 | -1.026167 | 0.845911 | 0.246200 | 0.266250 | 0.122861 | 1.036019 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | 2.483396 | 1.754054 | -0.327893 | -0.063296 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1162 | 2.280906 | -0.210661 | -0.162346 | 0.099639 | 0.085049 | 1.169781 | -0.535916 | -1.026167 | 0.845911 | -1.567907 | 0.808071 | 2.525591 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | 0.478316 | 0.155707 | 0.338096 | 0.978348 | 2.145487 | 1.183437 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1163 | -0.438422 | 0.008343 | 1.654836 | 0.099639 | 0.085049 | -0.660531 | 0.251388 | 0.379672 | -0.961486 | -0.660853 | -0.545418 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | -0.421642 | -0.620189 | -2.493820 | 0.161947 | -0.063296 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1164 | -0.438422 | 0.336849 | -0.878806 | 0.840004 | 0.085049 | 0.254625 | 0.891073 | 0.379672 | 0.845911 | 1.153254 | 0.306409 | 1.324226 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | 0.864013 | -0.620189 | -1.077862 | -0.491174 | -0.615492 | 0.252146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1165 | -0.438422 | 0.774856 | -0.497025 | -1.010909 | 2.038524 | -1.575686 | -1.421633 | 0.379672 | -0.057788 | 1.153254 | -0.161469 | 0.523316 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | 0.349751 | 0.155707 | 0.338096 | 0.488508 | 0.764998 | -0.679146 | -0.595227 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1166 | -0.438422 | 1.212863 | -1.084572 | -0.640727 | 2.038524 | 0.254625 | 1.137106 | -1.026167 | 1.749610 | 1.153254 | 1.848366 | -0.277594 | 2.675949 | 2.346151 | -0.658973 | 0.241988 | 1.506840 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1167 | 2.280906 | -0.210661 | -0.097889 | 0.716610 | -0.891688 | -1.575686 | -0.339090 | -2.432006 | -0.057788 | 1.153254 | -0.225850 | 1.324226 | -0.330589 | -0.426230 | 1.191438 | 1.415991 | -0.550208 | -0.620189 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1168 | -0.438422 | -1.415181 | -0.583793 | -0.887515 | -1.868426 | -1.575686 | -1.667666 | 0.379672 | -0.961486 | 1.153254 | -0.582814 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | -0.620189 | 0.338096 | -0.164613 | -0.339394 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1169 | -0.438422 | -1.086676 | -0.784600 | -0.147150 | 0.085049 | -0.660531 | 0.989486 | 1.785511 | -0.961486 | 0.246200 | -0.634447 | 1.724681 | 0.489376 | -0.426230 | -1.584178 | -0.932014 | -0.807339 | -2.171982 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1170 | -0.438422 | -1.086676 | -0.524295 | -0.887515 | 0.085049 | 1.169781 | 1.038693 | 0.379672 | -0.961486 | 1.153254 | -0.833539 | -0.277594 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | -2.171982 | -1.077862 | -0.491174 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1171 | 2.280906 | 0.336849 | 1.305283 | -0.270544 | 0.085049 | -1.575686 | 0.349801 | 0.379672 | -0.961486 | -1.567907 | -0.921505 | 0.122861 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | 0.155707 | -2.493820 | -0.491174 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1172 | -0.438422 | -0.867672 | -0.826745 | 0.099639 | 0.085049 | 0.254625 | -1.175601 | -1.026167 | -0.057788 | 0.246200 | -0.134697 | 2.525591 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1173 | -0.438422 | -0.101159 | -0.226802 | -0.517332 | 1.061787 | -0.660531 | -1.175601 | 0.379672 | 0.845911 | -1.567907 | 0.319795 | 0.523316 | -0.877232 | -0.426230 | 0.266233 | 1.415991 | -0.293077 | 2.483396 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1174 | -0.438422 | -1.305679 | -0.075577 | -0.887515 | -1.868426 | 1.169781 | 0.546627 | 1.785511 | -0.057788 | 0.246200 | -0.275570 | -0.678049 | 0.489376 | -0.426230 | 0.266233 | 1.415991 | -0.550208 | 2.483396 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1175 | -0.438422 | 0.227347 | -0.769726 | 0.346427 | 0.085049 | 1.169781 | 0.005356 | 0.379672 | -0.057788 | -0.660853 | -0.256660 | 0.523316 | 1.582663 | 2.346151 | 0.266233 | -0.932014 | -0.550208 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1176 | -0.438422 | 1.322365 | -1.243234 | 1.580370 | 1.061787 | -1.575686 | 0.300595 | 0.379672 | 1.749610 | -0.660853 | 2.105678 | 0.122861 | 0.216054 | -0.426230 | -0.658973 | 1.415991 | 2.021103 | -0.620189 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1177 | -0.438422 | 1.431867 | 0.026066 | 0.963398 | 2.038524 | 1.169781 | -0.781948 | -1.026167 | 0.845911 | -1.567907 | 1.437645 | 0.923771 | -0.057267 | -0.426230 | 0.266233 | 2.589994 | 0.992578 | 0.155707 | 0.338096 | 1.141629 | 1.869389 | -0.368715 | 1.927956 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1178 | -0.438422 | -1.853188 | 0.839212 | -0.887515 | 0.085049 | 0.254625 | -1.716872 | 0.379672 | -0.961486 | 0.246200 | -0.790406 | -0.678049 | 1.036019 | -0.426230 | -1.584178 | -0.932014 | -1.193036 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 1179 | -0.438422 | -0.320163 | 0.811941 | -0.764121 | 0.085049 | 1.169781 | 0.005356 | 0.379672 | -0.057788 | -0.660853 | -0.227338 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -0.035946 | -0.620189 | 0.338096 | 0.651788 | 1.041095 | 1.493867 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1180 | -0.438422 | -0.101159 | -1.218443 | -0.270544 | 0.085049 | -1.575686 | 0.546627 | 0.379672 | -0.961486 | -0.660853 | -0.954015 | -0.277594 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | 0.478316 | 0.931603 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1181 | -0.438422 | 1.322365 | -0.836662 | -0.393938 | -1.868426 | 0.254625 | -1.224807 | -1.026167 | 1.749610 | 0.246200 | 1.585743 | -0.277594 | 1.036019 | -0.426230 | -0.658973 | 0.241988 | 2.406799 | 0.155707 | 0.338096 | 1.304909 | 1.869389 | -0.058285 | 2.208310 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1182 | -0.438422 | -0.101159 | 0.226873 | -1.010909 | 1.061787 | 1.169781 | -1.618459 | -1.026167 | -0.057788 | 0.246200 | -0.452352 | -1.078504 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | -0.935905 | 2.483396 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1183 | -0.438422 | -0.101159 | 0.588822 | -0.764121 | -0.891688 | 1.169781 | 0.645041 | 1.785511 | -0.057788 | -1.567907 | 0.072045 | 1.324226 | 1.309341 | 2.346151 | -1.584178 | 0.241988 | 0.221185 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1184 | -0.438422 | 1.869874 | -0.541648 | 1.580370 | 2.038524 | -0.660531 | 1.235519 | 0.379672 | 1.749610 | 0.246200 | 2.320919 | 0.122861 | 2.675949 | 2.346151 | 0.266233 | 0.241988 | 3.178192 | 2.483396 | 0.338096 | 0.488508 | 1.041095 | 0.562576 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1185 | -0.438422 | 0.665354 | 1.211077 | 0.716610 | -0.891688 | 0.254625 | -0.043851 | -1.026167 | 1.749610 | 0.246200 | 2.358528 | -0.678049 | 2.402628 | 2.346151 | -1.584178 | 0.241988 | 0.349751 | 0.155707 | 0.338096 | 1.141629 | 1.593291 | 1.183437 | 1.927956 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1186 | 2.280906 | -0.210661 | 0.192166 | 0.346427 | 1.061787 | 1.169781 | -1.470840 | 0.379672 | -0.057788 | 1.153254 | -0.408369 | 0.122861 | 2.402628 | 2.346151 | -1.584178 | -0.932014 | 0.221185 | -0.620189 | 1.754054 | 0.651788 | 1.317193 | 1.183437 | 0.806541 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1187 | -0.438422 | 0.117845 | 0.958208 | -1.010909 | 0.085049 | 1.169781 | 1.186312 | 0.379672 | -0.057788 | 1.153254 | -0.375648 | 1.724681 | -0.057267 | -0.426230 | 1.191438 | 1.415991 | 0.992578 | 0.931603 | 1.754054 | 0.978348 | 1.869389 | -0.058285 | 1.367249 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1188 | -0.438422 | -0.867672 | 0.467346 | -0.517332 | 0.085049 | -1.575686 | -1.126394 | -1.026167 | -0.057788 | -0.660853 | -0.492086 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | -0.164511 | 0.155707 | -1.077862 | 0.488508 | -1.167687 | -0.679146 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1189 | -0.438422 | -0.429664 | -1.017636 | -0.887515 | 1.061787 | 1.169781 | 1.333932 | 0.379672 | -0.057788 | 1.153254 | -0.212039 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | 1.415991 | -0.678774 | 1.707500 | 0.338096 | -0.164613 | -0.615492 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1190 | -0.438422 | -0.539166 | 0.432639 | -0.887515 | 0.085049 | 1.169781 | -1.027981 | 0.379672 | -0.057788 | -0.660853 | -0.219476 | -1.078504 | -0.603911 | -0.426230 | 0.266233 | 1.415991 | -0.164511 | 0.931603 | -1.077862 | 0.325228 | 0.212802 | -0.368715 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1191 | -0.438422 | -0.648668 | 0.767318 | -0.517332 | 1.061787 | -1.575686 | 0.054562 | 0.379672 | -0.057788 | 1.153254 | -0.218201 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | 1.415991 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | -1.167687 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1192 | -0.438422 | 1.322365 | -0.839141 | 0.840004 | 0.085049 | 1.169781 | 0.399008 | 0.379672 | -0.961486 | -1.567907 | -0.832052 | 0.523316 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | 0.735447 | -0.620189 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1193 | -0.438422 | 0.117845 | -1.622537 | -0.887515 | 0.085049 | 1.169781 | -1.175601 | -1.026167 | -0.961486 | -0.660853 | -0.863286 | -0.678049 | 1.855984 | 2.346151 | -0.658973 | -0.932014 | -0.935905 | 0.155707 | 0.338096 | -0.491174 | -0.339394 | 0.252146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1194 | -0.438422 | 1.103362 | 1.047456 | -0.887515 | 1.061787 | -0.660531 | -0.929568 | 1.785511 | 1.749610 | -0.660853 | 2.011975 | 1.324226 | -0.330589 | -0.426230 | 0.266233 | 2.589994 | 2.278234 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1195 | -0.438422 | 1.322365 | 0.016150 | -1.010909 | 0.085049 | 0.254625 | -1.470840 | 0.379672 | 1.749610 | 0.246200 | 1.885975 | 0.523316 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | 1.506840 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1196 | -0.438422 | 0.446350 | 1.000353 | 1.703764 | -0.891688 | 1.169781 | 0.694247 | 0.379672 | 0.845911 | 0.246200 | 0.123040 | 0.122861 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | 1.249709 | -0.620189 | 0.338096 | -0.817734 | -1.167687 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1197 | -0.438422 | -1.853188 | -0.187137 | -0.023755 | -1.868426 | 1.169781 | -0.585122 | 0.379672 | -0.961486 | -1.567907 | -0.802092 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | -1.193036 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 1198 | -0.438422 | -0.429664 | -0.675520 | 0.840004 | 0.085049 | 0.254625 | -1.470840 | 0.379672 | -0.057788 | 1.153254 | -0.241149 | -0.678049 | 2.675949 | 2.346151 | 0.266233 | 0.241988 | -0.550208 | -0.620189 | 0.338096 | -0.164613 | 0.212802 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1199 | -0.438422 | -0.101159 | 1.359823 | 2.073946 | 1.061787 | -1.575686 | 0.694247 | 0.379672 | -0.057788 | 0.246200 | -0.245611 | 1.324226 | -0.330589 | -0.426230 | -0.658973 | 1.415991 | -0.164511 | -0.620189 | -1.077862 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1200 | -0.438422 | 0.774856 | -0.680478 | -1.010909 | 0.085049 | 0.254625 | -1.077188 | 0.379672 | -0.961486 | 1.153254 | -0.702865 | 0.523316 | 0.762698 | -0.426230 | -1.584178 | 2.589994 | -0.421642 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1201 | 2.280906 | -1.524683 | 1.282971 | -0.147150 | -1.868426 | 1.169781 | 1.333932 | -1.026167 | -0.961486 | 0.246200 | -0.534157 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | -0.807339 | -0.620189 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1202 | -0.438422 | 0.117845 | 1.716814 | -0.640727 | -0.891688 | 1.169781 | 1.038693 | 0.379672 | -0.961486 | 0.246200 | -0.679280 | 1.724681 | 1.036019 | -0.426230 | 1.191438 | 0.241988 | -0.550208 | 1.707500 | -1.077862 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1203 | -0.438422 | 1.760373 | 1.468903 | 1.827158 | 1.061787 | -0.660531 | -0.880361 | 1.785511 | 0.845911 | 1.153254 | 0.106679 | 0.122861 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | -0.035946 | -0.620189 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1204 | 2.280906 | 1.212863 | -0.234240 | -0.270544 | -0.891688 | 1.169781 | 1.432345 | 0.379672 | -0.961486 | 0.246200 | -0.817603 | -0.277594 | -1.150554 | -0.426230 | 0.266233 | 1.415991 | 0.992578 | 0.155707 | 0.338096 | 0.325228 | 0.764998 | 1.493867 | 0.806541 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 |
| 1205 | 2.280906 | -0.539166 | 1.131746 | -0.887515 | 1.061787 | 1.169781 | 1.432345 | 0.379672 | -0.961486 | -0.660853 | -1.085751 | -0.678049 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1206 | -0.438422 | -1.196177 | -0.040870 | -0.270544 | 0.085049 | 1.169781 | 0.497421 | 0.379672 | -0.961486 | 1.153254 | -0.835664 | -0.678049 | 1.309341 | 2.346151 | 0.266233 | -0.932014 | -0.550208 | 1.707500 | 0.338096 | -0.001333 | 0.764998 | 0.873006 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1207 | -0.438422 | 1.979376 | 1.582942 | 1.580370 | 0.085049 | -1.575686 | 1.383138 | -1.026167 | -0.961486 | -0.660853 | -0.630197 | 0.923771 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | -0.421642 | -1.396086 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1208 | -0.438422 | -0.320163 | 0.878877 | -0.517332 | -0.891688 | -0.660531 | -0.437503 | -1.026167 | -0.057788 | 1.153254 | -0.534794 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 0.478316 | 0.155707 | 1.754054 | 1.304909 | 1.593291 | 0.562576 | 2.488664 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1209 | -0.438422 | 2.526886 | -1.072176 | -1.010909 | 1.061787 | 0.254625 | 1.284725 | -2.432006 | 0.845911 | 1.153254 | 0.930671 | 0.122861 | 1.309341 | 2.346151 | 0.266233 | 0.241988 | 0.992578 | -0.620189 | 1.754054 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1210 | -0.438422 | -0.429664 | -1.327524 | 1.456975 | 0.085049 | -0.660531 | 0.645041 | 1.785511 | -0.961486 | -0.660853 | -0.950827 | -0.678049 | 0.762698 | -0.426230 | 1.191438 | 2.589994 | 0.349751 | 2.483396 | 0.338096 | 1.141629 | 1.869389 | -0.058285 | 2.488664 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1211 | -0.438422 | 0.008343 | 1.178849 | -1.010909 | 1.061787 | 0.254625 | -1.716872 | -2.432006 | -0.057788 | 1.153254 | 0.642125 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | 1.415991 | -0.678774 | -0.620189 | -1.077862 | -0.164613 | -0.339394 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1212 | -0.438422 | -0.320163 | -0.308613 | 1.210187 | 0.085049 | -0.660531 | -1.520046 | -1.026167 | -0.961486 | 1.153254 | -0.759384 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 1.317193 | 1.804297 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1213 | 2.280906 | -1.524683 | -0.930867 | -0.270544 | 0.085049 | 0.254625 | 1.629171 | 0.379672 | -0.961486 | 1.153254 | -0.898345 | -0.678049 | 1.582663 | 2.346151 | -0.658973 | 0.241988 | -1.064470 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 |
| 1214 | -0.438422 | 0.774856 | 0.293809 | -0.887515 | 0.085049 | 0.254625 | 1.481551 | 1.785511 | 0.845911 | 1.153254 | 0.292385 | -0.678049 | 1.036019 | -0.426230 | -0.658973 | 0.241988 | -0.293077 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | 1.183437 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1215 | -0.438422 | -0.210661 | -1.627495 | -0.887515 | 1.061787 | -1.575686 | 0.645041 | -1.026167 | -0.961486 | 1.153254 | -0.334214 | -1.078504 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | -0.620189 | 1.754054 | -0.327893 | -0.063296 | -0.368715 | -0.034520 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1216 | -0.438422 | 0.665354 | 0.933417 | -0.887515 | 0.085049 | 1.169781 | 0.349801 | 0.379672 | -0.057788 | 1.153254 | 0.285586 | -0.678049 | 0.489376 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 1.317193 | 1.804297 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1217 | -0.438422 | -1.415181 | -0.549086 | -0.023755 | 0.085049 | 0.254625 | -0.191470 | 1.785511 | -0.961486 | 0.246200 | -0.446616 | -0.678049 | 0.216054 | -0.426230 | 1.191438 | 0.241988 | -0.807339 | -1.396086 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1218 | -0.438422 | 0.446350 | 0.286372 | -0.393938 | 0.085049 | 1.169781 | -1.520046 | 0.379672 | 0.845911 | 0.246200 | 0.581781 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | 1.041095 | 1.804297 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1219 | -0.438422 | -0.867672 | 0.692944 | -0.023755 | 1.061787 | 1.169781 | -1.126394 | 0.379672 | -0.961486 | 0.246200 | -0.749823 | 2.525591 | 0.489376 | -0.426230 | 0.266233 | 0.241988 | -0.293077 | -0.620189 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1220 | -0.438422 | -0.101159 | -0.675520 | -0.887515 | 1.061787 | 0.254625 | -0.732742 | 0.379672 | -0.057788 | 1.153254 | -0.425155 | 0.122861 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | 0.735447 | -0.620189 | -1.077862 | 0.978348 | 0.764998 | 1.183437 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 1221 | -0.438422 | 0.884358 | 1.079684 | -1.010909 | -1.868426 | 0.254625 | 0.399008 | -1.026167 | 0.845911 | 0.246200 | 0.901986 | 0.122861 | 2.129306 | 2.346151 | 1.191438 | 0.241988 | 1.763972 | 0.155707 | -1.077862 | 2.611150 | 2.973780 | 3.666880 | -0.034520 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1222 | 2.280906 | -1.415181 | -1.394460 | 1.580370 | -1.868426 | 1.169781 | -0.388296 | -2.432006 | -0.961486 | 0.246200 | -1.051330 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1223 | 2.280906 | 1.103362 | 0.720215 | -0.023755 | 0.085049 | 0.254625 | 0.792660 | -2.432006 | 1.749610 | 0.246200 | 1.366890 | 1.724681 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | 1.763972 | 0.155707 | -2.493820 | 2.611150 | 0.212802 | 3.666880 | 1.647603 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1224 | -0.438422 | -1.196177 | -1.022594 | 0.963398 | 1.061787 | 1.169781 | -0.191470 | -2.432006 | -0.961486 | 0.246200 | -0.891971 | -0.678049 | -0.057267 | -0.426230 | 0.266233 | 2.589994 | -1.064470 | 0.155707 | 1.754054 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1225 | -0.438422 | 0.884358 | 0.502054 | 2.320735 | -0.891688 | 1.169781 | -0.880361 | -1.026167 | 1.749610 | -0.660853 | 2.167509 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | 1.249709 | -0.620189 | 0.338096 | 2.284590 | 0.488900 | 1.804297 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1226 | -0.438422 | -0.539166 | -0.539169 | 0.099639 | 0.085049 | -1.575686 | -0.486709 | 0.379672 | -0.961486 | 0.246200 | -0.652295 | 1.324226 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | 0.155707 | -1.077862 | -0.327893 | -0.615492 | -0.368715 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1227 | -0.438422 | -0.648668 | -0.152429 | -0.887515 | 1.061787 | -0.660531 | 0.152975 | 0.379672 | -0.961486 | 0.246200 | -0.642946 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | -0.620189 | 1.754054 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1228 | -0.438422 | 0.446350 | -0.620980 | -0.640727 | 0.085049 | 0.254625 | -0.289883 | -2.432006 | -0.057788 | -0.660853 | -0.015496 | 1.324226 | 1.036019 | -0.426230 | -0.658973 | 0.241988 | -0.164511 | 0.931603 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1229 | -0.438422 | 0.336849 | -1.074655 | -0.147150 | -0.891688 | -0.660531 | 1.284725 | 0.379672 | -0.057788 | -1.567907 | 0.002777 | -0.277594 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | 0.864013 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1230 | -0.438422 | -1.415181 | -0.735018 | 2.444129 | -1.868426 | -0.660531 | 1.235519 | 0.379672 | -0.961486 | -1.567907 | -0.551580 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | 2.589994 | -0.678774 | -0.620189 | 1.754054 | -0.164613 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1231 | -0.438422 | 0.993860 | -0.211928 | 0.469821 | 1.061787 | 0.254625 | -1.569253 | 0.379672 | -0.057788 | -0.660853 | -0.199928 | 1.324226 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | 0.992578 | 0.155707 | 0.338096 | 0.488508 | 0.764998 | -0.679146 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1232 | -0.438422 | -0.210661 | 1.406926 | 2.197341 | 1.061787 | 1.169781 | -0.831155 | 0.379672 | -0.057788 | 0.246200 | 0.080756 | -0.277594 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | 0.735447 | 0.155707 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1233 | -0.438422 | -0.758170 | -0.023516 | 0.840004 | -1.868426 | -0.660531 | -1.618459 | 0.379672 | -0.961486 | 1.153254 | -0.773620 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -0.164511 | -0.620189 | -1.077862 | 0.488508 | -1.167687 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1234 | -0.438422 | 1.103362 | -0.643292 | -0.887515 | 1.061787 | 0.254625 | 1.038693 | 0.379672 | -0.057788 | -0.660853 | -0.324015 | 1.724681 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | -0.935905 | 0.155707 | -2.493820 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1235 | -0.438422 | 0.993860 | 1.176369 | -0.887515 | 0.085049 | 0.254625 | 0.399008 | 0.379672 | 0.845911 | 1.153254 | 0.821245 | 0.523316 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | 0.221185 | 1.707500 | -1.077862 | 0.488508 | 0.488900 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1236 | 2.280906 | -0.101159 | 1.620129 | 0.469821 | 2.038524 | -0.660531 | 1.481551 | -1.026167 | -0.057788 | -1.567907 | -0.078390 | 0.923771 | -0.603911 | -0.426230 | -0.658973 | 2.589994 | 0.606882 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1237 | 2.280906 | -0.539166 | 0.400410 | -1.010909 | -0.891688 | -1.575686 | -1.569253 | -2.432006 | -0.057788 | -0.660853 | 0.049310 | 1.324226 | -0.057267 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1238 | -0.438422 | -1.524683 | -1.592788 | -0.640727 | -1.868426 | 0.254625 | -0.732742 | 0.379672 | -0.961486 | -0.660853 | -0.681617 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -1.064470 | 0.155707 | -2.493820 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1239 | -0.438422 | -0.648668 | -1.585350 | 1.827158 | -1.868426 | 1.169781 | -1.766079 | 0.379672 | -0.057788 | 1.153254 | -0.268771 | -0.277594 | 1.309341 | 2.346151 | 1.191438 | -0.932014 | -0.293077 | 0.155707 | -1.077862 | -0.327893 | -0.063296 | -0.368715 | -0.034520 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1240 | -0.438422 | 0.227347 | -0.025995 | -1.010909 | 0.085049 | 1.169781 | 0.546627 | 0.379672 | -0.057788 | 1.153254 | -0.006572 | -0.678049 | -0.057267 | -0.426230 | 1.191438 | 0.241988 | -0.293077 | -0.620189 | 0.338096 | 0.325228 | 1.041095 | 0.873006 | 1.086895 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1241 | -0.438422 | -0.539166 | -1.069697 | 1.210187 | 0.085049 | 1.169781 | 0.694247 | -2.432006 | 0.845911 | 0.246200 | 0.660186 | 0.122861 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | -0.620189 | -2.493820 | -0.491174 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1242 | -0.438422 | 0.336849 | -0.474713 | -0.270544 | 1.061787 | -0.660531 | 1.087899 | 0.379672 | 2.653309 | -0.660853 | 2.832355 | -0.678049 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | 1.249709 | 0.155707 | -1.077862 | 2.284590 | 1.041095 | 3.046019 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1243 | -0.438422 | 0.884358 | -1.553122 | -0.640727 | 0.085049 | 0.254625 | -0.486709 | -2.432006 | 0.845911 | 0.246200 | 0.691208 | 0.523316 | 1.582663 | 2.346151 | 0.266233 | 1.415991 | -0.293077 | -0.620189 | 1.754054 | -0.327893 | -1.167687 | -0.679146 | -0.314873 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1244 | -0.438422 | -0.758170 | 1.263138 | -0.887515 | 1.061787 | 1.169781 | 0.595834 | -1.026167 | -0.961486 | -1.567907 | -0.326140 | -1.078504 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.325228 | 0.764998 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1245 | -0.438422 | -1.415181 | 0.234311 | 0.099639 | 0.085049 | -1.575686 | -0.339090 | 0.379672 | -0.961486 | 1.153254 | -0.925967 | -1.078504 | -0.330589 | -0.426230 | 1.191438 | 0.241988 | -1.064470 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.875581 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1246 | 2.280906 | -0.758170 | -0.501983 | -0.147150 | 0.085049 | 0.254625 | 0.005356 | -1.026167 | -0.961486 | 1.153254 | -0.918531 | 1.324226 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.678774 | -2.171982 | -1.077862 | -0.491174 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1247 | -0.438422 | -0.648668 | 0.497095 | -0.517332 | 0.085049 | -1.575686 | -0.732742 | 0.379672 | -0.057788 | 0.246200 | 0.391613 | -0.678049 | 1.036019 | -0.426230 | 0.266233 | 0.241988 | -0.678774 | 0.155707 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1248 | -0.438422 | -1.086676 | 0.623530 | -0.147150 | 0.085049 | 0.254625 | 0.054562 | 0.379672 | -0.961486 | 1.153254 | -0.649745 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 1.707500 | -1.077862 | -0.164613 | -0.615492 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1249 | 2.280906 | -0.867672 | -0.928388 | -0.023755 | 0.085049 | -0.660531 | -0.683535 | -2.432006 | -0.961486 | -0.660853 | -0.795293 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -1.193036 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 1250 | -0.438422 | -0.867672 | -0.846578 | -1.010909 | 0.085049 | 1.169781 | 0.202182 | 1.785511 | -0.057788 | 0.246200 | -0.044393 | 2.125136 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | 1.707500 | 1.754054 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1251 | -0.438422 | -0.758170 | 0.437597 | 0.716610 | -0.891688 | 0.254625 | 1.383138 | -1.026167 | 0.845911 | -1.567907 | 0.135364 | -0.277594 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | 0.092620 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1252 | -0.438422 | -0.320163 | -1.540727 | -0.887515 | 1.061787 | 1.169781 | 1.530758 | 1.785511 | -0.961486 | 1.153254 | -0.758747 | -1.078504 | -0.330589 | -0.426230 | -1.584178 | 2.589994 | -0.678774 | 0.155707 | 0.338096 | -0.327893 | -1.167687 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1253 | -0.438422 | -0.429664 | 1.191244 | -0.887515 | 0.085049 | 1.169781 | -0.191470 | 0.379672 | -0.057788 | -0.660853 | -0.288106 | 2.125136 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | 0.221185 | -0.620189 | -1.077862 | 0.651788 | 0.764998 | -0.368715 | 0.806541 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1254 | -0.438422 | 1.322365 | 1.265617 | 0.223033 | 1.061787 | 1.169781 | 0.694247 | 0.379672 | -0.057788 | 1.153254 | -0.424093 | 0.122861 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -0.421642 | -1.396086 | 1.754054 | -0.327893 | -0.891589 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1255 | 2.280906 | -0.429664 | -1.466354 | 0.840004 | 0.085049 | -1.575686 | 0.399008 | 0.379672 | 0.845911 | -1.567907 | 0.437933 | -0.277594 | 1.309341 | 2.346151 | 0.266233 | -0.932014 | -0.035946 | -0.620189 | -1.077862 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1256 | -0.438422 | 0.117845 | -0.516857 | -0.887515 | -0.891688 | 0.254625 | 0.448214 | -1.026167 | -0.961486 | -0.660853 | -0.857337 | 0.523316 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | -0.293077 | 0.931603 | -1.077862 | -0.164613 | -0.891589 | -0.679146 | 0.245834 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1257 | 2.280906 | -0.648668 | 0.685507 | 0.840004 | 1.061787 | -1.575686 | 0.202182 | 0.379672 | 0.845911 | 0.246200 | 0.352304 | -0.277594 | -0.603911 | -0.426230 | -1.584178 | 2.589994 | -0.164511 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1258 | -0.438422 | -0.867672 | -0.526774 | -0.640727 | 0.085049 | 1.169781 | 1.235519 | -1.026167 | -0.961486 | -1.567907 | -0.933617 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1259 | -0.438422 | -0.758170 | -1.233318 | 0.840004 | 0.085049 | 0.254625 | -0.388296 | 1.785511 | -0.057788 | 0.246200 | -0.256872 | 0.122861 | 0.216054 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | -0.001333 | -1.167687 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1260 | -0.438422 | -0.539166 | 0.373140 | -0.517332 | 1.061787 | -0.660531 | -0.043851 | 0.379672 | -0.961486 | -0.660853 | -0.804217 | -0.277594 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | 0.092620 | 0.155707 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1261 | -0.438422 | 0.117845 | 0.075648 | 1.086793 | 0.085049 | -0.660531 | -0.289883 | -2.432006 | -0.057788 | 1.153254 | -0.147021 | 0.122861 | 0.216054 | -0.426230 | 0.266233 | 0.241988 | 0.478316 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1262 | 2.280906 | 0.665354 | 0.011191 | 0.963398 | 0.085049 | 0.254625 | -1.372427 | -1.026167 | -0.961486 | 0.246200 | -0.863924 | 2.525591 | 0.216054 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | 0.931603 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1263 | -0.438422 | 0.555852 | 0.130188 | 0.346427 | 0.085049 | -0.660531 | -0.437503 | 0.379672 | -0.961486 | -0.660853 | -0.794018 | 2.125136 | 1.855984 | 2.346151 | -0.658973 | 2.589994 | -0.550208 | 2.483396 | -1.077862 | -0.327893 | -0.339394 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1264 | -0.438422 | 1.979376 | -0.804433 | -0.887515 | 0.085049 | 0.254625 | -0.289883 | -1.026167 | 2.653309 | -1.567907 | 2.663434 | 2.125136 | -0.877232 | -0.426230 | -0.658973 | 2.589994 | 2.921061 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1265 | -0.438422 | -0.429664 | -0.068140 | -0.640727 | 0.085049 | 1.169781 | 1.186312 | 0.379672 | -0.057788 | -0.660853 | -0.732612 | 0.923771 | -0.057267 | -0.426230 | 1.191438 | 1.415991 | -0.035946 | -0.620189 | -1.077862 | 0.325228 | 1.041095 | -0.368715 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1266 | -0.438422 | 0.446350 | -0.630896 | -0.023755 | 1.061787 | 0.254625 | 1.383138 | 0.379672 | -0.961486 | -1.567907 | -0.895370 | -0.678049 | 1.309341 | 2.346151 | -0.658973 | 1.415991 | -0.807339 | -0.620189 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1267 | -0.438422 | -0.320163 | 1.419321 | 0.099639 | 0.085049 | 1.169781 | 1.038693 | 0.379672 | -0.057788 | 0.246200 | -0.531607 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 0.478316 | 0.155707 | 0.338096 | 1.304909 | 2.697683 | -0.679146 | 0.806541 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1268 | -0.438422 | 1.760373 | -0.350758 | -1.010909 | 1.061787 | -1.575686 | -0.289883 | -1.026167 | 1.749610 | 0.246200 | 1.373052 | 0.523316 | 1.309341 | 2.346151 | 1.191438 | 2.589994 | 2.021103 | -0.620189 | -1.077862 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1269 | -0.438422 | 0.665354 | -1.384543 | -0.887515 | 0.085049 | -0.660531 | 1.530758 | 0.379672 | -0.961486 | 1.153254 | -0.629772 | -1.078504 | -0.603911 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | 1.707500 | 0.338096 | 0.325228 | 0.764998 | -0.368715 | 1.086895 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1270 | -0.438422 | -0.320163 | -0.722623 | -0.764121 | -0.891688 | 1.169781 | -1.667666 | -2.432006 | -0.057788 | 1.153254 | -0.100700 | 0.923771 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1271 | 2.280906 | -1.743687 | -1.153987 | -0.270544 | -1.868426 | -0.660531 | -1.716872 | 0.379672 | -0.961486 | -0.660853 | -0.812504 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | -0.932014 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 1272 | -0.438422 | 0.117845 | 0.868961 | -0.393938 | -0.891688 | 1.169781 | -1.274014 | -1.026167 | -0.961486 | 0.246200 | -0.595138 | -0.678049 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | -0.807339 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1273 | 2.280906 | -1.634185 | 1.218514 | -0.147150 | -1.868426 | 0.254625 | 0.645041 | 0.379672 | -0.961486 | -1.567907 | -0.872210 | -0.678049 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | -1.321601 | 2.483396 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1274 | -0.438422 | -0.648668 | -1.503540 | 2.444129 | 1.061787 | -1.575686 | 1.235519 | -1.026167 | -0.057788 | 1.153254 | -0.219901 | -0.678049 | -0.330589 | -0.426230 | -1.584178 | 1.415991 | 0.221185 | 0.155707 | 0.338096 | 0.815068 | 0.764998 | 0.873006 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1275 | -0.438422 | 1.541369 | 0.345870 | -0.764121 | 0.085049 | -1.575686 | -0.634329 | 0.379672 | 0.845911 | 0.246200 | 1.405136 | -0.277594 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | 0.478316 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1276 | -0.438422 | 0.008343 | -0.529253 | -0.023755 | -0.891688 | -0.660531 | -0.978775 | -1.026167 | -0.057788 | -0.660853 | -0.491661 | -0.678049 | -0.330589 | -0.426230 | -1.584178 | 1.415991 | -0.807339 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1277 | -0.438422 | 0.993860 | -0.169783 | -0.887515 | 1.061787 | 0.254625 | -0.978775 | 0.379672 | 2.653309 | 1.153254 | 2.725053 | 1.724681 | 0.489376 | -0.426230 | 0.266233 | 0.241988 | 1.635406 | 0.155707 | 0.338096 | -0.817734 | -0.891589 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1278 | -0.438422 | -0.101159 | 1.439154 | 0.099639 | 0.085049 | 1.169781 | 1.186312 | 0.379672 | 0.845911 | -1.567907 | 0.386301 | 1.724681 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | 0.478316 | -1.396086 | 0.338096 | 0.815068 | 1.041095 | 0.873006 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1279 | 2.280906 | 0.774856 | -0.925909 | -1.010909 | -0.891688 | 0.254625 | 1.629171 | 0.379672 | -0.961486 | -0.660853 | -0.884109 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 2.589994 | -0.678774 | -0.620189 | -1.077862 | -0.327893 | -0.339394 | -0.058285 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1280 | -0.438422 | 0.008343 | 1.082164 | -0.147150 | -0.891688 | 0.254625 | 1.137106 | 0.379672 | -0.057788 | -0.660853 | -0.516733 | -0.277594 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | 0.992578 | 0.931603 | -1.077862 | 0.488508 | -1.167687 | 0.562576 | 0.806541 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1281 | 2.280906 | -0.210661 | -1.238276 | 2.197341 | 0.085049 | 0.254625 | 0.891073 | 0.379672 | -0.057788 | 1.153254 | -0.146596 | -0.678049 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 0.764998 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1282 | -0.438422 | -0.429664 | 0.159938 | -0.147150 | 1.061787 | 1.169781 | 1.186312 | 1.785511 | -0.961486 | -1.567907 | -0.713914 | 1.324226 | 1.036019 | -0.426230 | -0.658973 | 0.241988 | 0.349751 | -1.396086 | 0.338096 | 0.488508 | 1.041095 | 1.493867 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1283 | -0.438422 | -0.977174 | 0.938376 | -1.010909 | 0.085049 | 0.254625 | 0.792660 | 0.379672 | -0.961486 | 1.153254 | -0.947428 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.807339 | 2.483396 | 1.754054 | -0.327893 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1284 | -0.438422 | 0.227347 | 1.116871 | 0.099639 | -1.868426 | 0.254625 | -0.043851 | 0.379672 | 0.845911 | 0.246200 | 1.479078 | 1.724681 | 1.582663 | 2.346151 | 0.266233 | -0.932014 | -0.293077 | 0.155707 | 0.338096 | -0.491174 | -0.339394 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1285 | -0.438422 | 0.993860 | 0.115314 | 2.073946 | -0.891688 | -0.660531 | 1.579964 | -1.026167 | -0.057788 | -0.660853 | 0.316183 | 2.125136 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1286 | -0.438422 | 0.336849 | -0.462317 | -0.887515 | -0.891688 | 0.254625 | 1.629171 | 0.379672 | -0.961486 | -1.567907 | -0.664194 | 0.523316 | 0.489376 | -0.426230 | 1.191438 | 0.241988 | -0.550208 | 1.707500 | -1.077862 | -0.491174 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1287 | -0.438422 | 0.555852 | 0.806983 | 0.469821 | 0.085049 | -0.660531 | 1.432345 | 1.785511 | -0.057788 | -1.567907 | -0.205027 | 0.923771 | 0.762698 | -0.426230 | 0.266233 | 1.415991 | -0.164511 | -0.620189 | -1.077862 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1288 | -0.438422 | -0.210661 | 0.935897 | -0.887515 | -0.891688 | -0.660531 | 1.186312 | 0.379672 | -0.057788 | 1.153254 | -0.157432 | -0.277594 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 0.478316 | 2.483396 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1289 | -0.438422 | 0.117845 | 1.322636 | -0.887515 | 0.085049 | -1.575686 | 1.678377 | 0.379672 | -0.961486 | -0.660853 | -0.830989 | 0.923771 | -0.603911 | -0.426230 | 1.191438 | 2.589994 | 0.221185 | 0.155707 | 0.338096 | 0.651788 | 1.593291 | 0.252146 | 1.086895 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1290 | 2.280906 | -0.320163 | -1.409334 | -0.023755 | 1.061787 | 1.169781 | 1.333932 | 0.379672 | -0.057788 | -1.567907 | -0.245823 | 0.523316 | 0.489376 | -0.426230 | 0.266233 | 0.241988 | -0.035946 | 0.155707 | -1.077862 | -0.001333 | -0.891589 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1291 | 2.280906 | 0.008343 | -1.072176 | 0.099639 | 1.061787 | 1.169781 | -0.388296 | 0.379672 | -0.057788 | -1.567907 | -0.486562 | -0.678049 | -0.057267 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | 0.931603 | -2.493820 | 0.488508 | -0.339394 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1292 | -0.438422 | 0.227347 | -0.090452 | 1.333581 | 0.085049 | 0.254625 | 0.841867 | 0.379672 | -0.057788 | 1.153254 | -0.504835 | -0.277594 | 0.762698 | -0.426230 | 1.191438 | 0.241988 | -0.550208 | 2.483396 | 0.338096 | -0.817734 | -0.891589 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1293 | -0.438422 | 0.665354 | -1.139112 | -0.023755 | 0.085049 | -1.575686 | -0.683535 | 0.379672 | -0.961486 | 0.246200 | -0.863711 | 0.523316 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.550208 | -0.620189 | -1.077862 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1294 | -0.438422 | 0.446350 | -0.881285 | -0.517332 | 0.085049 | -0.660531 | 0.940280 | 1.785511 | -0.057788 | -0.660853 | 0.077994 | 0.122861 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -0.035946 | 0.155707 | -2.493820 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1295 | -0.438422 | 0.446350 | -0.016079 | -0.640727 | -1.868426 | 0.254625 | 0.743454 | 0.379672 | 0.845911 | 0.246200 | 0.838030 | -1.078504 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | 1.506840 | 0.155707 | 1.754054 | 2.447870 | 2.697683 | 3.356449 | 0.245834 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1296 | -0.438422 | -0.758170 | 0.717736 | 0.099639 | 0.085049 | -1.575686 | -0.093057 | 0.379672 | 0.845911 | 0.246200 | 0.672297 | 2.525591 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.293077 | 0.155707 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1297 | 2.280906 | -1.196177 | 0.291330 | 1.333581 | -0.891688 | 1.169781 | 0.152975 | 0.379672 | -0.961486 | -0.660853 | -0.925330 | -1.078504 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.327893 | -0.891589 | -0.368715 | -0.034520 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1298 | 2.280906 | 0.993860 | -1.342398 | 1.456975 | -0.891688 | 1.169781 | 0.005356 | 0.379672 | -0.057788 | -0.660853 | 0.514850 | 0.523316 | 1.855984 | 2.346151 | 1.191438 | 0.241988 | 0.221185 | -0.620189 | 1.754054 | 0.325228 | 0.764998 | 0.252146 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1299 | -0.438422 | 0.336849 | 0.970604 | -1.010909 | 0.085049 | 0.254625 | -0.683535 | 0.379672 | -0.057788 | 1.153254 | 0.002139 | 0.523316 | 0.489376 | -0.426230 | 1.191438 | 0.241988 | 0.092620 | 0.155707 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1300 | -0.438422 | -0.320163 | 0.018629 | -0.147150 | -0.891688 | -0.660531 | 1.284725 | 1.785511 | -0.057788 | 0.246200 | 0.062908 | -0.678049 | 1.582663 | 2.346151 | 0.266233 | 1.415991 | -0.164511 | 1.707500 | 0.338096 | 0.488508 | 1.041095 | 0.562576 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1301 | -0.438422 | 2.307882 | -1.121758 | -0.887515 | 0.085049 | -0.660531 | -0.683535 | 0.379672 | 1.749610 | -0.660853 | 2.079756 | 0.523316 | 1.855984 | 2.346151 | 1.191438 | 0.241988 | 3.306758 | -2.171982 | -1.077862 | 1.468189 | 1.317193 | 3.666880 | 2.769018 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1302 | -0.438422 | -0.210661 | -1.530810 | 1.703764 | 1.061787 | -0.660531 | 1.235519 | -2.432006 | -0.961486 | 0.246200 | -0.806979 | -1.078504 | 0.216054 | -0.426230 | -0.658973 | 0.241988 | -0.678774 | -0.620189 | 1.754054 | -0.327893 | -0.063296 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1303 | -0.438422 | 1.103362 | 0.492137 | -0.640727 | 0.085049 | 0.254625 | 1.284725 | -1.026167 | 0.845911 | -0.660853 | 0.813808 | 2.125136 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | 2.149668 | 0.931603 | 0.338096 | 2.447870 | 1.869389 | 3.666880 | 1.647603 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1304 | -0.438422 | 0.336849 | -0.130117 | 0.346427 | 0.085049 | -0.660531 | -0.929568 | 0.379672 | -0.057788 | -1.567907 | -0.436629 | -0.277594 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | 0.478316 | 0.155707 | 0.338096 | -0.001333 | -0.063296 | 1.493867 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1305 | -0.438422 | 1.869874 | -0.920951 | -0.270544 | 1.061787 | 1.169781 | 0.103769 | 0.379672 | -0.057788 | 1.153254 | 0.074595 | 0.523316 | -0.057267 | -0.426230 | -0.658973 | 0.241988 | 0.349751 | -0.620189 | -1.077862 | -0.001333 | -0.891589 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1306 | -0.438422 | -0.648668 | 0.799546 | -0.270544 | 1.061787 | -1.575686 | 0.103769 | 0.379672 | 0.845911 | -1.567907 | 0.665923 | -0.277594 | -0.330589 | -0.426230 | 1.191438 | 1.415991 | -0.293077 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1307 | -0.438422 | -0.977174 | 1.027623 | -1.010909 | 0.085049 | 0.254625 | 0.054562 | 0.379672 | -0.961486 | -1.567907 | -0.618723 | -0.678049 | 2.675949 | 2.346151 | 0.266233 | 0.241988 | -1.064470 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1308 | -0.438422 | 0.117845 | -0.197053 | -0.887515 | 1.061787 | -0.660531 | 0.546627 | -2.432006 | -0.057788 | 1.153254 | -0.233287 | -0.277594 | 1.309341 | 2.346151 | -1.584178 | 1.415991 | 1.121144 | 0.931603 | -1.077862 | -0.491174 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 |
| 1309 | -0.438422 | -1.196177 | -0.571398 | 0.099639 | 0.085049 | 0.254625 | -0.978775 | 0.379672 | -0.057788 | 1.153254 | -0.386484 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | -0.807339 | 0.931603 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1310 | -0.438422 | 2.307882 | 1.025144 | 0.716610 | 1.061787 | -1.575686 | 1.038693 | 0.379672 | 1.749610 | 0.246200 | 1.972666 | -0.277594 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | 1.506840 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1311 | -0.438422 | -2.072192 | 1.558151 | 0.593216 | 0.085049 | -0.660531 | -1.618459 | 0.379672 | -0.961486 | 0.246200 | -1.060041 | -0.678049 | 0.216054 | -0.426230 | 0.266233 | -0.932014 | -1.450167 | 0.931603 | -2.493820 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1312 | 2.280906 | -0.648668 | -1.099446 | 1.086793 | 2.038524 | 1.169781 | 1.137106 | 1.785511 | -0.961486 | -1.567907 | -0.753647 | -1.078504 | 0.489376 | -0.426230 | 0.266233 | -0.932014 | -1.193036 | 0.931603 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1313 | 2.280906 | -0.867672 | -1.121758 | 0.469821 | 0.085049 | -1.575686 | -0.486709 | -1.026167 | -0.961486 | -1.567907 | -0.885596 | 0.523316 | -0.057267 | -0.426230 | 1.191438 | 2.589994 | -0.935905 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -1.155935 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1314 | -0.438422 | 0.884358 | -0.529253 | -0.887515 | 1.061787 | 0.254625 | 0.054562 | 0.379672 | -0.057788 | 0.246200 | -0.286619 | 0.523316 | 1.855984 | 2.346151 | -0.658973 | 1.415991 | -0.164511 | 0.155707 | 1.754054 | 0.161947 | 0.764998 | 0.873006 | 0.806541 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1315 | -0.438422 | -0.101159 | -0.923430 | -0.887515 | 1.061787 | 1.169781 | 0.349801 | 0.379672 | -0.057788 | -0.660853 | 0.097542 | 0.523316 | 1.855984 | 2.346151 | 1.191438 | 0.241988 | 0.478316 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1316 | -0.438422 | 0.665354 | 1.535839 | -0.887515 | 1.061787 | -1.575686 | 1.284725 | 0.379672 | -0.057788 | 1.153254 | -0.175918 | -0.678049 | 1.309341 | 2.346151 | 0.266233 | 0.241988 | -0.550208 | 1.707500 | 0.338096 | -0.001333 | 0.764998 | 1.493867 | 0.806541 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1317 | -0.438422 | -1.086676 | 1.225951 | -0.517332 | -0.891688 | 1.169781 | -0.634329 | 0.379672 | -0.961486 | 1.153254 | -0.876247 | -1.078504 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | -1.077862 | -0.327893 | -0.063296 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1318 | -0.438422 | -0.867672 | -0.566439 | 1.333581 | -1.868426 | 1.169781 | -1.274014 | 0.379672 | -0.961486 | 1.153254 | -0.571765 | -0.678049 | -0.603911 | -0.426230 | -0.658973 | -0.932014 | -0.035946 | 0.155707 | 1.754054 | 0.651788 | 1.041095 | 0.252146 | 1.647603 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1319 | -0.438422 | -0.539166 | 1.278013 | 0.099639 | 1.061787 | 1.169781 | 0.645041 | 0.379672 | -0.057788 | 1.153254 | -0.394133 | 2.125136 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.935905 | -0.620189 | 1.754054 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1320 | -0.438422 | 0.555852 | -1.109363 | 0.099639 | 1.061787 | 0.254625 | -1.372427 | 0.379672 | -0.961486 | 0.246200 | -0.757897 | 0.122861 | 1.855984 | 2.346151 | -0.658973 | 1.415991 | -0.164511 | -1.396086 | -1.077862 | -0.164613 | -0.339394 | 0.252146 | -0.314873 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1321 | -0.438422 | 1.103362 | -1.476270 | -0.023755 | 1.061787 | -0.660531 | -0.093057 | 0.379672 | -0.961486 | 0.246200 | -0.934467 | 0.523316 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -0.550208 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1322 | -0.438422 | 0.993860 | -0.239198 | -0.887515 | -0.891688 | 1.169781 | 0.792660 | 0.379672 | 0.845911 | 1.153254 | 0.440908 | 0.122861 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 0.092620 | 0.931603 | -1.077862 | 0.325228 | 1.041095 | 0.562576 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1323 | -0.438422 | -0.977174 | -1.295295 | -1.010909 | -0.891688 | 0.254625 | -1.126394 | 0.379672 | -0.961486 | 1.153254 | -0.806767 | -0.678049 | -0.057267 | -0.426230 | -0.658973 | 0.241988 | -1.064470 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.058285 | -0.595227 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1324 | -0.438422 | -0.867672 | -0.189616 | 2.444129 | -1.868426 | 1.169781 | 1.333932 | -2.432006 | -0.057788 | 0.246200 | -0.025270 | 2.125136 | 0.489376 | -0.426230 | 1.191438 | 1.415991 | -0.035946 | 0.155707 | 0.338096 | -0.001333 | -1.167687 | -0.368715 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1325 | -0.438422 | 0.555852 | 0.841691 | -0.147150 | 0.085049 | 1.169781 | 0.743454 | 0.379672 | -0.961486 | 0.246200 | -0.538619 | 0.523316 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | 0.155707 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1326 | 2.280906 | -0.539166 | -0.963096 | -0.887515 | 1.061787 | 0.254625 | 0.792660 | -1.026167 | -0.057788 | -0.660853 | 0.723292 | 1.724681 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -0.550208 | 0.155707 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1327 | -0.438422 | 0.993860 | 1.280492 | -0.764121 | 0.085049 | -1.575686 | -1.027981 | 1.785511 | 1.749610 | -1.567907 | 1.428296 | -0.277594 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | 1.763972 | 1.707500 | 0.338096 | 1.958030 | 3.525976 | -0.058285 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1328 | -0.438422 | -1.086676 | -0.184658 | 1.703764 | -1.868426 | -0.660531 | -1.470840 | -1.026167 | -0.057788 | 0.246200 | -0.629560 | -0.678049 | 1.582663 | 2.346151 | 1.191438 | 0.241988 | -0.293077 | 1.707500 | 0.338096 | 0.325228 | 1.041095 | 0.873006 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 1329 | -0.438422 | -0.867672 | -1.116800 | -0.393938 | -1.868426 | 1.169781 | 1.038693 | -1.026167 | -0.961486 | -0.660853 | -0.785944 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1330 | -0.438422 | 0.665354 | 0.050857 | -0.393938 | 0.085049 | -1.575686 | 0.743454 | -1.026167 | 2.653309 | 0.246200 | 2.738652 | 1.724681 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | 1.249709 | -0.620189 | 0.338096 | 1.468189 | 2.145487 | 1.183437 | 2.769018 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1331 | -0.438422 | 1.212863 | 1.044977 | 0.099639 | 0.085049 | 1.169781 | 1.235519 | -1.026167 | 2.653309 | -0.660853 | 2.796659 | 0.523316 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 2.278234 | 0.155707 | 0.338096 | 2.447870 | 1.593291 | 3.046019 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1332 | 2.280906 | -0.867672 | -0.851536 | 1.827158 | -0.891688 | 1.169781 | 0.349801 | -1.026167 | -0.961486 | 1.153254 | -0.863499 | -0.678049 | 2.402628 | 2.346151 | -0.658973 | -0.932014 | -1.321601 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.368715 | -1.155935 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1333 | 2.280906 | 0.993860 | 1.119350 | 0.099639 | 0.085049 | 0.254625 | -0.093057 | 0.379672 | 0.845911 | -0.660853 | 0.172335 | 0.923771 | 1.582663 | 2.346151 | 0.266233 | 2.589994 | 0.349751 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1334 | -0.438422 | -1.086676 | 0.814420 | 0.716610 | 0.085049 | 1.169781 | 0.546627 | -1.026167 | -0.961486 | -1.567907 | -0.367361 | -1.078504 | 1.036019 | -0.426230 | 1.191438 | 0.241988 | -0.421642 | -0.620189 | -1.077862 | -0.001333 | 0.488900 | 1.493867 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1335 | -0.438422 | 0.227347 | 0.080606 | 1.210187 | 1.061787 | 1.169781 | -1.224807 | 0.379672 | -0.057788 | 1.153254 | -0.552642 | 2.125136 | -0.330589 | -0.426230 | -0.658973 | 2.589994 | -0.550208 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1336 | -0.438422 | 1.979376 | 0.083085 | -0.887515 | 1.061787 | -0.660531 | 1.579964 | -1.026167 | -0.961486 | 1.153254 | -0.816116 | 2.125136 | 1.309341 | 2.346151 | -0.658973 | 0.241988 | 0.992578 | -0.620189 | 1.754054 | -0.327893 | -0.615492 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1337 | -0.438422 | -0.977174 | 0.916064 | -0.764121 | 0.085049 | -0.660531 | 0.595834 | 0.379672 | -0.961486 | -0.660853 | -0.774895 | -0.678049 | 1.036019 | -0.426230 | 1.191438 | 0.241988 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 1338 | 2.280906 | -0.758170 | 0.353307 | -0.023755 | 0.085049 | -0.660531 | 1.137106 | 0.379672 | -0.961486 | 1.153254 | -1.152045 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -1.321601 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 1339 | 2.280906 | -1.634185 | -1.020115 | -0.270544 | -1.868426 | 1.169781 | 0.448214 | 0.379672 | -0.961486 | -0.660853 | -0.856487 | -0.678049 | 2.129306 | 2.346151 | -1.584178 | -0.932014 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1340 | -0.438422 | -0.101159 | 1.149099 | 0.099639 | 1.061787 | -0.660531 | -0.142264 | -1.026167 | -0.057788 | 0.246200 | -0.176343 | -0.678049 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | 0.931603 | 0.338096 | 0.488508 | 1.317193 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1341 | -0.438422 | -0.648668 | -1.218443 | 1.333581 | 0.085049 | -0.660531 | 1.137106 | 0.379672 | -0.057788 | 0.246200 | -0.489961 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 1.041095 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1342 | -0.438422 | -0.320163 | 1.679627 | -0.640727 | 0.085049 | 0.254625 | -0.093057 | 0.379672 | 0.845911 | 1.153254 | 0.682071 | -0.277594 | -0.603911 | -0.426230 | 1.191438 | 2.589994 | -0.293077 | 0.155707 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1343 | -0.438422 | -0.867672 | -0.521816 | -0.270544 | 0.085049 | 1.169781 | -0.339090 | 0.379672 | -0.961486 | -1.567907 | -0.943603 | 0.122861 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.035946 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1344 | -0.438422 | 0.008343 | -0.048307 | -0.270544 | 1.061787 | 1.169781 | 0.595834 | 0.379672 | -0.057788 | -1.567907 | -0.471476 | 0.923771 | 1.855984 | 2.346151 | 0.266233 | 0.241988 | 0.606882 | -0.620189 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1345 | -0.438422 | -0.210661 | -1.446521 | 0.840004 | -0.891688 | 1.169781 | -1.077188 | -1.026167 | -0.057788 | -0.660853 | -0.364386 | -1.078504 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.935905 | -0.620189 | 0.338096 | -0.654454 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1346 | -0.438422 | 0.884358 | -0.611063 | 1.950552 | -0.891688 | -0.660531 | 1.333932 | -1.026167 | -0.057788 | 1.153254 | -0.126835 | -1.078504 | -0.603911 | -0.426230 | 1.191438 | 1.415991 | -0.164511 | -0.620189 | -1.077862 | 0.325228 | 1.041095 | 0.252146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1347 | -0.438422 | -0.101159 | 1.017707 | -0.887515 | -1.868426 | -0.660531 | 1.383138 | -1.026167 | -0.057788 | 1.153254 | -0.556042 | -0.678049 | 1.582663 | 2.346151 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | -1.077862 | 0.488508 | -0.891589 | -0.679146 | 1.086895 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1348 | -0.438422 | 0.336849 | 0.829295 | -1.010909 | 1.061787 | -1.575686 | 1.579964 | 0.379672 | 1.749610 | -1.567907 | 2.192794 | -0.277594 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | 1.378275 | 0.155707 | 0.338096 | 1.958030 | 0.764998 | 2.735589 | 3.329725 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1349 | -0.438422 | -1.196177 | -0.794517 | -1.010909 | -0.891688 | -0.660531 | 1.186312 | -1.026167 | -0.961486 | 0.246200 | -0.758534 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | -1.321601 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1350 | -0.438422 | -1.086676 | -0.722623 | -0.887515 | -0.891688 | -1.575686 | 1.137106 | 1.785511 | -0.057788 | 0.246200 | -0.000623 | -1.078504 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.293077 | 1.707500 | -1.077862 | 0.161947 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1351 | -0.438422 | 1.212863 | -1.699389 | 1.580370 | 0.085049 | 1.169781 | -0.388296 | 0.379672 | 1.749610 | 1.153254 | 2.267374 | 0.122861 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | 1.635406 | 0.155707 | 0.338096 | 2.447870 | 3.525976 | 0.562576 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1352 | -0.438422 | 0.774856 | -1.567997 | -1.010909 | 1.061787 | -0.660531 | 0.595834 | 1.785511 | -0.057788 | -1.567907 | -0.312329 | -0.277594 | -0.057267 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | 1.707500 | 0.338096 | -0.817734 | -1.167687 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1353 | 2.280906 | -0.320163 | 0.407848 | 0.840004 | 1.061787 | 1.169781 | 0.940280 | -2.432006 | -0.961486 | -1.567907 | -0.891546 | -0.678049 | 2.129306 | 2.346151 | -0.658973 | 0.241988 | -0.807339 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | 0.252146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1354 | 2.280906 | 2.088878 | 0.891273 | 1.827158 | -0.891688 | -1.575686 | 1.530758 | 0.379672 | -0.961486 | 1.153254 | -0.832052 | -0.678049 | 0.216054 | -0.426230 | 1.191438 | -0.932014 | -0.807339 | 0.155707 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1355 | -0.438422 | -0.101159 | -1.158945 | 0.963398 | -0.891688 | 0.254625 | -1.618459 | -1.026167 | -0.057788 | -0.660853 | -0.211614 | -0.277594 | 0.216054 | -0.426230 | 0.266233 | 1.415991 | 0.092620 | -1.396086 | -2.493820 | -0.491174 | -0.615492 | -0.368715 | -0.314873 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1356 | -0.438422 | 0.446350 | -1.153987 | -0.147150 | 0.085049 | 0.254625 | -0.585122 | 0.379672 | -0.057788 | -0.660853 | -0.448315 | 0.923771 | 1.582663 | 2.346151 | 0.266233 | 0.241988 | 0.349751 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1357 | -0.438422 | 0.555852 | 1.471383 | -0.393938 | 0.085049 | 0.254625 | 0.841867 | 0.379672 | 0.845911 | -1.567907 | 1.454431 | 2.525591 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 0.864013 | 0.155707 | 1.754054 | 0.978348 | 0.764998 | 0.873006 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1358 | -0.438422 | -0.648668 | 0.685507 | 0.099639 | -0.891688 | 0.254625 | 0.989486 | 0.379672 | -0.057788 | 1.153254 | 0.017013 | -0.277594 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | -0.421642 | -0.620189 | 0.338096 | -0.327893 | -0.615492 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1359 | -0.438422 | -0.320163 | -0.167304 | -0.764121 | -1.868426 | 1.169781 | 0.448214 | -1.026167 | -0.057788 | 1.153254 | 0.339980 | 0.122861 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -0.293077 | 0.155707 | -1.077862 | -0.491174 | -0.615492 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1360 | -0.438422 | -0.648668 | -0.821787 | -0.640727 | 0.085049 | -1.575686 | -0.191470 | 1.785511 | -0.961486 | 0.246200 | -0.536494 | 2.125136 | -0.877232 | -0.426230 | -0.658973 | 0.241988 | -0.935905 | -2.171982 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1361 | -0.438422 | -1.196177 | 0.727652 | -0.393938 | 0.085049 | 0.254625 | -0.240677 | 1.785511 | -0.961486 | 1.153254 | -0.841188 | -1.078504 | 0.762698 | -0.426230 | -1.584178 | 0.241988 | -0.421642 | 0.155707 | 0.338096 | -0.001333 | 0.764998 | 1.493867 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1362 | -0.438422 | 0.884358 | 1.225951 | -1.010909 | 1.061787 | -0.660531 | -1.077188 | 0.379672 | -0.057788 | 0.246200 | -0.234562 | 0.523316 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | 0.092620 | 0.155707 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1363 | -0.438422 | -0.429664 | -1.451479 | 0.099639 | 1.061787 | -0.660531 | -1.126394 | 0.379672 | -0.057788 | 0.246200 | -0.215864 | -0.678049 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | -0.620189 | -1.077862 | 0.488508 | -0.063296 | -0.679146 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1364 | -0.438422 | -0.977174 | -0.048307 | -1.010909 | -0.891688 | 0.254625 | -1.175601 | -1.026167 | -0.057788 | 1.153254 | 0.070345 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 0.241988 | -0.550208 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1365 | 2.280906 | -0.867672 | -0.140034 | 1.827158 | 0.085049 | 0.254625 | -1.027981 | 1.785511 | -0.961486 | -1.567907 | -1.149920 | -0.678049 | 0.489376 | -0.426230 | 1.191438 | -0.932014 | -1.321601 | 0.155707 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 1366 | -0.438422 | 0.227347 | 1.111913 | 1.456975 | 1.061787 | -1.575686 | -1.667666 | -2.432006 | -0.057788 | 0.246200 | -0.162957 | 1.324226 | 1.036019 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | -1.396086 | 0.338096 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1367 | -0.438422 | -1.086676 | 1.367260 | -0.887515 | 1.061787 | -0.660531 | -1.224807 | 0.379672 | -0.961486 | -0.660853 | -0.908757 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.678774 | 0.155707 | -1.077862 | -0.327893 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1368 | -0.438422 | -0.320163 | -0.167304 | 1.580370 | 1.061787 | 0.254625 | 0.989486 | -1.026167 | -0.057788 | 1.153254 | -0.160619 | -0.678049 | -0.057267 | -0.426230 | -0.658973 | -0.932014 | 0.606882 | 0.155707 | 0.338096 | 1.304909 | 1.593291 | 1.183437 | 1.927956 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1369 | 2.280906 | -0.977174 | 1.667232 | 0.469821 | -0.891688 | 1.169781 | 0.891073 | 0.379672 | -0.057788 | 0.246200 | 0.712031 | 0.122861 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.678774 | -2.171982 | 0.338096 | -0.817734 | -1.167687 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1370 | -0.438422 | 1.103362 | 0.908626 | 0.593216 | 1.061787 | 0.254625 | -0.093057 | 0.379672 | -0.057788 | -0.660853 | -0.220113 | 2.125136 | 0.762698 | -0.426230 | 0.266233 | 0.241988 | 0.606882 | 0.931603 | 1.754054 | 0.161947 | 0.764998 | -0.368715 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1371 | -0.438422 | 2.088878 | 1.587900 | 0.223033 | 2.038524 | 1.169781 | 1.137106 | -1.026167 | -0.057788 | -1.567907 | -0.238599 | 0.523316 | 0.216054 | -0.426230 | 0.266233 | 0.241988 | -0.678774 | 0.155707 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1372 | -0.438422 | 0.227347 | 0.159938 | -0.023755 | -0.891688 | -1.575686 | 1.038693 | 0.379672 | -0.057788 | -1.567907 | -0.287257 | -0.678049 | 2.675949 | 2.346151 | 1.191438 | 0.241988 | -0.164511 | 0.155707 | 0.338096 | 0.488508 | -1.167687 | 1.493867 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1373 | -0.438422 | 0.117845 | 1.466424 | -0.147150 | 0.085049 | 1.169781 | -0.388296 | -1.026167 | -0.057788 | -0.660853 | -0.928517 | -0.678049 | 0.216054 | -0.426230 | 0.266233 | 0.241988 | 1.121144 | 0.155707 | 0.338096 | 2.121310 | 1.869389 | -0.679146 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1374 | -0.438422 | 2.307882 | -0.489587 | 1.456975 | 0.085049 | 1.169781 | 0.300595 | 0.379672 | 1.749610 | 1.153254 | 2.416322 | 0.523316 | -0.603911 | -0.426230 | 0.266233 | 0.241988 | 2.278234 | -0.620189 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1375 | 2.280906 | -0.539166 | -1.399418 | -0.517332 | -0.891688 | -1.575686 | -0.929568 | 1.785511 | -0.961486 | 0.246200 | -0.864986 | 0.122861 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | -0.491174 | -0.891589 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1376 | -0.438422 | 0.117845 | 1.000353 | -0.023755 | -0.891688 | -0.660531 | 0.251388 | 0.379672 | -0.961486 | 1.153254 | -0.367998 | -0.277594 | 1.036019 | -0.426230 | 1.191438 | 1.415991 | -0.164511 | -2.171982 | 1.754054 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1377 | -0.438422 | 1.322365 | 0.648321 | -0.887515 | -1.868426 | -0.660531 | -1.175601 | 0.379672 | 2.653309 | 1.153254 | 2.689569 | 0.122861 | -0.057267 | -0.426230 | 1.191438 | -0.932014 | 2.149668 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | 0.562576 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1378 | -0.438422 | 0.555852 | -0.950700 | 0.346427 | 1.061787 | -0.660531 | 0.546627 | 0.379672 | -0.057788 | 1.153254 | -0.300855 | 0.122861 | -0.877232 | -0.426230 | 0.266233 | 1.415991 | 0.349751 | 0.931603 | 0.338096 | -1.144294 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1379 | 2.280906 | -1.086676 | 1.325116 | 1.580370 | 0.085049 | -1.575686 | -0.388296 | -1.026167 | -0.961486 | -0.660853 | -0.773408 | -0.678049 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -1.321601 | -0.620189 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1380 | -0.438422 | -0.210661 | -0.298696 | 1.086793 | 1.061787 | -0.660531 | 0.251388 | 0.379672 | -0.057788 | -1.567907 | -0.200140 | -1.078504 | 0.216054 | -0.426230 | 1.191438 | 0.241988 | -0.678774 | -0.620189 | -2.493820 | -0.327893 | -0.339394 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1381 | -0.438422 | -0.977174 | 0.745006 | 0.840004 | 0.085049 | 0.254625 | -0.831155 | 0.379672 | -0.961486 | 0.246200 | -0.926180 | -0.678049 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | -0.807339 | 0.155707 | -1.077862 | -0.327893 | -0.339394 | -0.368715 | -0.034520 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1382 | -0.438422 | -0.648668 | 0.430160 | -0.764121 | -0.891688 | 0.254625 | -0.880361 | 0.379672 | -0.961486 | -1.567907 | -0.730487 | -0.678049 | -0.603911 | -0.426230 | 1.191438 | 0.241988 | -0.935905 | 0.155707 | 1.754054 | -0.491174 | -0.615492 | -0.058285 | -0.314873 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1383 | -0.438422 | -0.101159 | 1.359823 | -0.023755 | 1.061787 | -1.575686 | 0.005356 | 1.785511 | -0.961486 | -0.660853 | -0.784669 | -0.678049 | 1.855984 | 2.346151 | -0.658973 | -0.932014 | -0.807339 | 0.155707 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1384 | -0.438422 | -0.320163 | 0.333475 | -1.010909 | 0.085049 | -1.575686 | -1.667666 | 0.379672 | 0.845911 | 1.153254 | 0.719255 | -0.678049 | 1.582663 | 2.346151 | -1.584178 | -0.932014 | 0.349751 | 0.155707 | -1.077862 | 1.141629 | 1.041095 | -0.058285 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1385 | -0.438422 | -0.320163 | 1.082164 | 0.469821 | 1.061787 | 1.169781 | -1.323220 | 0.379672 | 0.845911 | 0.246200 | 0.451532 | -0.678049 | 0.762698 | -0.426230 | 0.266233 | 0.241988 | -0.293077 | -0.620189 | -1.077862 | 0.161947 | 0.764998 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1386 | -0.438422 | -1.196177 | -1.600225 | -1.010909 | 0.085049 | 0.254625 | 1.432345 | 0.379672 | -0.961486 | -1.567907 | -0.772558 | -1.078504 | -0.603911 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | 2.483396 | -1.077862 | -0.001333 | 0.764998 | 1.493867 | 0.526188 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1387 | -0.438422 | -0.867672 | -1.652286 | -1.010909 | 0.085049 | -1.575686 | 1.137106 | 0.379672 | -0.057788 | -1.567907 | -0.240086 | -1.078504 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | -0.678774 | 1.707500 | -1.077862 | -0.327893 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1388 | -0.438422 | -0.539166 | 0.851607 | 0.716610 | 1.061787 | 0.254625 | -1.569253 | 0.379672 | -0.057788 | 1.153254 | 0.034861 | 0.923771 | 0.762698 | -0.426230 | -0.658973 | 0.241988 | -0.293077 | 2.483396 | 0.338096 | -0.327893 | -0.891589 | -0.368715 | -0.595227 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1389 | -0.438422 | -0.648668 | 0.799546 | -1.010909 | 0.085049 | 1.169781 | -0.880361 | -2.432006 | -0.057788 | -1.567907 | -0.318703 | -0.678049 | 1.582663 | 2.346151 | -0.658973 | -0.932014 | -0.164511 | 2.483396 | 0.338096 | 0.488508 | 1.041095 | 1.804297 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1390 | 2.280906 | -0.977174 | 1.491215 | 0.963398 | 0.085049 | 0.254625 | -1.667666 | -1.026167 | -0.961486 | 1.153254 | -0.878797 | 0.923771 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | -0.678774 | -0.620189 | -1.077862 | -0.491174 | -0.891589 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1391 | -0.438422 | 0.117845 | 1.491215 | -1.010909 | 0.085049 | -1.575686 | -0.339090 | -1.026167 | -0.961486 | -1.567907 | -0.774470 | 0.523316 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | 1.121144 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 1392 | -0.438422 | -0.210661 | 1.044977 | -0.270544 | 1.061787 | 0.254625 | -0.535916 | 0.379672 | -0.057788 | 1.153254 | -0.275995 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.488508 | 1.041095 | -0.679146 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1393 | -0.438422 | -1.086676 | 0.375619 | -0.023755 | 0.085049 | 1.169781 | -1.077188 | 0.379672 | -0.057788 | 1.153254 | -0.509509 | -0.678049 | -0.330589 | -0.426230 | -1.584178 | -0.932014 | -0.550208 | 1.707500 | 0.338096 | -0.001333 | 0.764998 | -0.679146 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1394 | -0.438422 | -0.539166 | 1.414363 | -0.517332 | 1.061787 | 1.169781 | -0.486709 | -1.026167 | -0.057788 | 1.153254 | 0.674847 | 2.125136 | 2.402628 | 2.346151 | -0.658973 | -0.932014 | -0.421642 | -1.396086 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1395 | 2.280906 | -0.648668 | -0.120201 | 2.073946 | 1.061787 | -1.575686 | -0.142264 | 0.379672 | -0.057788 | 1.153254 | -0.188241 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | -0.932014 | -0.164511 | 0.931603 | 0.338096 | 0.488508 | 0.764998 | -0.679146 | 1.086895 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1396 | 2.280906 | 1.760373 | 0.906147 | 1.827158 | 1.061787 | -1.575686 | 0.005356 | 0.379672 | 0.845911 | -1.567907 | 0.838243 | 1.324226 | -0.603911 | -0.426230 | -0.658973 | -0.932014 | 0.478316 | -0.620189 | -1.077862 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1397 | -0.438422 | 1.869874 | -1.605183 | -0.023755 | -0.891688 | -1.575686 | 0.054562 | 0.379672 | -0.057788 | 0.246200 | -0.766183 | 0.122861 | -1.150554 | -0.426230 | 0.266233 | 1.415991 | -0.293077 | 2.483396 | -1.077862 | -0.491174 | -0.339394 | -0.058285 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1398 | -0.438422 | -0.429664 | 1.240826 | -0.270544 | -0.891688 | 1.169781 | -1.470840 | 0.379672 | -0.057788 | 0.246200 | -0.113661 | -0.678049 | 1.309341 | 2.346151 | 0.266233 | 2.589994 | -0.293077 | -0.620189 | 0.338096 | 0.325228 | 0.764998 | -0.058285 | 1.086895 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1399 | -0.438422 | 0.665354 | -0.566439 | 0.223033 | 0.085049 | -1.575686 | -1.766079 | 0.379672 | 0.845911 | 0.246200 | 0.213981 | -0.678049 | 0.489376 | -0.426230 | -0.658973 | 0.241988 | -0.164511 | -1.396086 | 0.338096 | 0.488508 | 1.317193 | -0.679146 | 1.367249 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1400 | -0.438422 | 0.117845 | 1.590379 | -1.010909 | 1.061787 | 1.169781 | 1.087899 | 0.379672 | -0.961486 | -0.660853 | -0.746210 | -1.078504 | -1.150554 | -0.426230 | -0.658973 | 0.241988 | -0.550208 | -0.620189 | 0.338096 | -0.164613 | -0.615492 | -0.368715 | -0.595227 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1401 | -0.438422 | 1.979376 | -1.520894 | 2.073946 | 1.061787 | 0.254625 | 0.251388 | 1.785511 | 2.653309 | -0.660853 | 2.790497 | 0.523316 | 0.762698 | -0.426230 | -1.584178 | 0.241988 | 3.049627 | -2.171982 | 0.338096 | 0.488508 | 1.317193 | -0.368715 | -0.034520 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1402 | -0.438422 | -0.648668 | 1.173890 | -0.887515 | -1.868426 | 1.169781 | -0.339090 | -2.432006 | -0.961486 | 1.153254 | -1.141846 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 2.589994 | -1.321601 | 0.931603 | 0.338096 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1403 | -0.438422 | 0.227347 | -1.694431 | 0.716610 | 1.061787 | -0.660531 | 0.546627 | 0.379672 | 1.749610 | -1.567907 | 1.452944 | -1.078504 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | 1.249709 | 0.155707 | 0.338096 | 2.121310 | 1.041095 | 2.735589 | 1.647603 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1404 | -0.438422 | 0.555852 | -1.158945 | 1.703764 | -0.891688 | 1.169781 | -1.421633 | -1.026167 | -0.057788 | 0.246200 | -0.461277 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | 1.121144 | -0.620189 | 0.338096 | 2.121310 | 1.317193 | 0.252146 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1405 | -0.438422 | -0.648668 | -0.261510 | 0.099639 | 0.085049 | 0.254625 | -1.274014 | 0.379672 | 0.845911 | 0.246200 | 0.962118 | 0.523316 | 1.309341 | 2.346151 | 0.266233 | 0.241988 | 0.221185 | -0.620189 | 1.754054 | 0.651788 | 0.764998 | 0.562576 | 1.086895 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1406 | -0.438422 | 1.869874 | -1.600225 | 0.099639 | 0.085049 | 0.254625 | 0.546627 | 0.379672 | -0.057788 | -1.567907 | -0.438329 | 1.324226 | 1.036019 | -0.426230 | 1.191438 | -0.932014 | -0.293077 | 0.155707 | 0.338096 | -0.327893 | -0.615492 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1407 | -0.438422 | -1.415181 | -0.078056 | -1.010909 | -0.891688 | -0.660531 | -1.027981 | -1.026167 | -0.057788 | 0.246200 | -0.400720 | -0.678049 | -0.877232 | -0.426230 | -0.658973 | -0.932014 | -0.935905 | -0.620189 | -1.077862 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1408 | -0.438422 | -1.524683 | -0.573877 | 0.346427 | -0.891688 | 1.169781 | 0.595834 | 0.379672 | -0.961486 | 1.153254 | -0.819303 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.807339 | 2.483396 | 1.754054 | -0.327893 | -0.615492 | -0.368715 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1409 | -0.438422 | 0.336849 | -0.273905 | 0.223033 | 0.085049 | 1.169781 | 0.349801 | 0.379672 | -0.057788 | 0.246200 | -0.038232 | -0.678049 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | -0.620189 | 1.754054 | 0.488508 | 1.317193 | 2.114728 | -0.034520 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1410 | -0.438422 | 0.336849 | -0.888723 | -0.887515 | -0.891688 | -0.660531 | 1.284725 | 0.379672 | -0.057788 | -0.660853 | -0.175493 | 0.122861 | -0.330589 | -0.426230 | 0.266233 | 0.241988 | 0.478316 | 0.931603 | 0.338096 | 0.651788 | 1.041095 | 0.873006 | 1.647603 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1411 | -0.438422 | -1.305679 | -1.223402 | -0.887515 | 0.085049 | 0.254625 | 0.792660 | 0.379672 | -0.961486 | -0.660853 | -0.917043 | 0.523316 | -0.330589 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.817734 | -1.167687 | -0.368715 | -0.595227 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1412 | -0.438422 | -0.758170 | 0.269018 | -1.010909 | -0.891688 | 1.169781 | 0.497421 | 0.379672 | -0.961486 | -0.660853 | -0.585364 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | 0.092620 | 2.483396 | -1.077862 | 0.815068 | 1.041095 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1413 | -0.438422 | -1.305679 | 0.432639 | -0.887515 | -1.868426 | 1.169781 | -0.437503 | 0.379672 | -0.961486 | 0.246200 | -0.536706 | 1.324226 | 1.036019 | -0.426230 | 0.266233 | 0.241988 | -0.550208 | -0.620189 | -1.077862 | -0.817734 | -0.615492 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1414 | -0.438422 | 1.103362 | 0.935897 | 1.950552 | 0.085049 | -1.575686 | 0.891073 | 0.379672 | 0.845911 | 0.246200 | 0.452594 | -0.277594 | 2.129306 | 2.346151 | -0.658973 | -0.932014 | 1.763972 | 0.155707 | 0.338096 | 1.631469 | 2.697683 | 3.046019 | 1.927956 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1415 | -0.438422 | -0.429664 | 1.265617 | -1.010909 | -0.891688 | -0.660531 | -0.339090 | -1.026167 | -0.961486 | 0.246200 | -0.955077 | -0.678049 | -0.877232 | -0.426230 | 0.266233 | 2.589994 | -1.321601 | -0.620189 | -1.077862 | -0.981014 | -0.891589 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1416 | -0.438422 | 0.117845 | 1.285450 | -1.010909 | 1.061787 | 1.169781 | 0.989486 | 0.379672 | -0.057788 | -0.660853 | -0.438329 | -1.078504 | -0.057267 | -0.426230 | -1.584178 | 1.415991 | 0.606882 | 0.155707 | 0.338096 | 1.304909 | 2.421585 | 0.873006 | 1.086895 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1417 | -0.438422 | -0.648668 | 0.871440 | -0.887515 | -0.891688 | -1.575686 | -0.585122 | 0.379672 | -0.961486 | 0.246200 | -0.730062 | -1.078504 | 1.036019 | -0.426230 | 0.266233 | 0.241988 | -1.064470 | -1.396086 | 0.338096 | -0.817734 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 1418 | -0.438422 | 0.117845 | -0.730060 | -0.393938 | 1.061787 | -1.575686 | 0.300595 | -1.026167 | -0.057788 | 0.246200 | -0.251135 | -0.277594 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | -0.164511 | -1.396086 | 0.338096 | 0.161947 | -0.339394 | 1.493867 | 0.806541 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1419 | -0.438422 | 0.555852 | -0.608584 | 1.086793 | 1.061787 | 1.169781 | -1.520046 | 0.379672 | -0.057788 | -1.567907 | -0.232225 | 1.324226 | 0.489376 | -0.426230 | 0.266233 | 0.241988 | -0.293077 | 0.155707 | -1.077862 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1420 | -0.438422 | 0.446350 | -0.397860 | -1.010909 | 0.085049 | 1.169781 | 0.497421 | 0.379672 | -0.961486 | 1.153254 | -0.790618 | 0.122861 | 1.855984 | 2.346151 | -1.584178 | 0.241988 | 0.092620 | 0.155707 | 0.338096 | -0.327893 | -0.339394 | -0.368715 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1421 | -0.438422 | 1.103362 | 0.891273 | -1.010909 | -1.868426 | 0.254625 | 1.579964 | 0.379672 | 0.845911 | -0.660853 | 1.158873 | -1.078504 | 0.762698 | -0.426230 | -1.584178 | 1.415991 | 0.349751 | 0.155707 | -2.493820 | 0.978348 | 1.041095 | 0.873006 | 2.208310 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1422 | -0.438422 | -0.210661 | 1.704418 | 0.223033 | 1.061787 | 1.169781 | -1.126394 | 0.379672 | -0.961486 | 0.246200 | -0.816541 | 1.724681 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.807339 | 0.155707 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1423 | -0.438422 | -1.634185 | -0.549086 | -1.010909 | -0.891688 | 1.169781 | -0.142264 | 0.379672 | -0.961486 | 0.246200 | -0.664619 | -1.078504 | -0.877232 | -0.426230 | 1.191438 | -0.932014 | -0.935905 | -0.620189 | 1.754054 | -0.654454 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1424 | -0.438422 | -0.210661 | 1.468903 | -0.023755 | 1.061787 | -0.660531 | -0.880361 | 0.379672 | -0.057788 | 0.246200 | -0.298518 | -0.678049 | 1.036019 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | 1.707500 | 0.338096 | 0.488508 | 0.764998 | -0.679146 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1425 | -0.438422 | -0.429664 | -0.747414 | 0.716610 | -0.891688 | -0.660531 | 1.432345 | 0.379672 | -0.057788 | 1.153254 | -0.345263 | -1.078504 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | 2.483396 | 0.338096 | 0.325228 | 0.764998 | 1.804297 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1426 | -0.438422 | -0.539166 | -1.327524 | 2.444129 | 1.061787 | 0.254625 | -0.831155 | -1.026167 | -0.961486 | -0.660853 | -0.778932 | -0.678049 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | 0.155707 | 0.338096 | -0.164613 | -0.615492 | 0.562576 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1427 | -0.438422 | 0.336849 | -0.643292 | -1.010909 | 1.061787 | -1.575686 | 0.841867 | 0.379672 | -0.961486 | 1.153254 | -0.870510 | 2.125136 | 1.036019 | -0.426230 | 0.266233 | 1.415991 | -0.421642 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1428 | -0.438422 | -0.539166 | -1.409334 | -1.010909 | 1.061787 | -0.660531 | 0.103769 | -1.026167 | -0.961486 | -0.660853 | -0.899620 | -1.078504 | -0.330589 | -0.426230 | -0.658973 | 0.241988 | -1.064470 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 1429 | -0.438422 | 0.227347 | -1.701868 | 1.827158 | -1.868426 | -1.575686 | -0.683535 | 0.379672 | -0.057788 | 1.153254 | -0.508872 | 1.724681 | -0.603911 | -0.426230 | -1.584178 | -0.932014 | 0.864013 | -0.620189 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1430 | -0.438422 | 0.117845 | -1.491145 | 0.099639 | 0.085049 | -0.660531 | 1.629171 | -2.432006 | 0.845911 | 0.246200 | 1.424259 | 0.122861 | -0.877232 | -0.426230 | -1.584178 | 0.241988 | 1.121144 | 0.155707 | 0.338096 | 1.794749 | 3.249878 | -0.368715 | 1.927956 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1431 | -0.438422 | -0.539166 | -0.003683 | -1.010909 | 1.061787 | 0.254625 | -0.880361 | 0.379672 | 0.845911 | 1.153254 | 0.832718 | -0.678049 | 1.036019 | -0.426230 | 0.266233 | 1.415991 | 0.349751 | 0.155707 | 0.338096 | 1.141629 | 1.593291 | 0.873006 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1432 | -0.438422 | 0.008343 | -1.590309 | 0.099639 | 0.085049 | 0.254625 | -1.175601 | 1.785511 | 0.845911 | 1.153254 | 1.538573 | -0.678049 | 2.675949 | 2.346151 | -1.584178 | 0.241988 | 0.606882 | -0.620189 | 0.338096 | 1.468189 | 1.869389 | 1.183437 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1433 | -0.438422 | -1.305679 | 1.436675 | -0.147150 | -0.891688 | -1.575686 | 0.940280 | 0.379672 | -0.057788 | 0.246200 | -0.339101 | -1.078504 | 1.855984 | 2.346151 | -0.658973 | 0.241988 | -0.678774 | 0.155707 | -1.077862 | -0.327893 | -0.339394 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1434 | -0.438422 | 1.650871 | -0.539169 | 2.444129 | 1.061787 | -1.575686 | -1.274014 | 0.379672 | -0.961486 | 1.153254 | -0.641883 | -0.277594 | -0.057267 | -0.426230 | -0.658973 | 1.415991 | 0.606882 | 0.155707 | -1.077862 | 0.325228 | 1.041095 | -0.679146 | -1.155935 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 |
| 1435 | -0.438422 | 0.774856 | 0.581385 | -1.010909 | 0.085049 | -0.660531 | -1.175601 | 0.379672 | -0.961486 | 1.153254 | -0.864136 | 1.324226 | -0.877232 | -0.426230 | 0.266233 | -0.932014 | -0.678774 | -0.620189 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1436 | -0.438422 | -1.743687 | -0.747414 | -0.517332 | -1.868426 | 0.254625 | -0.388296 | 0.379672 | -0.961486 | -1.567907 | -0.876035 | -0.678049 | -1.150554 | -0.426230 | 1.191438 | -0.932014 | -1.193036 | 2.483396 | 0.338096 | -0.817734 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| 1437 | -0.438422 | 0.227347 | -1.729138 | -0.023755 | 0.085049 | 1.169781 | 1.038693 | 0.379672 | 2.653309 | 1.153254 | 2.746939 | -0.277594 | -0.603911 | -0.426230 | 0.266233 | -0.932014 | 1.249709 | 0.155707 | -1.077862 | -0.164613 | -1.167687 | -0.368715 | -0.314873 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1438 | 2.280906 | -1.524683 | -0.407777 | -0.023755 | 0.085049 | 1.169781 | -1.618459 | 0.379672 | -0.961486 | -1.567907 | -1.001397 | -0.678049 | 1.036019 | -0.426230 | -1.584178 | 0.241988 | -1.321601 | 0.155707 | -1.077862 | -0.981014 | -1.167687 | -0.368715 | -1.155935 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
| 1439 | -0.438422 | -0.101159 | -0.608584 | -0.764121 | 0.085049 | -1.575686 | 1.383138 | -1.026167 | 0.845911 | 1.153254 | 0.242453 | -1.078504 | 1.036019 | -0.426230 | 0.266233 | 1.415991 | -0.164511 | -0.620189 | 0.338096 | 0.325228 | 0.764998 | 0.252146 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1440 | -0.438422 | -0.101159 | -0.283822 | -0.640727 | -0.891688 | 1.169781 | 1.530758 | 0.379672 | -0.057788 | -0.660853 | -0.291506 | 1.724681 | -0.603911 | -0.426230 | -0.658973 | 2.589994 | 0.864013 | 0.155707 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1441 | -0.438422 | 2.088878 | -0.335883 | -1.010909 | 1.061787 | 0.254625 | -0.437503 | 0.379672 | -0.057788 | 0.246200 | -0.041844 | -0.678049 | 1.582663 | 2.346151 | -1.584178 | 0.241988 | 0.221185 | -0.620189 | -1.077862 | 0.978348 | 2.145487 | -0.368715 | 1.367249 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1442 | 2.280906 | -0.867672 | 0.717736 | -1.010909 | 1.061787 | -1.575686 | -1.470840 | 0.379672 | -0.961486 | 1.153254 | -0.364599 | 2.525591 | -0.330589 | -0.426230 | -0.658973 | 2.589994 | -0.935905 | 0.155707 | 1.754054 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1443 | -0.438422 | 0.555852 | -1.245713 | -0.887515 | 0.085049 | -1.575686 | -0.486709 | 0.379672 | 2.653309 | 0.246200 | 2.629863 | 0.923771 | -1.150554 | -0.426230 | -1.584178 | -0.932014 | 1.635406 | -0.620189 | -1.077862 | 2.447870 | 0.488900 | 0.562576 | 2.769018 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1444 | 2.280906 | 2.088878 | -1.220922 | -0.270544 | -0.891688 | 1.169781 | 0.300595 | 0.379672 | -0.961486 | 0.246200 | -0.884747 | 2.125136 | -1.150554 | -0.426230 | 1.191438 | 0.241988 | 0.349751 | 0.931603 | -2.493820 | 0.488508 | 1.317193 | 2.114728 | 1.086895 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1445 | -0.438422 | 0.446350 | -0.546607 | 2.320735 | 1.061787 | -1.575686 | -0.289883 | -1.026167 | 1.749610 | -0.660853 | 1.501601 | -1.078504 | 2.129306 | 2.346151 | 0.266233 | 0.241988 | 1.249709 | 0.155707 | 0.338096 | 2.121310 | 0.764998 | -0.679146 | 1.647603 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1446 | -0.438422 | -0.320163 | -0.244156 | 2.320735 | 0.085049 | 1.169781 | 1.432345 | -1.026167 | -0.057788 | 0.246200 | 0.044423 | -0.678049 | 1.582663 | 2.346151 | 1.191438 | 1.415991 | -0.421642 | -0.620189 | 0.338096 | 0.161947 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1447 | -0.438422 | -0.101159 | -1.243234 | 0.716610 | 1.061787 | 1.169781 | 1.087899 | -2.432006 | -0.057788 | 1.153254 | -0.233074 | -0.678049 | 2.402628 | 2.346151 | -1.584178 | 0.241988 | 0.478316 | 0.931603 | -1.077862 | 1.304909 | 2.145487 | 2.735589 | 1.927956 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1448 | -0.438422 | 0.446350 | 0.316121 | -0.764121 | 0.085049 | 0.254625 | -0.437503 | -1.026167 | -0.057788 | -0.660853 | 0.517400 | -0.277594 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | 0.349751 | 1.707500 | 0.338096 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1449 | -0.438422 | -0.539166 | -0.677999 | -0.887515 | 0.085049 | 1.169781 | 0.595834 | 0.379672 | -0.961486 | -1.567907 | -0.863499 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.935905 | 0.931603 | 0.338096 | -0.491174 | -0.615492 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1450 | -0.438422 | -0.210661 | 0.851607 | 2.073946 | 1.061787 | 0.254625 | -1.716872 | 0.379672 | 0.845911 | 1.153254 | 0.495940 | -0.678049 | 0.216054 | -0.426230 | 0.266233 | -0.932014 | -0.293077 | -0.620189 | 0.338096 | 0.325228 | -1.167687 | -0.368715 | 0.806541 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 1451 | -0.438422 | 0.117845 | -1.134154 | 0.099639 | -0.891688 | -1.575686 | 1.678377 | 0.379672 | -0.057788 | 1.153254 | -0.246461 | -0.678049 | -1.150554 | -0.426230 | 0.266233 | 0.241988 | -0.164511 | -1.396086 | 0.338096 | 0.488508 | 0.764998 | -0.368715 | 1.367249 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1452 | 2.280906 | 1.431867 | 0.187208 | -1.010909 | 1.061787 | -0.660531 | 1.383138 | 0.379672 | -0.057788 | 0.246200 | 0.047822 | 1.724681 | -0.877232 | -0.426230 | 1.191438 | 1.415991 | 0.092620 | 0.155707 | 0.338096 | -0.164613 | -0.339394 | -0.679146 | -0.875581 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1453 | -0.438422 | -0.101159 | 0.787150 | 0.223033 | 1.061787 | -0.660531 | 1.678377 | -1.026167 | -0.057788 | 1.153254 | 0.031674 | 0.523316 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -0.421642 | -0.620189 | -1.077862 | -0.164613 | -0.339394 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1454 | -0.438422 | 0.884358 | -1.062260 | 1.333581 | 0.085049 | 1.169781 | -0.781948 | 0.379672 | -0.057788 | 0.246200 | -0.351213 | 2.125136 | -0.057267 | -0.426230 | 0.266233 | -0.932014 | -0.421642 | 0.155707 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.875581 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1455 | -0.438422 | 0.336849 | 1.287929 | -0.887515 | 1.061787 | 0.254625 | -0.683535 | -1.026167 | -0.961486 | 0.246200 | -0.784882 | -0.277594 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | -0.421642 | -0.620189 | 0.338096 | -0.817734 | -0.615492 | -0.058285 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1456 | -0.438422 | -0.210661 | 0.982999 | 1.086793 | 1.061787 | 0.254625 | 0.694247 | 0.379672 | -0.057788 | 0.246200 | -0.172943 | -0.678049 | -0.330589 | -0.426230 | 1.191438 | 1.415991 | -0.164511 | -0.620189 | 1.754054 | 0.488508 | -0.615492 | -0.679146 | -0.595227 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1457 | -0.438422 | 0.336849 | 0.970604 | -0.887515 | 1.061787 | 0.254625 | 1.579964 | 0.379672 | -0.961486 | 0.246200 | -0.956564 | -0.277594 | -0.330589 | -0.426230 | -0.658973 | 2.589994 | 1.121144 | -0.620189 | 0.338096 | -0.327893 | -0.339394 | -0.679146 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1458 | -0.438422 | -0.210661 | -1.277942 | -1.010909 | 1.061787 | 0.254625 | -0.191470 | -2.432006 | -0.961486 | 1.153254 | -0.749185 | -0.678049 | -0.877232 | -0.426230 | 1.191438 | 0.241988 | -0.935905 | 1.707500 | 0.338096 | -0.491174 | -0.339394 | -0.368715 | -0.875581 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1459 | -0.438422 | -0.867672 | 1.426759 | 0.469821 | -0.891688 | 1.169781 | -0.978775 | -1.026167 | -0.057788 | -0.660853 | -0.526508 | 0.523316 | -0.603911 | -0.426230 | -1.584178 | 0.241988 | -0.164511 | -0.620189 | 0.338096 | -0.491174 | -0.339394 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1460 | -0.438422 | -0.867672 | -0.829224 | 2.320735 | 1.061787 | 1.169781 | 0.349801 | -1.026167 | -0.961486 | -1.567907 | -0.577502 | -0.678049 | -0.330589 | -0.426230 | -0.658973 | -0.932014 | -0.807339 | 0.155707 | -2.493820 | -0.327893 | -0.063296 | -0.679146 | -0.034520 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1461 | 2.280906 | 1.431867 | -0.973012 | 2.320735 | 0.085049 | 1.169781 | -1.323220 | -1.026167 | 0.845911 | -1.567907 | 0.924509 | 0.523316 | -0.603911 | -0.426230 | -0.658973 | 0.241988 | 1.121144 | 0.155707 | 0.338096 | -0.654454 | -0.615492 | -0.058285 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 1462 | -0.438422 | 0.227347 | -0.199532 | 1.827158 | -1.868426 | -0.660531 | -0.289883 | -1.026167 | 1.749610 | 1.153254 | 1.174597 | -1.078504 | -1.150554 | -0.426230 | -1.584178 | 0.241988 | 1.249709 | -0.620189 | -1.077862 | 2.121310 | 1.317193 | 2.114728 | 0.526188 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1463 | -0.438422 | -0.648668 | -1.183736 | -0.517332 | 0.085049 | -0.660531 | 0.399008 | 0.379672 | -0.057788 | -1.567907 | 0.729454 | -1.078504 | 1.036019 | -0.426230 | -0.658973 | -0.932014 | -0.164511 | -0.620189 | 0.338096 | 0.325228 | -0.063296 | -0.368715 | 0.806541 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 1464 | -0.438422 | -1.196177 | 0.903668 | -0.517332 | 0.085049 | 1.169781 | -1.766079 | -1.026167 | -0.961486 | 0.246200 | -0.751522 | -1.078504 | 0.762698 | -0.426230 | 1.191438 | -0.932014 | -0.807339 | -0.620189 | 0.338096 | -0.491174 | -0.615492 | -0.679146 | -1.155935 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
| 1465 | -0.438422 | -0.101159 | 0.202082 | 1.703764 | -0.891688 | 0.254625 | -1.224807 | 1.785511 | -0.057788 | 1.153254 | -0.835451 | 0.523316 | 0.489376 | -0.426230 | 0.266233 | 0.241988 | 0.735447 | 0.155707 | 0.338096 | -0.327893 | -0.615492 | -0.679146 | -0.314873 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1466 | -0.438422 | 0.227347 | -0.469754 | -0.393938 | -1.868426 | 1.169781 | -1.175601 | -1.026167 | 0.845911 | -1.567907 | 0.741140 | 0.523316 | -0.057267 | -0.426230 | -1.584178 | 0.241988 | -0.293077 | 1.707500 | 0.338096 | -0.001333 | 0.764998 | -0.368715 | 0.806541 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1467 | -0.438422 | -1.086676 | -1.605183 | -0.640727 | 0.085049 | -0.660531 | 1.038693 | 1.785511 | -0.057788 | -0.660853 | -0.076690 | -0.678049 | 1.309341 | 2.346151 | -0.658973 | 0.241988 | -0.678774 | -2.171982 | 0.338096 | -0.164613 | -0.615492 | -0.679146 | -0.314873 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1468 | -0.438422 | 1.322365 | 0.546677 | -0.887515 | 0.085049 | 1.169781 | -0.142264 | -1.026167 | -0.057788 | -0.660853 | -0.236474 | -0.277594 | -0.330589 | -0.426230 | 1.191438 | -0.932014 | 0.735447 | 0.155707 | -1.077862 | 0.325228 | 0.488900 | -0.679146 | 1.086895 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 1469 | -0.438422 | -0.320163 | -0.432568 | -0.147150 | 0.085049 | -0.660531 | 0.792660 | 1.785511 | -0.057788 | 0.246200 | -0.445978 | -0.277594 | -0.877232 | -0.426230 | -1.584178 | -0.932014 | -0.678774 | 0.155707 | 1.754054 | -0.491174 | -0.339394 | -0.368715 | -0.595227 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
X1 = X
from sklearn.model_selection import train_test_split
xtrain, xtest,ytrain, ytest = train_test_split(X1, Y, test_size = 0.2, random_state=21)
from statsmodels.api import OLS, add_constant
xconst = add_constant(xtrain)
ols = OLS(ytrain, xconst)
model = ols.fit()
model.summary()
| Dep. Variable: | MonthlyRate | R-squared: | 0.033 |
|---|---|---|---|
| Model: | OLS | Adj. R-squared: | -0.004 |
| Method: | Least Squares | F-statistic: | 0.8831 |
| Date: | Fri, 04 Feb 2022 | Prob (F-statistic): | 0.689 |
| Time: | 13:21:40 | Log-Likelihood: | -12077. |
| No. Observations: | 1176 | AIC: | 2.424e+04 |
| Df Residuals: | 1131 | BIC: | 2.447e+04 |
| Df Model: | 44 | ||
| Covariance Type: | nonrobust |
| coef | std err | t | P>|t| | [0.025 | 0.975] | |
|---|---|---|---|---|---|---|
| const | -1.445e+16 | 1.59e+16 | -0.909 | 0.363 | -4.57e+16 | 1.67e+16 |
| Attrition | 55.0975 | 240.753 | 0.229 | 0.819 | -417.275 | 527.470 |
| Age | 298.7025 | 305.460 | 0.978 | 0.328 | -300.629 | 898.034 |
| DailyRate | -183.6141 | 211.315 | -0.869 | 0.385 | -598.227 | 230.999 |
| DistanceFromHome | 336.9829 | 211.419 | 1.594 | 0.111 | -77.835 | 751.801 |
| Education | -263.1643 | 214.022 | -1.230 | 0.219 | -683.090 | 156.761 |
| EnvironmentSatisfaction | 486.1152 | 213.609 | 2.276 | 0.023 | 67.001 | 905.229 |
| HourlyRate | -22.4649 | 211.382 | -0.106 | 0.915 | -437.209 | 392.279 |
| JobInvolvement | -235.2686 | 213.422 | -1.102 | 0.271 | -654.016 | 183.479 |
| JobLevel | 391.7885 | 772.086 | 0.507 | 0.612 | -1123.094 | 1906.671 |
| JobSatisfaction | -34.7996 | 211.295 | -0.165 | 0.869 | -449.373 | 379.774 |
| MonthlyIncome | -960.6465 | 878.010 | -1.094 | 0.274 | -2683.357 | 762.065 |
| NumCompaniesWorked | 63.6222 | 235.808 | 0.270 | 0.787 | -399.048 | 526.292 |
| PercentSalaryHike | -20.4557 | 329.685 | -0.062 | 0.951 | -667.318 | 626.407 |
| PerformanceRating | -82.4763 | 338.469 | -0.244 | 0.808 | -746.575 | 581.622 |
| RelationshipSatisfaction | 13.4784 | 211.993 | 0.064 | 0.949 | -402.465 | 429.422 |
| StockOptionLevel | -189.4367 | 284.230 | -0.666 | 0.505 | -747.113 | 368.240 |
| TotalWorkingYears | 48.4106 | 478.635 | 0.101 | 0.919 | -890.703 | 987.524 |
| TrainingTimesLastYear | 33.2005 | 215.341 | 0.154 | 0.877 | -389.312 | 455.713 |
| WorkLifeBalance | 153.3362 | 211.135 | 0.726 | 0.468 | -260.924 | 567.596 |
| YearsAtCompany | -365.8887 | 456.528 | -0.801 | 0.423 | -1261.626 | 529.848 |
| YearsInCurrentRole | -44.6360 | 343.224 | -0.130 | 0.897 | -718.064 | 628.791 |
| YearsSinceLastPromotion | 163.4164 | 281.274 | 0.581 | 0.561 | -388.461 | 715.294 |
| YearsWithCurrManager | -308.5210 | 344.059 | -0.897 | 0.370 | -983.587 | 366.545 |
| BusinessTravel_Non-Travel | -1.759e+16 | 1.94e+16 | -0.909 | 0.363 | -5.56e+16 | 2.04e+16 |
| BusinessTravel_Travel_Frequently | -1.759e+16 | 1.94e+16 | -0.909 | 0.363 | -5.56e+16 | 2.04e+16 |
| BusinessTravel_Travel_Rarely | -1.759e+16 | 1.94e+16 | -0.909 | 0.363 | -5.56e+16 | 2.04e+16 |
| Department_Human Resources | 1.391e+16 | 1.53e+16 | 0.909 | 0.363 | -1.61e+16 | 4.39e+16 |
| Department_Research & Development | 1.391e+16 | 1.53e+16 | 0.909 | 0.363 | -1.61e+16 | 4.39e+16 |
| Department_Sales | 1.391e+16 | 1.53e+16 | 0.909 | 0.363 | -1.61e+16 | 4.39e+16 |
| EducationField_Human Resources | -5.063e+15 | 5.57e+15 | -0.909 | 0.363 | -1.6e+16 | 5.86e+15 |
| EducationField_Life Sciences | -5.063e+15 | 5.57e+15 | -0.909 | 0.363 | -1.6e+16 | 5.86e+15 |
| EducationField_Marketing | -5.063e+15 | 5.57e+15 | -0.909 | 0.363 | -1.6e+16 | 5.86e+15 |
| EducationField_Medical | -5.063e+15 | 5.57e+15 | -0.909 | 0.363 | -1.6e+16 | 5.86e+15 |
| EducationField_Other | -5.063e+15 | 5.57e+15 | -0.909 | 0.363 | -1.6e+16 | 5.86e+15 |
| EducationField_Technical Degree | -5.063e+15 | 5.57e+15 | -0.909 | 0.363 | -1.6e+16 | 5.86e+15 |
| Gender_Female | 5.565e+15 | 6.12e+15 | 0.909 | 0.363 | -6.45e+15 | 1.76e+16 |
| Gender_Male | 5.565e+15 | 6.12e+15 | 0.909 | 0.363 | -6.45e+15 | 1.76e+16 |
| JobRole_Healthcare Representative | -3.136e+15 | 3.45e+15 | -0.909 | 0.363 | -9.9e+15 | 3.63e+15 |
| JobRole_Human Resources | -3.136e+15 | 3.45e+15 | -0.909 | 0.363 | -9.9e+15 | 3.63e+15 |
| JobRole_Laboratory Technician | -3.136e+15 | 3.45e+15 | -0.909 | 0.363 | -9.9e+15 | 3.63e+15 |
| JobRole_Manager | -3.136e+15 | 3.45e+15 | -0.909 | 0.363 | -9.9e+15 | 3.63e+15 |
| JobRole_Manufacturing Director | -3.136e+15 | 3.45e+15 | -0.909 | 0.363 | -9.9e+15 | 3.63e+15 |
| JobRole_Research Director | -3.136e+15 | 3.45e+15 | -0.909 | 0.363 | -9.9e+15 | 3.63e+15 |
| JobRole_Research Scientist | -3.136e+15 | 3.45e+15 | -0.909 | 0.363 | -9.9e+15 | 3.63e+15 |
| JobRole_Sales Executive | -3.136e+15 | 3.45e+15 | -0.909 | 0.363 | -9.9e+15 | 3.63e+15 |
| JobRole_Sales Representative | -3.136e+15 | 3.45e+15 | -0.909 | 0.363 | -9.9e+15 | 3.63e+15 |
| MaritalStatus_Divorced | -1.414e+16 | 1.56e+16 | -0.909 | 0.363 | -4.47e+16 | 1.64e+16 |
| MaritalStatus_Married | -1.414e+16 | 1.56e+16 | -0.909 | 0.363 | -4.47e+16 | 1.64e+16 |
| MaritalStatus_Single | -1.414e+16 | 1.56e+16 | -0.909 | 0.363 | -4.47e+16 | 1.64e+16 |
| OverTime_No | 3.492e+16 | 3.84e+16 | 0.909 | 0.363 | -4.04e+16 | 1.1e+17 |
| OverTime_Yes | 3.492e+16 | 3.84e+16 | 0.909 | 0.363 | -4.04e+16 | 1.1e+17 |
| Omnibus: | 507.575 | Durbin-Watson: | 1.939 |
|---|---|---|---|
| Prob(Omnibus): | 0.000 | Jarque-Bera (JB): | 62.858 |
| Skew: | 0.079 | Prob(JB): | 2.24e-14 |
| Kurtosis: | 1.878 | Cond. No. | 1.26e+16 |
model.pvalues.sort_values()
EnvironmentSatisfaction 0.023049 DistanceFromHome 0.111236 Education 0.219098 JobInvolvement 0.270538 MonthlyIncome 0.274136 Age 0.328344 Gender_Female 0.363495 Gender_Male 0.363495 JobRole_Research Scientist 0.363495 EducationField_Other 0.363495 Department_Research & Development 0.363495 JobRole_Laboratory Technician 0.363495 JobRole_Healthcare Representative 0.363495 Department_Sales 0.363495 OverTime_Yes 0.363495 OverTime_No 0.363495 JobRole_Human Resources 0.363495 JobRole_Manufacturing Director 0.363495 Department_Human Resources 0.363495 EducationField_Technical Degree 0.363495 BusinessTravel_Non-Travel 0.363495 EducationField_Medical 0.363495 MaritalStatus_Married 0.363495 BusinessTravel_Travel_Rarely 0.363495 BusinessTravel_Travel_Frequently 0.363495 EducationField_Marketing 0.363495 MaritalStatus_Single 0.363495 EducationField_Life Sciences 0.363495 MaritalStatus_Divorced 0.363495 JobRole_Sales Representative 0.363495 const 0.363495 JobRole_Sales Executive 0.363495 JobRole_Research Director 0.363495 JobRole_Manager 0.363495 EducationField_Human Resources 0.363495 YearsWithCurrManager 0.370065 DailyRate 0.385079 YearsAtCompany 0.423034 WorkLifeBalance 0.467837 StockOptionLevel 0.505233 YearsSinceLastPromotion 0.561365 JobLevel 0.611944 NumCompaniesWorked 0.787359 PerformanceRating 0.807527 Attrition 0.819023 JobSatisfaction 0.869212 TrainingTimesLastYear 0.877498 YearsInCurrentRole 0.896551 HourlyRate 0.915382 TotalWorkingYears 0.919455 RelationshipSatisfaction 0.949316 PercentSalaryHike 0.950537 dtype: float64
from re import M
q = pd.DataFrame(model.pvalues, columns = ["Pvalues"])
m = []
for i in q.Pvalues:
m.append(round(i,3))
q.Pvalues = m
drpd_clms = q[q.Pvalues > 0.9].index
drpd_clms
Index(['HourlyRate', 'PercentSalaryHike', 'RelationshipSatisfaction',
'TotalWorkingYears'],
dtype='object')
X1 = X1.drop(drpd_clms, axis = 1)
from sklearn.model_selection import train_test_split
xtrain, xtest,ytrain, ytest = train_test_split(X1, Y, test_size = 0.2, random_state=21)
from statsmodels.api import OLS, add_constant
xconst = add_constant(xtrain)
ols = OLS(ytrain, xconst)
model = ols.fit()
model.summary()
| Dep. Variable: | MonthlyRate | R-squared: | 0.033 |
|---|---|---|---|
| Model: | OLS | Adj. R-squared: | -0.001 |
| Method: | Least Squares | F-statistic: | 0.9673 |
| Date: | Fri, 04 Feb 2022 | Prob (F-statistic): | 0.530 |
| Time: | 13:21:40 | Log-Likelihood: | -12077. |
| No. Observations: | 1176 | AIC: | 2.424e+04 |
| Df Residuals: | 1135 | BIC: | 2.444e+04 |
| Df Model: | 40 | ||
| Covariance Type: | nonrobust |
| coef | std err | t | P>|t| | [0.025 | 0.975] | |
|---|---|---|---|---|---|---|
| const | -1.517e+16 | 1.55e+16 | -0.976 | 0.329 | -4.57e+16 | 1.53e+16 |
| Attrition | 77.2780 | 240.521 | 0.321 | 0.748 | -394.638 | 549.194 |
| Age | 340.7013 | 264.364 | 1.289 | 0.198 | -177.996 | 859.399 |
| DailyRate | -201.2777 | 210.886 | -0.954 | 0.340 | -615.049 | 212.493 |
| DistanceFromHome | 328.0889 | 210.519 | 1.558 | 0.119 | -84.961 | 741.139 |
| Education | -280.4090 | 214.684 | -1.306 | 0.192 | -701.631 | 140.813 |
| EnvironmentSatisfaction | 500.2943 | 213.042 | 2.348 | 0.019 | 82.294 | 918.295 |
| JobInvolvement | -227.8098 | 212.324 | -1.073 | 0.284 | -644.400 | 188.781 |
| JobLevel | 411.9789 | 756.104 | 0.545 | 0.586 | -1071.539 | 1895.497 |
| JobSatisfaction | -29.2593 | 209.851 | -0.139 | 0.889 | -440.999 | 382.481 |
| MonthlyIncome | -941.1652 | 867.009 | -1.086 | 0.278 | -2642.285 | 759.954 |
| NumCompaniesWorked | 61.4078 | 229.389 | 0.268 | 0.789 | -388.666 | 511.481 |
| PerformanceRating | -109.6781 | 217.275 | -0.505 | 0.614 | -535.984 | 316.627 |
| StockOptionLevel | -175.8570 | 282.903 | -0.622 | 0.534 | -730.928 | 379.214 |
| TrainingTimesLastYear | 29.0086 | 214.816 | 0.135 | 0.893 | -392.473 | 450.490 |
| WorkLifeBalance | 153.0724 | 210.677 | 0.727 | 0.468 | -260.287 | 566.432 |
| YearsAtCompany | -349.6042 | 436.995 | -0.800 | 0.424 | -1207.012 | 507.804 |
| YearsInCurrentRole | -48.4651 | 342.100 | -0.142 | 0.887 | -719.684 | 622.754 |
| YearsSinceLastPromotion | 163.2809 | 280.604 | 0.582 | 0.561 | -387.280 | 713.842 |
| YearsWithCurrManager | -302.8820 | 342.998 | -0.883 | 0.377 | -975.864 | 370.100 |
| BusinessTravel_Non-Travel | 3.085e+16 | 3.16e+16 | 0.976 | 0.329 | -3.11e+16 | 9.28e+16 |
| BusinessTravel_Travel_Frequently | 3.085e+16 | 3.16e+16 | 0.976 | 0.329 | -3.11e+16 | 9.28e+16 |
| BusinessTravel_Travel_Rarely | 3.085e+16 | 3.16e+16 | 0.976 | 0.329 | -3.11e+16 | 9.28e+16 |
| Department_Human Resources | 1.822e+16 | 1.87e+16 | 0.976 | 0.329 | -1.84e+16 | 5.48e+16 |
| Department_Research & Development | 1.822e+16 | 1.87e+16 | 0.976 | 0.329 | -1.84e+16 | 5.48e+16 |
| Department_Sales | 1.822e+16 | 1.87e+16 | 0.976 | 0.329 | -1.84e+16 | 5.48e+16 |
| EducationField_Human Resources | -6.424e+15 | 6.58e+15 | -0.976 | 0.329 | -1.93e+16 | 6.48e+15 |
| EducationField_Life Sciences | -6.424e+15 | 6.58e+15 | -0.976 | 0.329 | -1.93e+16 | 6.48e+15 |
| EducationField_Marketing | -6.424e+15 | 6.58e+15 | -0.976 | 0.329 | -1.93e+16 | 6.48e+15 |
| EducationField_Medical | -6.424e+15 | 6.58e+15 | -0.976 | 0.329 | -1.93e+16 | 6.48e+15 |
| EducationField_Other | -6.424e+15 | 6.58e+15 | -0.976 | 0.329 | -1.93e+16 | 6.48e+15 |
| EducationField_Technical Degree | -6.424e+15 | 6.58e+15 | -0.976 | 0.329 | -1.93e+16 | 6.48e+15 |
| Gender_Female | 8.733e+15 | 8.94e+15 | 0.976 | 0.329 | -8.81e+15 | 2.63e+16 |
| Gender_Male | 8.733e+15 | 8.94e+15 | 0.976 | 0.329 | -8.81e+15 | 2.63e+16 |
| JobRole_Healthcare Representative | -3.339e+15 | 3.42e+15 | -0.976 | 0.329 | -1e+16 | 3.37e+15 |
| JobRole_Human Resources | -3.339e+15 | 3.42e+15 | -0.976 | 0.329 | -1e+16 | 3.37e+15 |
| JobRole_Laboratory Technician | -3.339e+15 | 3.42e+15 | -0.976 | 0.329 | -1e+16 | 3.37e+15 |
| JobRole_Manager | -3.339e+15 | 3.42e+15 | -0.976 | 0.329 | -1e+16 | 3.37e+15 |
| JobRole_Manufacturing Director | -3.339e+15 | 3.42e+15 | -0.976 | 0.329 | -1e+16 | 3.37e+15 |
| JobRole_Research Director | -3.339e+15 | 3.42e+15 | -0.976 | 0.329 | -1e+16 | 3.37e+15 |
| JobRole_Research Scientist | -3.339e+15 | 3.42e+15 | -0.976 | 0.329 | -1e+16 | 3.37e+15 |
| JobRole_Sales Executive | -3.339e+15 | 3.42e+15 | -0.976 | 0.329 | -1e+16 | 3.37e+15 |
| JobRole_Sales Representative | -3.339e+15 | 3.42e+15 | -0.976 | 0.329 | -1e+16 | 3.37e+15 |
| MaritalStatus_Divorced | 2.041e+15 | 2.09e+15 | 0.976 | 0.329 | -2.06e+15 | 6.14e+15 |
| MaritalStatus_Married | 2.041e+15 | 2.09e+15 | 0.976 | 0.329 | -2.06e+15 | 6.14e+15 |
| MaritalStatus_Single | 2.041e+15 | 2.09e+15 | 0.976 | 0.329 | -2.06e+15 | 6.14e+15 |
| OverTime_No | -3.491e+16 | 3.58e+16 | -0.976 | 0.329 | -1.05e+17 | 3.52e+16 |
| OverTime_Yes | -3.491e+16 | 3.58e+16 | -0.976 | 0.329 | -1.05e+17 | 3.52e+16 |
| Omnibus: | 473.086 | Durbin-Watson: | 1.943 |
|---|---|---|---|
| Prob(Omnibus): | 0.000 | Jarque-Bera (JB): | 61.656 |
| Skew: | 0.080 | Prob(JB): | 4.09e-14 |
| Kurtosis: | 1.890 | Cond. No. | 1.17e+16 |
q = pd.DataFrame(model.pvalues, columns = ["Pvalues"])
m = []
for i in q.Pvalues:
m.append(round(i,3))
q.Pvalues = m
drpd_clms = q[q.Pvalues > 0.8].index
drpd_clms
Index(['JobSatisfaction', 'TrainingTimesLastYear', 'YearsInCurrentRole'], dtype='object')
X1 = X1.drop(drpd_clms, axis = 1)
from sklearn.model_selection import train_test_split
xtrain, xtest,ytrain, ytest = train_test_split(X1, Y, test_size = 0.2, random_state=21)
from statsmodels.api import OLS, add_constant
xconst = add_constant(xtrain)
ols = OLS(ytrain, xconst)
model = ols.fit()
model.summary()
| Dep. Variable: | MonthlyRate | R-squared: | 0.033 |
|---|---|---|---|
| Model: | OLS | Adj. R-squared: | 0.002 |
| Method: | Least Squares | F-statistic: | 1.053 |
| Date: | Fri, 04 Feb 2022 | Prob (F-statistic): | 0.384 |
| Time: | 13:21:40 | Log-Likelihood: | -12077. |
| No. Observations: | 1176 | AIC: | 2.423e+04 |
| Df Residuals: | 1138 | BIC: | 2.442e+04 |
| Df Model: | 37 | ||
| Covariance Type: | nonrobust |
| coef | std err | t | P>|t| | [0.025 | 0.975] | |
|---|---|---|---|---|---|---|
| const | -8.974e+15 | 1.03e+16 | -0.870 | 0.384 | -2.92e+16 | 1.13e+16 |
| Attrition | 55.3147 | 236.463 | 0.234 | 0.815 | -408.638 | 519.268 |
| Age | 339.4669 | 263.853 | 1.287 | 0.199 | -178.226 | 857.160 |
| DailyRate | -198.3942 | 210.124 | -0.944 | 0.345 | -610.668 | 213.879 |
| DistanceFromHome | 324.1128 | 210.184 | 1.542 | 0.123 | -88.279 | 736.504 |
| Education | -274.3332 | 214.029 | -1.282 | 0.200 | -694.268 | 145.602 |
| EnvironmentSatisfaction | 500.0974 | 212.675 | 2.351 | 0.019 | 82.818 | 917.376 |
| JobInvolvement | -227.9534 | 211.828 | -1.076 | 0.282 | -643.570 | 187.663 |
| JobLevel | 406.3416 | 755.408 | 0.538 | 0.591 | -1075.807 | 1888.490 |
| MonthlyIncome | -896.2061 | 869.313 | -1.031 | 0.303 | -2601.842 | 809.430 |
| NumCompaniesWorked | 68.0163 | 228.578 | 0.298 | 0.766 | -380.465 | 516.498 |
| PerformanceRating | -96.5287 | 215.409 | -0.448 | 0.654 | -519.172 | 326.115 |
| StockOptionLevel | -188.4535 | 281.846 | -0.669 | 0.504 | -741.449 | 364.542 |
| WorkLifeBalance | 156.5437 | 209.514 | 0.747 | 0.455 | -254.533 | 567.621 |
| YearsAtCompany | -357.4432 | 399.247 | -0.895 | 0.371 | -1140.786 | 425.900 |
| YearsSinceLastPromotion | 160.8543 | 278.336 | 0.578 | 0.563 | -385.255 | 706.963 |
| YearsWithCurrManager | -339.4894 | 330.231 | -1.028 | 0.304 | -987.420 | 308.441 |
| BusinessTravel_Non-Travel | 3.785e+16 | 4.35e+16 | 0.870 | 0.384 | -4.75e+16 | 1.23e+17 |
| BusinessTravel_Travel_Frequently | 3.785e+16 | 4.35e+16 | 0.870 | 0.384 | -4.75e+16 | 1.23e+17 |
| BusinessTravel_Travel_Rarely | 3.785e+16 | 4.35e+16 | 0.870 | 0.384 | -4.75e+16 | 1.23e+17 |
| Department_Human Resources | 5.879e+15 | 6.76e+15 | 0.870 | 0.384 | -7.38e+15 | 1.91e+16 |
| Department_Research & Development | 5.879e+15 | 6.76e+15 | 0.870 | 0.384 | -7.38e+15 | 1.91e+16 |
| Department_Sales | 5.879e+15 | 6.76e+15 | 0.870 | 0.384 | -7.38e+15 | 1.91e+16 |
| EducationField_Human Resources | -6.894e+15 | 7.92e+15 | -0.870 | 0.384 | -2.24e+16 | 8.65e+15 |
| EducationField_Life Sciences | -6.894e+15 | 7.92e+15 | -0.870 | 0.384 | -2.24e+16 | 8.65e+15 |
| EducationField_Marketing | -6.894e+15 | 7.92e+15 | -0.870 | 0.384 | -2.24e+16 | 8.65e+15 |
| EducationField_Medical | -6.894e+15 | 7.92e+15 | -0.870 | 0.384 | -2.24e+16 | 8.65e+15 |
| EducationField_Other | -6.894e+15 | 7.92e+15 | -0.870 | 0.384 | -2.24e+16 | 8.65e+15 |
| EducationField_Technical Degree | -6.894e+15 | 7.92e+15 | -0.870 | 0.384 | -2.24e+16 | 8.65e+15 |
| Gender_Female | 1.512e+16 | 1.74e+16 | 0.870 | 0.384 | -1.9e+16 | 4.92e+16 |
| Gender_Male | 1.512e+16 | 1.74e+16 | 0.870 | 0.384 | -1.9e+16 | 4.92e+16 |
| JobRole_Healthcare Representative | -3.52e+15 | 4.05e+15 | -0.870 | 0.384 | -1.15e+16 | 4.42e+15 |
| JobRole_Human Resources | -3.52e+15 | 4.05e+15 | -0.870 | 0.384 | -1.15e+16 | 4.42e+15 |
| JobRole_Laboratory Technician | -3.52e+15 | 4.05e+15 | -0.870 | 0.384 | -1.15e+16 | 4.42e+15 |
| JobRole_Manager | -3.52e+15 | 4.05e+15 | -0.870 | 0.384 | -1.15e+16 | 4.42e+15 |
| JobRole_Manufacturing Director | -3.52e+15 | 4.05e+15 | -0.870 | 0.384 | -1.15e+16 | 4.42e+15 |
| JobRole_Research Director | -3.52e+15 | 4.05e+15 | -0.870 | 0.384 | -1.15e+16 | 4.42e+15 |
| JobRole_Research Scientist | -3.52e+15 | 4.05e+15 | -0.870 | 0.384 | -1.15e+16 | 4.42e+15 |
| JobRole_Sales Executive | -3.52e+15 | 4.05e+15 | -0.870 | 0.384 | -1.15e+16 | 4.42e+15 |
| JobRole_Sales Representative | -3.52e+15 | 4.05e+15 | -0.870 | 0.384 | -1.15e+16 | 4.42e+15 |
| MaritalStatus_Divorced | -1.625e+16 | 1.87e+16 | -0.870 | 0.384 | -5.29e+16 | 2.04e+16 |
| MaritalStatus_Married | -1.625e+16 | 1.87e+16 | -0.870 | 0.384 | -5.29e+16 | 2.04e+16 |
| MaritalStatus_Single | -1.625e+16 | 1.87e+16 | -0.870 | 0.384 | -5.29e+16 | 2.04e+16 |
| OverTime_No | -2.321e+16 | 2.67e+16 | -0.870 | 0.384 | -7.56e+16 | 2.91e+16 |
| OverTime_Yes | -2.321e+16 | 2.67e+16 | -0.870 | 0.384 | -7.56e+16 | 2.91e+16 |
| Omnibus: | 497.152 | Durbin-Watson: | 1.939 |
|---|---|---|---|
| Prob(Omnibus): | 0.000 | Jarque-Bera (JB): | 62.490 |
| Skew: | 0.079 | Prob(JB): | 2.69e-14 |
| Kurtosis: | 1.882 | Cond. No. | 1.60e+16 |
from re import M
q = pd.DataFrame(model.pvalues, columns = ["Pvalues"])
m = []
for i in q.Pvalues:
m.append(round(i,3))
q.Pvalues = m
drpd_clms = q[q.Pvalues > 0.7].index
drpd_clms
Index(['Attrition', 'NumCompaniesWorked'], dtype='object')
X1 = X1.drop(drpd_clms, axis = 1)
from sklearn.model_selection import train_test_split
xtrain, xtest,ytrain, ytest = train_test_split(X1, Y, test_size = 0.2, random_state=21)
from statsmodels.api import OLS, add_constant
xconst = add_constant(xtrain)
ols = OLS(ytrain, xconst)
model = ols.fit()
model.summary()
| Dep. Variable: | MonthlyRate | R-squared: | 0.032 |
|---|---|---|---|
| Model: | OLS | Adj. R-squared: | 0.003 |
| Method: | Least Squares | F-statistic: | 1.089 |
| Date: | Fri, 04 Feb 2022 | Prob (F-statistic): | 0.333 |
| Time: | 13:21:40 | Log-Likelihood: | -12077. |
| No. Observations: | 1176 | AIC: | 2.423e+04 |
| Df Residuals: | 1140 | BIC: | 2.441e+04 |
| Df Model: | 35 | ||
| Covariance Type: | nonrobust |
| coef | std err | t | P>|t| | [0.025 | 0.975] | |
|---|---|---|---|---|---|---|
| const | -3.264e+16 | 2.68e+16 | -1.217 | 0.224 | -8.52e+16 | 2e+16 |
| Age | 352.6210 | 254.561 | 1.385 | 0.166 | -146.840 | 852.082 |
| DailyRate | -200.5853 | 209.525 | -0.957 | 0.339 | -611.683 | 210.513 |
| DistanceFromHome | 333.9129 | 209.252 | 1.596 | 0.111 | -76.649 | 744.475 |
| Education | -251.5467 | 212.235 | -1.185 | 0.236 | -667.963 | 164.869 |
| EnvironmentSatisfaction | 479.3843 | 210.233 | 2.280 | 0.023 | 66.898 | 891.871 |
| JobInvolvement | -233.9587 | 209.515 | -1.117 | 0.264 | -645.037 | 177.120 |
| JobLevel | 409.6049 | 754.528 | 0.543 | 0.587 | -1070.815 | 1890.025 |
| MonthlyIncome | -901.9764 | 865.201 | -1.043 | 0.297 | -2599.542 | 795.589 |
| PerformanceRating | -106.3710 | 215.392 | -0.494 | 0.622 | -528.980 | 316.238 |
| StockOptionLevel | -178.4928 | 281.507 | -0.634 | 0.526 | -730.823 | 373.837 |
| WorkLifeBalance | 139.8863 | 209.367 | 0.668 | 0.504 | -270.901 | 550.674 |
| YearsAtCompany | -388.7480 | 391.483 | -0.993 | 0.321 | -1156.856 | 379.360 |
| YearsSinceLastPromotion | 160.2822 | 276.259 | 0.580 | 0.562 | -381.750 | 702.314 |
| YearsWithCurrManager | -338.9006 | 328.951 | -1.030 | 0.303 | -984.319 | 306.517 |
| BusinessTravel_Non-Travel | 2.373e+16 | 1.95e+16 | 1.217 | 0.224 | -1.45e+16 | 6.2e+16 |
| BusinessTravel_Travel_Frequently | 2.373e+16 | 1.95e+16 | 1.217 | 0.224 | -1.45e+16 | 6.2e+16 |
| BusinessTravel_Travel_Rarely | 2.373e+16 | 1.95e+16 | 1.217 | 0.224 | -1.45e+16 | 6.2e+16 |
| Department_Human Resources | 1.32e+16 | 1.08e+16 | 1.217 | 0.224 | -8.08e+15 | 3.45e+16 |
| Department_Research & Development | 1.32e+16 | 1.08e+16 | 1.217 | 0.224 | -8.08e+15 | 3.45e+16 |
| Department_Sales | 1.32e+16 | 1.08e+16 | 1.217 | 0.224 | -8.08e+15 | 3.45e+16 |
| EducationField_Human Resources | -9.851e+15 | 8.09e+15 | -1.217 | 0.224 | -2.57e+16 | 6.03e+15 |
| EducationField_Life Sciences | -9.851e+15 | 8.09e+15 | -1.217 | 0.224 | -2.57e+16 | 6.03e+15 |
| EducationField_Marketing | -9.851e+15 | 8.09e+15 | -1.217 | 0.224 | -2.57e+16 | 6.03e+15 |
| EducationField_Medical | -9.851e+15 | 8.09e+15 | -1.217 | 0.224 | -2.57e+16 | 6.03e+15 |
| EducationField_Other | -9.851e+15 | 8.09e+15 | -1.217 | 0.224 | -2.57e+16 | 6.03e+15 |
| EducationField_Technical Degree | -9.851e+15 | 8.09e+15 | -1.217 | 0.224 | -2.57e+16 | 6.03e+15 |
| Gender_Female | -2.472e+15 | 2.03e+15 | -1.217 | 0.224 | -6.46e+15 | 1.51e+15 |
| Gender_Male | -2.472e+15 | 2.03e+15 | -1.217 | 0.224 | -6.46e+15 | 1.51e+15 |
| JobRole_Healthcare Representative | -5.806e+15 | 4.77e+15 | -1.217 | 0.224 | -1.52e+16 | 3.55e+15 |
| JobRole_Human Resources | -5.806e+15 | 4.77e+15 | -1.217 | 0.224 | -1.52e+16 | 3.55e+15 |
| JobRole_Laboratory Technician | -5.806e+15 | 4.77e+15 | -1.217 | 0.224 | -1.52e+16 | 3.55e+15 |
| JobRole_Manager | -5.806e+15 | 4.77e+15 | -1.217 | 0.224 | -1.52e+16 | 3.55e+15 |
| JobRole_Manufacturing Director | -5.806e+15 | 4.77e+15 | -1.217 | 0.224 | -1.52e+16 | 3.55e+15 |
| JobRole_Research Director | -5.806e+15 | 4.77e+15 | -1.217 | 0.224 | -1.52e+16 | 3.55e+15 |
| JobRole_Research Scientist | -5.806e+15 | 4.77e+15 | -1.217 | 0.224 | -1.52e+16 | 3.55e+15 |
| JobRole_Sales Executive | -5.806e+15 | 4.77e+15 | -1.217 | 0.224 | -1.52e+16 | 3.55e+15 |
| JobRole_Sales Representative | -5.806e+15 | 4.77e+15 | -1.217 | 0.224 | -1.52e+16 | 3.55e+15 |
| MaritalStatus_Divorced | -2.374e+16 | 1.95e+16 | -1.217 | 0.224 | -6.2e+16 | 1.45e+16 |
| MaritalStatus_Married | -2.374e+16 | 1.95e+16 | -1.217 | 0.224 | -6.2e+16 | 1.45e+16 |
| MaritalStatus_Single | -2.374e+16 | 1.95e+16 | -1.217 | 0.224 | -6.2e+16 | 1.45e+16 |
| OverTime_No | 3.758e+16 | 3.09e+16 | 1.217 | 0.224 | -2.3e+16 | 9.81e+16 |
| OverTime_Yes | 3.758e+16 | 3.09e+16 | 1.217 | 0.224 | -2.3e+16 | 9.81e+16 |
| Omnibus: | 503.850 | Durbin-Watson: | 1.936 |
|---|---|---|---|
| Prob(Omnibus): | 0.000 | Jarque-Bera (JB): | 62.736 |
| Skew: | 0.079 | Prob(JB): | 2.38e-14 |
| Kurtosis: | 1.880 | Cond. No. | 1.16e+16 |
from re import M
q = pd.DataFrame(model.pvalues, columns = ["Pvalues"])
m = []
for i in q.Pvalues:
m.append(round(i,3))
q.Pvalues = m
drpd_clms = q[q.Pvalues > 0.04].index
drpd_clms
Index(['const', 'Age', 'DailyRate', 'DistanceFromHome', 'Education',
'JobInvolvement', 'JobLevel', 'MonthlyIncome', 'PerformanceRating',
'StockOptionLevel', 'WorkLifeBalance', 'YearsAtCompany',
'YearsSinceLastPromotion', 'YearsWithCurrManager',
'BusinessTravel_Non-Travel', 'BusinessTravel_Travel_Frequently',
'BusinessTravel_Travel_Rarely', 'Department_Human Resources',
'Department_Research & Development', 'Department_Sales',
'EducationField_Human Resources', 'EducationField_Life Sciences',
'EducationField_Marketing', 'EducationField_Medical',
'EducationField_Other', 'EducationField_Technical Degree',
'Gender_Female', 'Gender_Male', 'JobRole_Healthcare Representative',
'JobRole_Human Resources', 'JobRole_Laboratory Technician',
'JobRole_Manager', 'JobRole_Manufacturing Director',
'JobRole_Research Director', 'JobRole_Research Scientist',
'JobRole_Sales Executive', 'JobRole_Sales Representative',
'MaritalStatus_Divorced', 'MaritalStatus_Married',
'MaritalStatus_Single', 'OverTime_No', 'OverTime_Yes'],
dtype='object')
from sklearn.model_selection import train_test_split
xtrain, xtest,ytrain, ytest = train_test_split(X1, Y, test_size = 0.2, random_state=21)
from sklearn.linear_model import LinearRegression
lr = LinearRegression()
modelr = lr.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import mean_absolute_error
print("train Error ====>", round(mean_absolute_error(predtr, ytrain),20))
print("test Error ====>", round(mean_absolute_error(predts, ytest),20))
train Error ====> 6019.876222363946 test Error ====> 6430.699723639455
cat = []
con = []
for i in A.columns:
if A[i].dtypes =="object":
cat.append(i)
else:
con.append(i)
con
['Attrition', 'Age', 'DailyRate', 'DistanceFromHome', 'Education', 'EmployeeCount', 'EmployeeNumber', 'EnvironmentSatisfaction', 'HourlyRate', 'JobInvolvement', 'JobLevel', 'JobSatisfaction', 'MonthlyIncome', 'MonthlyRate', 'NumCompaniesWorked', 'PercentSalaryHike', 'PerformanceRating', 'RelationshipSatisfaction', 'StandardHours', 'StockOptionLevel', 'TotalWorkingYears', 'TrainingTimesLastYear', 'WorkLifeBalance', 'YearsAtCompany', 'YearsInCurrentRole', 'YearsSinceLastPromotion', 'YearsWithCurrManager']
cat
['BusinessTravel', 'Department', 'EducationField', 'Gender', 'JobRole', 'MaritalStatus', 'Over18', 'OverTime']
from statsmodels.api import OLS
from statsmodels.formula.api import ols
model = ols("EmployeeCount ~ MaritalStatus" , A).fit()
from statsmodels.stats.anova import anova_lm
anova_result = anova_lm(model)
Df = pd.DataFrame(anova_result)
Df
| df | sum_sq | mean_sq | F | PR(>F) | |
|---|---|---|---|---|---|
| MaritalStatus | 2.0 | 1.240117e-28 | 6.200583e-29 | 2.94557 | 0.052883 |
| Residual | 1467.0 | 3.088114e-26 | 2.105054e-29 | NaN | NaN |
from statsmodels.api import OLS
from statsmodels.formula.api import ols
model = ols("EmployeeCount ~ MaritalStatus" , A).fit()
from statsmodels.stats.anova import anova_lm
anova_result = anova_lm(model)
Df = pd.DataFrame(anova_result)
q = Df['PR(>F)'][0]
q
0.05288312282841075
from statsmodels.api import OLS
from statsmodels.formula.api import ols
model = ols("EmployeeCount ~ MaritalStatus" , A).fit()
from statsmodels.stats.anova import anova_lm
anova_result = anova_lm(model)
Df = pd.DataFrame(anova_result)
q = Df['PR(>F)']["MaritalStatus"]
round(q,4)
0.0529
def anova(df, cat, con):
from statsmodels.formula.api import ols
from statsmodels.stats.anova import anova_lm
rel = con + "~" + cat
model = ols(rel,df).fit()
anova_result = anova_lm(model)
Df = pd.DataFrame(anova_result)
q = Df['PR(>F)'][cat]
q = round(q,4)
return q
anova(A,'MaritalStatus' ,'EmployeeCount')
0.0529
d = pd.DataFrame([cat,con]).T
d.columns = ["Cate", "Cont"]
d
| Cate | Cont | |
|---|---|---|
| 0 | BusinessTravel | Attrition |
| 1 | Department | Age |
| 2 | EducationField | DailyRate |
| 3 | Gender | DistanceFromHome |
| 4 | JobRole | Education |
| 5 | MaritalStatus | EmployeeCount |
| 6 | Over18 | EmployeeNumber |
| 7 | OverTime | EnvironmentSatisfaction |
| 8 | None | HourlyRate |
| 9 | None | JobInvolvement |
| 10 | None | JobLevel |
| 11 | None | JobSatisfaction |
| 12 | None | MonthlyIncome |
| 13 | None | MonthlyRate |
| 14 | None | NumCompaniesWorked |
| 15 | None | PercentSalaryHike |
| 16 | None | PerformanceRating |
| 17 | None | RelationshipSatisfaction |
| 18 | None | StandardHours |
| 19 | None | StockOptionLevel |
| 20 | None | TotalWorkingYears |
| 21 | None | TrainingTimesLastYear |
| 22 | None | WorkLifeBalance |
| 23 | None | YearsAtCompany |
| 24 | None | YearsInCurrentRole |
| 25 | None | YearsSinceLastPromotion |
| 26 | None | YearsWithCurrManager |
v= list(d["Cont"])
v[0]
'Attrition'
a = anova(A,'BusinessTravel','Attrition' )
print('BusinessTravel ~ Attrition:',a)
a = anova(A,'BusinessTravel','Age' )
print('BusinessTravel ~ Age:',a)
a = anova(A,'BusinessTravel','DailyRate' )
print('BusinessTravel ~ DailyRate:',a)
a = anova(A,'BusinessTravel','Attrition' )
print('BusinessTravel ~ Attrition:',a)
a = anova(A,'BusinessTravel','Attrition' )
print('BusinessTravel ~ Attrition:',a)
a = anova(A,'BusinessTravel','Attrition' )
print('BusinessTravel ~ Attrition:',a)
a = anova(A,'BusinessTravel','Attrition' )
print('BusinessTravel ~ Attrition:',a)
a = anova(A,'BusinessTravel','Attrition' )
print('BusinessTravel ~ Attrition:',a)
a = anova(A,'BusinessTravel','Attrition' )
print('BusinessTravel ~ Attrition:',a)
a = anova(A,'BusinessTravel','Attrition' )
print('BusinessTravel ~ Attrition:',a)
BusinessTravel ~ Attrition: 0.0 BusinessTravel ~ Age: 0.5357 BusinessTravel ~ DailyRate: 0.8354 BusinessTravel ~ Attrition: 0.0 BusinessTravel ~ Attrition: 0.0 BusinessTravel ~ Attrition: 0.0 BusinessTravel ~ Attrition: 0.0 BusinessTravel ~ Attrition: 0.0 BusinessTravel ~ Attrition: 0.0 BusinessTravel ~ Attrition: 0.0
print("Anova Testing\n")
for i in range(0,26):
v= list(d["Cont"])
for j in range(0,6):
c = list(d["Cate"])
a = anova(A,c[j],v[i] )
print(c[j], '~', v[i],a)
print("================================")
Anova Testing BusinessTravel ~ Attrition 0.0 Department ~ Attrition 0.0045 EducationField ~ Attrition 0.0067 Gender ~ Attrition 0.2591 JobRole ~ Attrition 0.0 MaritalStatus ~ Attrition 0.0 ================================ BusinessTravel ~ Age 0.5357 Department ~ Age 0.4653 EducationField ~ Age 0.3473 Gender ~ Age 0.1641 JobRole ~ Age 0.0 MaritalStatus ~ Age 0.0 ================================ BusinessTravel ~ DailyRate 0.8354 Department ~ DailyRate 0.5686 EducationField ~ DailyRate 0.0594 Gender ~ DailyRate 0.6535 JobRole ~ DailyRate 0.9238 MaritalStatus ~ DailyRate 0.0135 ================================ BusinessTravel ~ DistanceFromHome 0.6258 Department ~ DistanceFromHome 0.7906 EducationField ~ DistanceFromHome 0.6829 Gender ~ DistanceFromHome 0.9435 JobRole ~ DistanceFromHome 0.6181 MaritalStatus ~ DistanceFromHome 0.4693 ================================ BusinessTravel ~ Education 0.9436 Department ~ Education 0.7535 EducationField ~ Education 0.006 Gender ~ Education 0.5261 JobRole ~ Education 0.0014 MaritalStatus ~ Education 0.9866 ================================ BusinessTravel ~ EmployeeCount 0.0869 Department ~ EmployeeCount 0.0 EducationField ~ EmployeeCount 0.0 Gender ~ EmployeeCount 0.0 JobRole ~ EmployeeCount 0.0 MaritalStatus ~ EmployeeCount 0.0529 ================================ BusinessTravel ~ EmployeeNumber 0.685 Department ~ EmployeeNumber 0.0333 EducationField ~ EmployeeNumber 0.7993 Gender ~ EmployeeNumber 0.3875 JobRole ~ EmployeeNumber 0.1985 MaritalStatus ~ EmployeeNumber 0.1178 ================================ BusinessTravel ~ EnvironmentSatisfaction 0.8881 Department ~ EnvironmentSatisfaction 0.563 EducationField ~ EnvironmentSatisfaction 0.164 Gender ~ EnvironmentSatisfaction 0.9845 JobRole ~ EnvironmentSatisfaction 0.2838 MaritalStatus ~ EnvironmentSatisfaction 0.6766 ================================ BusinessTravel ~ HourlyRate 0.5696 Department ~ HourlyRate 0.701 EducationField ~ HourlyRate 0.3052 Gender ~ HourlyRate 0.9854 JobRole ~ HourlyRate 0.8967 MaritalStatus ~ HourlyRate 0.3302 ================================ BusinessTravel ~ JobInvolvement 0.2132 Department ~ JobInvolvement 0.6059 EducationField ~ JobInvolvement 0.9636 Gender ~ JobInvolvement 0.4914 JobRole ~ JobInvolvement 0.6629 MaritalStatus ~ JobInvolvement 0.2223 ================================ BusinessTravel ~ JobLevel 0.6513 Department ~ JobLevel 0.0001 EducationField ~ JobLevel 0.0065 Gender ~ JobLevel 0.131 JobRole ~ JobLevel 0.0 MaritalStatus ~ JobLevel 0.0037 ================================ BusinessTravel ~ JobSatisfaction 0.3748 Department ~ JobSatisfaction 0.6053 EducationField ~ JobSatisfaction 0.4438 Gender ~ JobSatisfaction 0.2026 JobRole ~ JobSatisfaction 0.939 MaritalStatus ~ JobSatisfaction 0.6216 ================================ BusinessTravel ~ MonthlyIncome 0.3282 Department ~ MonthlyIncome 0.041 EducationField ~ MonthlyIncome 0.08 Gender ~ MonthlyIncome 0.2222 JobRole ~ MonthlyIncome 0.0 MaritalStatus ~ MonthlyIncome 0.0028 ================================ BusinessTravel ~ MonthlyRate 0.8376 Department ~ MonthlyRate 0.5697 EducationField ~ MonthlyRate 0.7529 Gender ~ MonthlyRate 0.1119 JobRole ~ MonthlyRate 0.779 MaritalStatus ~ MonthlyRate 0.3097 ================================ BusinessTravel ~ NumCompaniesWorked 0.3108 Department ~ NumCompaniesWorked 0.3863 EducationField ~ NumCompaniesWorked 0.7041 Gender ~ NumCompaniesWorked 0.1336 JobRole ~ NumCompaniesWorked 0.0 MaritalStatus ~ NumCompaniesWorked 0.2899 ================================ BusinessTravel ~ PercentSalaryHike 0.3741 Department ~ PercentSalaryHike 0.397 EducationField ~ PercentSalaryHike 0.3831 Gender ~ PercentSalaryHike 0.9166 JobRole ~ PercentSalaryHike 0.3578 MaritalStatus ~ PercentSalaryHike 0.6132 ================================ BusinessTravel ~ PerformanceRating 0.5882 Department ~ PerformanceRating 0.4522 EducationField ~ PerformanceRating 0.8374 Gender ~ PerformanceRating 0.5955 JobRole ~ PerformanceRating 0.5268 MaritalStatus ~ PerformanceRating 0.9069 ================================ BusinessTravel ~ RelationshipSatisfaction 0.334 Department ~ RelationshipSatisfaction 0.4059 EducationField ~ RelationshipSatisfaction 0.4794 Gender ~ RelationshipSatisfaction 0.3809 JobRole ~ RelationshipSatisfaction 0.7806 MaritalStatus ~ RelationshipSatisfaction 0.2012 ================================ BusinessTravel ~ StandardHours 0.8197 Department ~ StandardHours 0.0 EducationField ~ StandardHours 0.0 Gender ~ StandardHours 0.0006 JobRole ~ StandardHours 0.0 MaritalStatus ~ StandardHours 0.0 ================================ BusinessTravel ~ StockOptionLevel 0.4926 Department ~ StockOptionLevel 0.8099 EducationField ~ StockOptionLevel 0.3059 Gender ~ StockOptionLevel 0.6262 JobRole ~ StockOptionLevel 0.7559 MaritalStatus ~ StockOptionLevel 0.0 ================================ BusinessTravel ~ TotalWorkingYears 0.4201 Department ~ TotalWorkingYears 0.8332 EducationField ~ TotalWorkingYears 0.4137 Gender ~ TotalWorkingYears 0.0724 JobRole ~ TotalWorkingYears 0.0 MaritalStatus ~ TotalWorkingYears 0.0027 ================================ BusinessTravel ~ TrainingTimesLastYear 0.7249 Department ~ TrainingTimesLastYear 0.2348 EducationField ~ TrainingTimesLastYear 0.0854 Gender ~ TrainingTimesLastYear 0.1372 JobRole ~ TrainingTimesLastYear 0.1736 MaritalStatus ~ TrainingTimesLastYear 0.5068 ================================ BusinessTravel ~ WorkLifeBalance 0.8887 Department ~ WorkLifeBalance 0.015 EducationField ~ WorkLifeBalance 0.5667 Gender ~ WorkLifeBalance 0.916 JobRole ~ WorkLifeBalance 0.0729 MaritalStatus ~ WorkLifeBalance 0.84 ================================ BusinessTravel ~ YearsAtCompany 0.8227 Department ~ YearsAtCompany 0.4669 EducationField ~ YearsAtCompany 0.6489 Gender ~ YearsAtCompany 0.2544 JobRole ~ YearsAtCompany 0.0 MaritalStatus ~ YearsAtCompany 0.0247 ================================ BusinessTravel ~ YearsInCurrentRole 0.8982 Department ~ YearsInCurrentRole 0.0848 EducationField ~ YearsInCurrentRole 0.6575 Gender ~ YearsInCurrentRole 0.1119 JobRole ~ YearsInCurrentRole 0.0 MaritalStatus ~ YearsInCurrentRole 0.0035 ================================ BusinessTravel ~ YearsSinceLastPromotion 0.4269 Department ~ YearsSinceLastPromotion 0.2946 EducationField ~ YearsSinceLastPromotion 0.6069 Gender ~ YearsSinceLastPromotion 0.3012 JobRole ~ YearsSinceLastPromotion 0.0 MaritalStatus ~ YearsSinceLastPromotion 0.075 ================================
print("Anova Testing\n")
for i in range(0,26):
v= list(d["Cont"])
a = anova(A,'BusinessTravel',v[i] )
print('BusinessTravel', '~', v[i],a)
print("================================")
Anova Testing BusinessTravel ~ Attrition 0.0 ================================ BusinessTravel ~ Age 0.5357 ================================ BusinessTravel ~ DailyRate 0.8354 ================================ BusinessTravel ~ DistanceFromHome 0.6258 ================================ BusinessTravel ~ Education 0.9436 ================================ BusinessTravel ~ EmployeeCount 0.0869 ================================ BusinessTravel ~ EmployeeNumber 0.685 ================================ BusinessTravel ~ EnvironmentSatisfaction 0.8881 ================================ BusinessTravel ~ HourlyRate 0.5696 ================================ BusinessTravel ~ JobInvolvement 0.2132 ================================ BusinessTravel ~ JobLevel 0.6513 ================================ BusinessTravel ~ JobSatisfaction 0.3748 ================================ BusinessTravel ~ MonthlyIncome 0.3282 ================================ BusinessTravel ~ MonthlyRate 0.8376 ================================ BusinessTravel ~ NumCompaniesWorked 0.3108 ================================ BusinessTravel ~ PercentSalaryHike 0.3741 ================================ BusinessTravel ~ PerformanceRating 0.5882 ================================ BusinessTravel ~ RelationshipSatisfaction 0.334 ================================ BusinessTravel ~ StandardHours 0.8197 ================================ BusinessTravel ~ StockOptionLevel 0.4926 ================================ BusinessTravel ~ TotalWorkingYears 0.4201 ================================ BusinessTravel ~ TrainingTimesLastYear 0.7249 ================================ BusinessTravel ~ WorkLifeBalance 0.8887 ================================ BusinessTravel ~ YearsAtCompany 0.8227 ================================ BusinessTravel ~ YearsInCurrentRole 0.8982 ================================ BusinessTravel ~ YearsSinceLastPromotion 0.4269 ================================
print("Anova Testing\n")
for i in range(0,26):
v= list(d["Cont"])
a = anova(A,'Department',v[i] )
print('Department', '~', v[i],a)
print("================================")
Anova Testing Department ~ Attrition 0.0045 ================================ Department ~ Age 0.4653 ================================ Department ~ DailyRate 0.5686 ================================ Department ~ DistanceFromHome 0.7906 ================================ Department ~ Education 0.7535 ================================ Department ~ EmployeeCount 0.0 ================================ Department ~ EmployeeNumber 0.0333 ================================ Department ~ EnvironmentSatisfaction 0.563 ================================ Department ~ HourlyRate 0.701 ================================ Department ~ JobInvolvement 0.6059 ================================ Department ~ JobLevel 0.0001 ================================ Department ~ JobSatisfaction 0.6053 ================================ Department ~ MonthlyIncome 0.041 ================================ Department ~ MonthlyRate 0.5697 ================================ Department ~ NumCompaniesWorked 0.3863 ================================ Department ~ PercentSalaryHike 0.397 ================================ Department ~ PerformanceRating 0.4522 ================================ Department ~ RelationshipSatisfaction 0.4059 ================================ Department ~ StandardHours 0.0 ================================ Department ~ StockOptionLevel 0.8099 ================================ Department ~ TotalWorkingYears 0.8332 ================================ Department ~ TrainingTimesLastYear 0.2348 ================================ Department ~ WorkLifeBalance 0.015 ================================ Department ~ YearsAtCompany 0.4669 ================================ Department ~ YearsInCurrentRole 0.0848 ================================ Department ~ YearsSinceLastPromotion 0.2946 ================================
list(d['Cate'])
['BusinessTravel', 'Department', 'EducationField', 'Gender', 'JobRole', 'MaritalStatus', 'Over18', 'OverTime', None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None]
print("Anova Testing\n")
for i in range(0,26):
v= list(d["Cont"])
a = anova(A,'Department',v[i] )
print('Department', '~', v[i],a)
print("================================")
Anova Testing Department ~ Attrition 0.0045 ================================ Department ~ Age 0.4653 ================================ Department ~ DailyRate 0.5686 ================================ Department ~ DistanceFromHome 0.7906 ================================ Department ~ Education 0.7535 ================================ Department ~ EmployeeCount 0.0 ================================ Department ~ EmployeeNumber 0.0333 ================================ Department ~ EnvironmentSatisfaction 0.563 ================================ Department ~ HourlyRate 0.701 ================================ Department ~ JobInvolvement 0.6059 ================================ Department ~ JobLevel 0.0001 ================================ Department ~ JobSatisfaction 0.6053 ================================ Department ~ MonthlyIncome 0.041 ================================ Department ~ MonthlyRate 0.5697 ================================ Department ~ NumCompaniesWorked 0.3863 ================================ Department ~ PercentSalaryHike 0.397 ================================ Department ~ PerformanceRating 0.4522 ================================ Department ~ RelationshipSatisfaction 0.4059 ================================ Department ~ StandardHours 0.0 ================================ Department ~ StockOptionLevel 0.8099 ================================ Department ~ TotalWorkingYears 0.8332 ================================ Department ~ TrainingTimesLastYear 0.2348 ================================ Department ~ WorkLifeBalance 0.015 ================================ Department ~ YearsAtCompany 0.4669 ================================ Department ~ YearsInCurrentRole 0.0848 ================================ Department ~ YearsSinceLastPromotion 0.2946 ================================
print("Anova Testing\n")
for i in range(0,26):
v= list(d["Cont"])
a = anova(A,'EducationField',v[i] )
print('EducationField', '~', v[i],a)
print("================================")
Anova Testing EducationField ~ Attrition 0.0067 ================================ EducationField ~ Age 0.3473 ================================ EducationField ~ DailyRate 0.0594 ================================ EducationField ~ DistanceFromHome 0.6829 ================================ EducationField ~ Education 0.006 ================================ EducationField ~ EmployeeCount 0.0 ================================ EducationField ~ EmployeeNumber 0.7993 ================================ EducationField ~ EnvironmentSatisfaction 0.164 ================================ EducationField ~ HourlyRate 0.3052 ================================ EducationField ~ JobInvolvement 0.9636 ================================ EducationField ~ JobLevel 0.0065 ================================ EducationField ~ JobSatisfaction 0.4438 ================================ EducationField ~ MonthlyIncome 0.08 ================================ EducationField ~ MonthlyRate 0.7529 ================================ EducationField ~ NumCompaniesWorked 0.7041 ================================ EducationField ~ PercentSalaryHike 0.3831 ================================ EducationField ~ PerformanceRating 0.8374 ================================ EducationField ~ RelationshipSatisfaction 0.4794 ================================ EducationField ~ StandardHours 0.0 ================================ EducationField ~ StockOptionLevel 0.3059 ================================ EducationField ~ TotalWorkingYears 0.4137 ================================ EducationField ~ TrainingTimesLastYear 0.0854 ================================ EducationField ~ WorkLifeBalance 0.5667 ================================ EducationField ~ YearsAtCompany 0.6489 ================================ EducationField ~ YearsInCurrentRole 0.6575 ================================ EducationField ~ YearsSinceLastPromotion 0.6069 ================================
print("Anova Testing\n")
for i in range(0,26):
v= list(d["Cont"])
a = anova(A,'Gender',v[i] )
print('Gender', '~', v[i],a)
print("================================")
Anova Testing Gender ~ Attrition 0.2591 ================================ Gender ~ Age 0.1641 ================================ Gender ~ DailyRate 0.6535 ================================ Gender ~ DistanceFromHome 0.9435 ================================ Gender ~ Education 0.5261 ================================ Gender ~ EmployeeCount 0.0 ================================ Gender ~ EmployeeNumber 0.3875 ================================ Gender ~ EnvironmentSatisfaction 0.9845 ================================ Gender ~ HourlyRate 0.9854 ================================ Gender ~ JobInvolvement 0.4914 ================================ Gender ~ JobLevel 0.131 ================================ Gender ~ JobSatisfaction 0.2026 ================================ Gender ~ MonthlyIncome 0.2222 ================================ Gender ~ MonthlyRate 0.1119 ================================ Gender ~ NumCompaniesWorked 0.1336 ================================ Gender ~ PercentSalaryHike 0.9166 ================================ Gender ~ PerformanceRating 0.5955 ================================ Gender ~ RelationshipSatisfaction 0.3809 ================================ Gender ~ StandardHours 0.0006 ================================ Gender ~ StockOptionLevel 0.6262 ================================ Gender ~ TotalWorkingYears 0.0724 ================================ Gender ~ TrainingTimesLastYear 0.1372 ================================ Gender ~ WorkLifeBalance 0.916 ================================ Gender ~ YearsAtCompany 0.2544 ================================ Gender ~ YearsInCurrentRole 0.1119 ================================ Gender ~ YearsSinceLastPromotion 0.3012 ================================
print("Anova Testing\n")
for i in range(0,26):
v= list(d["Cont"])
a = anova(A,'JobRole',v[i] )
print('JobRole', '~', v[i],a)
print("================================")
Anova Testing JobRole ~ Attrition 0.0 ================================ JobRole ~ Age 0.0 ================================ JobRole ~ DailyRate 0.9238 ================================ JobRole ~ DistanceFromHome 0.6181 ================================ JobRole ~ Education 0.0014 ================================ JobRole ~ EmployeeCount 0.0 ================================ JobRole ~ EmployeeNumber 0.1985 ================================ JobRole ~ EnvironmentSatisfaction 0.2838 ================================ JobRole ~ HourlyRate 0.8967 ================================ JobRole ~ JobInvolvement 0.6629 ================================ JobRole ~ JobLevel 0.0 ================================ JobRole ~ JobSatisfaction 0.939 ================================ JobRole ~ MonthlyIncome 0.0 ================================ JobRole ~ MonthlyRate 0.779 ================================ JobRole ~ NumCompaniesWorked 0.0 ================================ JobRole ~ PercentSalaryHike 0.3578 ================================ JobRole ~ PerformanceRating 0.5268 ================================ JobRole ~ RelationshipSatisfaction 0.7806 ================================ JobRole ~ StandardHours 0.0 ================================ JobRole ~ StockOptionLevel 0.7559 ================================ JobRole ~ TotalWorkingYears 0.0 ================================ JobRole ~ TrainingTimesLastYear 0.1736 ================================ JobRole ~ WorkLifeBalance 0.0729 ================================ JobRole ~ YearsAtCompany 0.0 ================================ JobRole ~ YearsInCurrentRole 0.0 ================================ JobRole ~ YearsSinceLastPromotion 0.0 ================================
print("Anova Testing\n")
for i in range(0,26):
v= list(d["Cont"])
a = anova(A,'MaritalStatus',v[i] )
print('MaritalStatus', '~', v[i],a)
print("================================")
Anova Testing MaritalStatus ~ Attrition 0.0 ================================ MaritalStatus ~ Age 0.0 ================================ MaritalStatus ~ DailyRate 0.0135 ================================ MaritalStatus ~ DistanceFromHome 0.4693 ================================ MaritalStatus ~ Education 0.9866 ================================ MaritalStatus ~ EmployeeCount 0.0529 ================================ MaritalStatus ~ EmployeeNumber 0.1178 ================================ MaritalStatus ~ EnvironmentSatisfaction 0.6766 ================================ MaritalStatus ~ HourlyRate 0.3302 ================================ MaritalStatus ~ JobInvolvement 0.2223 ================================ MaritalStatus ~ JobLevel 0.0037 ================================ MaritalStatus ~ JobSatisfaction 0.6216 ================================ MaritalStatus ~ MonthlyIncome 0.0028 ================================ MaritalStatus ~ MonthlyRate 0.3097 ================================ MaritalStatus ~ NumCompaniesWorked 0.2899 ================================ MaritalStatus ~ PercentSalaryHike 0.6132 ================================ MaritalStatus ~ PerformanceRating 0.9069 ================================ MaritalStatus ~ RelationshipSatisfaction 0.2012 ================================ MaritalStatus ~ StandardHours 0.0 ================================ MaritalStatus ~ StockOptionLevel 0.0 ================================ MaritalStatus ~ TotalWorkingYears 0.0027 ================================ MaritalStatus ~ TrainingTimesLastYear 0.5068 ================================ MaritalStatus ~ WorkLifeBalance 0.84 ================================ MaritalStatus ~ YearsAtCompany 0.0247 ================================ MaritalStatus ~ YearsInCurrentRole 0.0035 ================================ MaritalStatus ~ YearsSinceLastPromotion 0.075 ================================
print("Anova Testing\n")
for i in range(0,26):
v= list(d["Cont"])
a = anova(A,'Over18',v[i] )
print('Over18', '~', v[i],a)
print("================================")
Anova Testing Over18 ~ Attrition nan ================================ Over18 ~ Age nan ================================ Over18 ~ DailyRate nan ================================ Over18 ~ DistanceFromHome nan ================================ Over18 ~ Education nan ================================ Over18 ~ EmployeeCount nan ================================ Over18 ~ EmployeeNumber nan ================================ Over18 ~ EnvironmentSatisfaction nan ================================ Over18 ~ HourlyRate nan ================================ Over18 ~ JobInvolvement nan ================================ Over18 ~ JobLevel nan ================================ Over18 ~ JobSatisfaction nan ================================ Over18 ~ MonthlyIncome nan ================================ Over18 ~ MonthlyRate nan ================================ Over18 ~ NumCompaniesWorked nan ================================ Over18 ~ PercentSalaryHike nan ================================ Over18 ~ PerformanceRating nan ================================ Over18 ~ RelationshipSatisfaction nan ================================ Over18 ~ StandardHours nan ================================ Over18 ~ StockOptionLevel nan ================================ Over18 ~ TotalWorkingYears nan ================================ Over18 ~ TrainingTimesLastYear nan ================================ Over18 ~ WorkLifeBalance nan ================================ Over18 ~ YearsAtCompany nan ================================ Over18 ~ YearsInCurrentRole nan ================================ Over18 ~ YearsSinceLastPromotion nan ================================
print("Anova Testing\n")
for i in range(0,26):
v= list(d["Cont"])
a = anova(A,'OverTime',v[i] )
print('OverTime', '~', v[i],a)
print("================================")
Anova Testing OverTime ~ Attrition 0.0 ================================ OverTime ~ Age 0.2823 ================================ OverTime ~ DailyRate 0.7264 ================================ OverTime ~ DistanceFromHome 0.3283 ================================ OverTime ~ Education 0.4362 ================================ OverTime ~ EmployeeCount 0.7364 ================================ OverTime ~ EmployeeNumber 0.3571 ================================ OverTime ~ EnvironmentSatisfaction 0.0071 ================================ OverTime ~ HourlyRate 0.7656 ================================ OverTime ~ JobInvolvement 0.8931 ================================ OverTime ~ JobLevel 0.9834 ================================ OverTime ~ JobSatisfaction 0.3471 ================================ OverTime ~ MonthlyIncome 0.8156 ================================ OverTime ~ MonthlyRate 0.4116 ================================ OverTime ~ NumCompaniesWorked 0.4258 ================================ OverTime ~ PercentSalaryHike 0.8351 ================================ OverTime ~ PerformanceRating 0.8671 ================================ OverTime ~ RelationshipSatisfaction 0.0631 ================================ OverTime ~ StandardHours 0.0 ================================ OverTime ~ StockOptionLevel 0.9863 ================================ OverTime ~ TotalWorkingYears 0.6251 ================================ OverTime ~ TrainingTimesLastYear 0.0024 ================================ OverTime ~ WorkLifeBalance 0.2993 ================================ OverTime ~ YearsAtCompany 0.6544 ================================ OverTime ~ YearsInCurrentRole 0.2542 ================================ OverTime ~ YearsSinceLastPromotion 0.6392 ================================
from sklearn.model_selection import train_test_split
xtrain,xtest,ytrain,ytest = train_test_split(X,Y,test_size=0.2, random_state=40)
from sklearn.linear_model import LinearRegression
lr = LinearRegression()
modelr = lr.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import mean_absolute_error
print("train Error ====>", round(mean_absolute_error(predtr, ytrain),20))
print("test Error ====>", round(mean_absolute_error(predts, ytest),20))
train Error ====> 6085.18112244898 test Error ====> 6192.034013605442
tuning_grid = []
x = 0.1
for i in range(0,100):
x = x + 0.001
x = round(x,3)
tuning_grid.append(x)
tp = {"alpha":tuning_grid}
from sklearn.linear_model import LinearRegression, Lasso, Ridge
l1 = Lasso()
from sklearn.model_selection import GridSearchCV
cv = GridSearchCV(l1,tp, scoring="neg_mean_absolute_error", cv = 5)
cvmodel = cv.fit(xtrain,ytrain)
bestval =cvmodel.best_params_
bestval
{'alpha': 0.2}
bestval['alpha']
0.2
from sklearn.linear_model import LinearRegression
l1 = Lasso(alpha=1.1)
modelr = l1.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import mean_absolute_error
print("train Error ====>", round(mean_absolute_error(predtr, ytrain),20))
print("test Error ====>", round(mean_absolute_error(predts, ytest),20))
train Error ====> 6086.951500456323 test Error ====> 6190.808984256642
tuning_grid = []
x = 0.1
for i in range(0,100):
x = x + 0.001
x = round(x,3)
tuning_grid.append(x)
tp = {"alpha":tuning_grid}
from sklearn.linear_model import LinearRegression, Lasso, Ridge
l2 = Ridge()
from sklearn.model_selection import GridSearchCV
cv = GridSearchCV(l2,tp, scoring="neg_mean_absolute_error", cv = 5)
cvmodel = cv.fit(xtrain,ytrain)
bestval =cvmodel.best_params_
bestval
{'alpha': 0.2}
bestval['alpha']
0.2
from sklearn.linear_model import LinearRegression
l2 = Ridge(alpha=0.2)
modelr = l2.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import mean_absolute_error
print("train Error ====>", round(mean_absolute_error(predtr, ytrain),20))
print("test Error ====>", round(mean_absolute_error(predts, ytest),20))
train Error ====> 6085.490591922476 test Error ====> 6192.036507274708
from sklearn.tree import DecisionTreeRegressor
dtr = DecisionTreeRegressor()
tp = {"max_depth":range(10), "random_state": range(40)}
from sklearn.model_selection import GridSearchCV
cv = GridSearchCV(dtr,tp, scoring="neg_mean_absolute_error", cv = 5)
cvmodel = cv.fit(xtrain,ytrain)
bestval =cvmodel.best_params_
bestval
{'max_depth': 1, 'random_state': 0}
print("bestval['max_depth']: ",bestval['max_depth'])
print("bestval['random_state']: ",bestval['random_state'])
bestval['max_depth']: 1 bestval['random_state']: 0
from sklearn.tree import DecisionTreeRegressor
dtr = DecisionTreeRegressor(random_state=bestval['random_state'], max_depth=bestval['max_depth'])
modelr = dtr.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import mean_absolute_error
print("train Error ====>", round(mean_absolute_error(predtr, ytrain),20))
print("test Error ====>", round(mean_absolute_error(predts, ytest),20))
train Error ====> 6183.431233742428 test Error ====> 6089.34256559767
from sklearn.ensemble import RandomForestRegressor
rfr = RandomForestRegressor()
tp = {"n_estimators": range(30)}
from sklearn.model_selection import GridSearchCV
cv = GridSearchCV(rfr,tp, scoring="neg_mean_absolute_error", cv = 5)
cvmodel = cv.fit(xtrain,ytrain)
bestval =cvmodel.best_params_
bestval
{'n_estimators': 21}
rfr = RandomForestRegressor(random_state=1,n_estimators=bestval['n_estimators'])
modelr = rfr.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import mean_absolute_error
print("train Error ====>", round(mean_absolute_error(predtr, ytrain),20))
print("test Error ====>", round(mean_absolute_error(predts, ytest),20))
train Error ====> 2483.517614188532 test Error ====> 6113.909297052155
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import AdaBoostRegressor
dtr = DecisionTreeRegressor(random_state=20,max_depth=2)
abr = AdaBoostRegressor(dtr)
tp = {"n_estimators": range(40)}
from sklearn.model_selection import GridSearchCV
cv = GridSearchCV(abr,tp, scoring="neg_mean_absolute_error", cv = 5)
cvmodel = cv.fit(xtrain,ytrain)
bestval =cvmodel.best_params_
bestval
{'n_estimators': 19}
from sklearn.tree import DecisionTreeRegressor
dtr = DecisionTreeRegressor(random_state= 21, max_depth=2)
abr = AdaBoostRegressor(random_state=20, n_estimators=bestval['n_estimators'])
modelr = abr.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import mean_absolute_error
print("train Error ====>", round(mean_absolute_error(predtr, ytrain),20))
print("test Error ====>", round(mean_absolute_error(predts, ytest),20))
train Error ====> 6110.792632381813 test Error ====> 6004.663636873536
from sklearn.neighbors import KNeighborsRegressor
knr = KNeighborsRegressor()
tp = {"n_neighbors": range(40)}
from sklearn.model_selection import GridSearchCV
cv = GridSearchCV(knr,tp, scoring="neg_mean_absolute_error", cv = 5)
cvmodel = cv.fit(xtrain,ytrain)
bestval =cvmodel.best_params_
bestval
{'n_neighbors': 32}
from sklearn.neighbors import KNeighborsRegressor
knr = KNeighborsRegressor(n_neighbors=bestval['n_neighbors'])
modelr = knr.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import mean_absolute_error
print("train Error ====>", round(mean_absolute_error(predtr, ytrain),20))
print("test Error ====>", round(mean_absolute_error(predts, ytest),20))
train Error ====> 6069.264482355442 test Error ====> 6080.711096938776
from sklearn.tree import DecisionTreeRegressor
from xgboost import XGBRegressor
dtr = DecisionTreeRegressor(random_state=20,max_depth=2)
abr =XGBRegressor()
tp = {"n_estimators": range(15),"booster": ['gbtree', 'gblinear','dart']}
from sklearn.model_selection import GridSearchCV
cv = GridSearchCV(abr,tp, scoring="neg_mean_absolute_error", cv = 5)
cvmodel = cv.fit(xtrain,ytrain)
bestval =cvmodel.best_params_
bestval
[13:27:11] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:12] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. 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[13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:13] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:14] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:14] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:14] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:14] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. 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[13:27:15] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:15] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:15] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:15] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:15] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:15] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:15] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. 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[13:27:15] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. [13:27:15] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
{'booster': 'gblinear', 'n_estimators': 14}
xgr = XGBRegressor(n_estimators=8, max_depth=1, booster = "gblinear")
modelr = xgr.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import mean_absolute_error
print("train Error ====>", round(mean_absolute_error(predtr, ytrain),20))
print("test Error ====>", round(mean_absolute_error(predts, ytest),20))
[13:27:26] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror. train Error ====> 6424.304176797672 test Error ====> 6432.736377949617
from sklearn.naive_bayes import GaussianNB
gnb = GaussianNB()
modelr = gnb.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import mean_absolute_error
print("train Error ====>", round(mean_absolute_error(predtr, ytrain),20))
print("test Error ====>", round(mean_absolute_error(predts, ytest),20))
train Error ====> 0.0 test Error ====> 7579.108843537415
from keras.layers import Dense, Dropout
from keras.models import Sequential
!pip install keras_tuner
import keras_tuner as kt
Collecting keras_tuner
Downloading keras_tuner-1.1.0-py3-none-any.whl (98 kB)
|████████████████████████████████| 98 kB 3.7 MB/s
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Collecting kt-legacy
Downloading kt_legacy-1.0.4-py3-none-any.whl (9.6 kB)
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Installing collected packages: kt-legacy, keras-tuner
Successfully installed keras-tuner-1.1.0 kt-legacy-1.0.4
def model_builder(hp):
nn = Sequential()
nn.add(Dense(128,input_dim=xtrain.shape[1]))
x = hp.Int("units",min_value=32,max_value=400,step=32)
nn.add(Dense(units=x))
y = hp.Choice("rate",values=[0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9])
nn.add(Dropout(rate=y))
nn.add(Dense(1,activation="relu"))
nn.compile(loss="mean_absolute_error")
return nn
Val_loss
import keras_tuner as kt
tuner = kt.Hyperband(model_builder,
objective="val_loss",
max_epochs=10,
directory="/content/drive/MyDrive/python/Attrition_Project/AtronN4",
project_name="kk2")
tuner.search(xtrain,ytrain,epochs=500, validation_split=0.2)
Trial 30 Complete [00h 00m 04s] val_loss: 11971.455078125 Best val_loss So Far: 6357.6396484375 Total elapsed time: 00h 01m 34s INFO:tensorflow:Oracle triggered exit
tuner.get_best_hyperparameters()[0].get("units")
384
tuner.get_best_hyperparameters()[0].get("rate")
0.4
Loss
import keras_tuner as kt
tuner = kt.Hyperband(model_builder,
objective="loss",
max_epochs=10,
directory="/content/drive/MyDrive/python/Attrition_Project/AtronN4",
project_name="k21")
tuner.search(xtrain,ytrain,epochs=500, validation_split=0.2)
Trial 30 Complete [00h 00m 04s] loss: 7609.0009765625 Best loss So Far: 7609.0009765625 Total elapsed time: 00h 01m 25s INFO:tensorflow:Oracle triggered exit
tuner.get_best_hyperparameters()[0].get("units")
192
tuner.get_best_hyperparameters()[0].get("rate")
0.2
from scipy.stats.stats import moment
from keras.callbacks import EarlyStopping
es = EarlyStopping(patience=25,monitor="val_loss")
nn = Sequential()
nn.add(Dense(1260,input_dim=X.shape[1]))
nn.add(Dense(1260, activation="relu"))
nn.add(Dropout(0.3))
nn.add(Dense(1260, activation="relu"))
nn.add(Dropout(0.3))
nn.add(Dense(1260, activation="relu"))
nn.add(Dropout(0.3))
nn.add(Dense(1260, activation="relu"))
nn.add(Dropout(0.3))
nn.add(Dense(1,activation="relu"))
nn.compile( loss="mean_absolute_error")
model = nn.fit(X,Y,epochs = 500, validation_split = 0.2, callbacks=es)
Epoch 1/500 37/37 [==============================] - 3s 35ms/step - loss: 8086.0264 - val_loss: 7812.4517 Epoch 2/500 37/37 [==============================] - 1s 18ms/step - loss: 7022.2896 - val_loss: 7714.8027 Epoch 3/500 37/37 [==============================] - 1s 19ms/step - loss: 6559.5293 - val_loss: 6459.8794 Epoch 4/500 37/37 [==============================] - 1s 18ms/step - loss: 6582.2070 - val_loss: 6591.5391 Epoch 5/500 37/37 [==============================] - 1s 19ms/step - loss: 6514.3140 - val_loss: 7137.4131 Epoch 6/500 37/37 [==============================] - 1s 18ms/step - loss: 6290.7227 - val_loss: 6794.2456 Epoch 7/500 37/37 [==============================] - 1s 18ms/step - loss: 6156.3276 - val_loss: 6642.6646 Epoch 8/500 37/37 [==============================] - 1s 20ms/step - loss: 6186.4062 - val_loss: 7029.2778 Epoch 9/500 37/37 [==============================] - 1s 20ms/step - loss: 5937.5264 - val_loss: 7053.5972 Epoch 10/500 37/37 [==============================] - 1s 18ms/step - loss: 5918.4893 - val_loss: 6648.6367 Epoch 11/500 37/37 [==============================] - 1s 21ms/step - loss: 5870.3735 - val_loss: 7624.2549 Epoch 12/500 37/37 [==============================] - 1s 18ms/step - loss: 5743.8989 - val_loss: 7232.0435 Epoch 13/500 37/37 [==============================] - 1s 18ms/step - loss: 5569.2202 - val_loss: 6807.2236 Epoch 14/500 37/37 [==============================] - 1s 20ms/step - loss: 5567.8257 - val_loss: 6808.4370 Epoch 15/500 37/37 [==============================] - 1s 18ms/step - loss: 5658.6294 - val_loss: 6660.9316 Epoch 16/500 37/37 [==============================] - 1s 18ms/step - loss: 5411.7397 - val_loss: 6752.2969 Epoch 17/500 37/37 [==============================] - 1s 18ms/step - loss: 5327.5342 - val_loss: 6759.5679 Epoch 18/500 37/37 [==============================] - 1s 19ms/step - loss: 5291.0640 - val_loss: 6816.9600 Epoch 19/500 37/37 [==============================] - 1s 18ms/step - loss: 5387.5918 - val_loss: 6886.0308 Epoch 20/500 37/37 [==============================] - 1s 19ms/step - loss: 5336.6724 - val_loss: 6891.5610 Epoch 21/500 37/37 [==============================] - 1s 18ms/step - loss: 5260.6641 - val_loss: 7405.2397 Epoch 22/500 37/37 [==============================] - 1s 15ms/step - loss: 5166.7495 - val_loss: 6799.7026 Epoch 23/500 37/37 [==============================] - 0s 13ms/step - loss: 5166.4790 - val_loss: 6715.3169 Epoch 24/500 37/37 [==============================] - 0s 13ms/step - loss: 5128.6567 - val_loss: 6686.6650 Epoch 25/500 37/37 [==============================] - 0s 12ms/step - loss: 4951.1841 - val_loss: 6770.9043 Epoch 26/500 37/37 [==============================] - 0s 12ms/step - loss: 4978.5850 - val_loss: 6687.9688 Epoch 27/500 37/37 [==============================] - 0s 12ms/step - loss: 4892.4902 - val_loss: 6739.9717 Epoch 28/500 37/37 [==============================] - 0s 12ms/step - loss: 4864.3486 - val_loss: 7154.1558 Epoch 29/500 37/37 [==============================] - 0s 13ms/step - loss: 4619.3696 - val_loss: 6942.9287 Epoch 30/500 37/37 [==============================] - 0s 13ms/step - loss: 4647.4653 - val_loss: 6754.8286 Epoch 31/500 37/37 [==============================] - 0s 13ms/step - loss: 4672.5371 - val_loss: 6776.6318 Epoch 32/500 37/37 [==============================] - 0s 13ms/step - loss: 4496.3867 - val_loss: 7292.8076 Epoch 33/500 37/37 [==============================] - 0s 12ms/step - loss: 4469.7617 - val_loss: 7306.5322 Epoch 34/500 37/37 [==============================] - 0s 13ms/step - loss: 4400.0957 - val_loss: 6905.6958 Epoch 35/500 37/37 [==============================] - 0s 12ms/step - loss: 4194.0449 - val_loss: 6931.6733 Epoch 36/500 37/37 [==============================] - 0s 12ms/step - loss: 4205.0215 - val_loss: 7405.6860 Epoch 37/500 37/37 [==============================] - 0s 12ms/step - loss: 4090.6272 - val_loss: 6859.5151 Epoch 38/500 37/37 [==============================] - 0s 13ms/step - loss: 4075.2764 - val_loss: 6970.0391 Epoch 39/500 37/37 [==============================] - 0s 12ms/step - loss: 3943.4622 - val_loss: 7005.3379 Epoch 40/500 37/37 [==============================] - 0s 13ms/step - loss: 3803.1323 - val_loss: 6960.3843 Epoch 41/500 37/37 [==============================] - 0s 13ms/step - loss: 3804.1748 - val_loss: 6988.8374 Epoch 42/500 37/37 [==============================] - 0s 12ms/step - loss: 3846.7305 - val_loss: 7080.8599 Epoch 43/500 37/37 [==============================] - 0s 13ms/step - loss: 3837.3955 - val_loss: 7032.1626 Epoch 44/500 37/37 [==============================] - 0s 13ms/step - loss: 3683.0208 - val_loss: 7020.0674 Epoch 45/500 37/37 [==============================] - 0s 13ms/step - loss: 3653.8694 - val_loss: 7093.9829 Epoch 46/500 37/37 [==============================] - 0s 12ms/step - loss: 3527.7803 - val_loss: 7199.4771 Epoch 47/500 37/37 [==============================] - 0s 12ms/step - loss: 3592.4622 - val_loss: 7062.9399 Epoch 48/500 37/37 [==============================] - 0s 12ms/step - loss: 3481.5571 - val_loss: 7167.7397 Epoch 49/500 37/37 [==============================] - 0s 13ms/step - loss: 3458.5137 - val_loss: 7108.3721 Epoch 50/500 37/37 [==============================] - 0s 13ms/step - loss: 3314.6304 - val_loss: 7185.1743 Epoch 51/500 37/37 [==============================] - 0s 12ms/step - loss: 3260.8364 - val_loss: 7387.5010 Epoch 52/500 37/37 [==============================] - 0s 12ms/step - loss: 3329.1328 - val_loss: 7164.5664 Epoch 53/500 37/37 [==============================] - 0s 13ms/step - loss: 3216.0166 - val_loss: 7023.8828 Epoch 54/500 37/37 [==============================] - 0s 12ms/step - loss: 3455.6284 - val_loss: 6990.6504 Epoch 55/500 37/37 [==============================] - 0s 12ms/step - loss: 3325.9111 - val_loss: 7306.5527 Epoch 56/500 37/37 [==============================] - 0s 12ms/step - loss: 3181.2168 - val_loss: 7099.6377 Epoch 57/500 37/37 [==============================] - 0s 12ms/step - loss: 3226.9126 - val_loss: 6842.5151 Epoch 58/500 37/37 [==============================] - 0s 12ms/step - loss: 3161.5691 - val_loss: 7058.3765 Epoch 59/500 37/37 [==============================] - 0s 13ms/step - loss: 3091.9646 - val_loss: 7074.0635 Epoch 60/500 37/37 [==============================] - 0s 13ms/step - loss: 3129.6216 - val_loss: 7396.5698 Epoch 61/500 37/37 [==============================] - 0s 12ms/step - loss: 3005.3240 - val_loss: 6868.6924 Epoch 62/500 37/37 [==============================] - 0s 12ms/step - loss: 3041.7668 - val_loss: 7732.1733 Epoch 63/500 37/37 [==============================] - 0s 12ms/step - loss: 3105.6257 - val_loss: 7102.4404 Epoch 64/500 37/37 [==============================] - 0s 13ms/step - loss: 2922.6094 - val_loss: 7214.4795 Epoch 65/500 37/37 [==============================] - 0s 13ms/step - loss: 2879.2271 - val_loss: 7085.2812 Epoch 66/500 37/37 [==============================] - 0s 13ms/step - loss: 2952.6772 - val_loss: 7230.4976 Epoch 67/500 37/37 [==============================] - 0s 13ms/step - loss: 2893.4966 - val_loss: 7558.4473 Epoch 68/500 37/37 [==============================] - 0s 12ms/step - loss: 2822.8994 - val_loss: 7397.1890 Epoch 69/500 37/37 [==============================] - 0s 12ms/step - loss: 2913.0369 - val_loss: 7179.3315 Epoch 70/500 37/37 [==============================] - 0s 12ms/step - loss: 2791.2000 - val_loss: 7226.1499 Epoch 71/500 37/37 [==============================] - 0s 13ms/step - loss: 2831.6665 - val_loss: 7426.9976 Epoch 72/500 37/37 [==============================] - 0s 13ms/step - loss: 2752.1257 - val_loss: 7136.7891 Epoch 73/500 37/37 [==============================] - 0s 12ms/step - loss: 2838.7649 - val_loss: 7207.7051 Epoch 74/500 37/37 [==============================] - 0s 12ms/step - loss: 2912.6670 - val_loss: 7035.8809 Epoch 75/500 37/37 [==============================] - 0s 12ms/step - loss: 2764.2727 - val_loss: 7195.8140 Epoch 76/500 37/37 [==============================] - 0s 12ms/step - loss: 2765.2517 - val_loss: 6928.9390 Epoch 77/500 37/37 [==============================] - 0s 12ms/step - loss: 2865.9333 - val_loss: 7076.2734 Epoch 78/500 37/37 [==============================] - 0s 12ms/step - loss: 2586.8462 - val_loss: 7364.3418 Epoch 79/500 37/37 [==============================] - 0s 13ms/step - loss: 2708.7432 - val_loss: 7019.3965 Epoch 80/500 37/37 [==============================] - 0s 13ms/step - loss: 2592.9927 - val_loss: 7074.4004 Epoch 81/500 37/37 [==============================] - 0s 13ms/step - loss: 2662.5278 - val_loss: 6944.2056 Epoch 82/500 37/37 [==============================] - 0s 13ms/step - loss: 2717.3337 - val_loss: 7250.3164 Epoch 83/500 37/37 [==============================] - 0s 13ms/step - loss: 2660.5632 - val_loss: 7010.9854 Epoch 84/500 37/37 [==============================] - 0s 12ms/step - loss: 2688.3325 - val_loss: 6941.0669 Epoch 85/500 37/37 [==============================] - 0s 13ms/step - loss: 2695.4004 - val_loss: 7218.8418 Epoch 86/500 37/37 [==============================] - 0s 13ms/step - loss: 2710.6099 - val_loss: 7017.6206 Epoch 87/500 37/37 [==============================] - 0s 12ms/step - loss: 2740.1704 - val_loss: 6959.4785 Epoch 88/500 37/37 [==============================] - 0s 12ms/step - loss: 2604.0662 - val_loss: 7038.6172 Epoch 89/500 37/37 [==============================] - 0s 12ms/step - loss: 2625.0173 - val_loss: 7189.7651 Epoch 90/500 37/37 [==============================] - 0s 13ms/step - loss: 2458.3906 - val_loss: 7063.4688 Epoch 91/500 37/37 [==============================] - 0s 12ms/step - loss: 2635.3440 - val_loss: 7239.4287 Epoch 92/500 37/37 [==============================] - 0s 13ms/step - loss: 2553.1011 - val_loss: 7021.2002 Epoch 93/500 37/37 [==============================] - 0s 13ms/step - loss: 2548.2954 - val_loss: 7131.6914 Epoch 94/500 37/37 [==============================] - 0s 12ms/step - loss: 2495.5188 - val_loss: 7049.4575 Epoch 95/500 37/37 [==============================] - 0s 13ms/step - loss: 2571.1567 - val_loss: 7073.6602 Epoch 96/500 37/37 [==============================] - 0s 13ms/step - loss: 2544.2407 - val_loss: 6875.5815 Epoch 97/500 37/37 [==============================] - 0s 12ms/step - loss: 2505.8708 - val_loss: 7138.2949 Epoch 98/500 37/37 [==============================] - 0s 13ms/step - loss: 2501.5974 - val_loss: 6835.8462 Epoch 99/500 37/37 [==============================] - 0s 13ms/step - loss: 2423.2566 - val_loss: 6964.4429 Epoch 100/500 37/37 [==============================] - 0s 12ms/step - loss: 2556.8601 - val_loss: 6890.1938 Epoch 101/500 37/37 [==============================] - 0s 13ms/step - loss: 2421.1416 - val_loss: 6855.7549 Epoch 102/500 37/37 [==============================] - 0s 12ms/step - loss: 2398.2432 - val_loss: 7644.9922 Epoch 103/500 37/37 [==============================] - 0s 13ms/step - loss: 2419.2710 - val_loss: 6941.9980 Epoch 104/500 37/37 [==============================] - 0s 12ms/step - loss: 2415.7629 - val_loss: 7121.0283 Epoch 105/500 37/37 [==============================] - 0s 13ms/step - loss: 2441.2029 - val_loss: 7098.6611 Epoch 106/500 37/37 [==============================] - 0s 13ms/step - loss: 2461.0339 - val_loss: 7097.2021 Epoch 107/500 37/37 [==============================] - 0s 13ms/step - loss: 2461.7568 - val_loss: 7593.0986 Epoch 108/500 37/37 [==============================] - 0s 12ms/step - loss: 2474.4609 - val_loss: 6885.4146 Epoch 109/500 37/37 [==============================] - 0s 13ms/step - loss: 2427.8657 - val_loss: 7022.5156 Epoch 110/500 37/37 [==============================] - 0s 12ms/step - loss: 2501.1318 - val_loss: 6927.9478 Epoch 111/500 37/37 [==============================] - 0s 13ms/step - loss: 2427.2805 - val_loss: 6926.1558 Epoch 112/500 37/37 [==============================] - 0s 13ms/step - loss: 2362.2734 - val_loss: 7009.8579 Epoch 113/500 37/37 [==============================] - 0s 12ms/step - loss: 2371.7039 - val_loss: 6935.2183 Epoch 114/500 37/37 [==============================] - 0s 13ms/step - loss: 2364.0032 - val_loss: 7197.0620 Epoch 115/500 37/37 [==============================] - 0s 13ms/step - loss: 2359.9558 - val_loss: 6849.2026 Epoch 116/500 37/37 [==============================] - 0s 13ms/step - loss: 2389.4561 - val_loss: 6960.8657 Epoch 117/500 37/37 [==============================] - 0s 13ms/step - loss: 2473.8486 - val_loss: 7287.8145 Epoch 118/500 37/37 [==============================] - 0s 13ms/step - loss: 2295.5676 - val_loss: 6902.2539 Epoch 119/500 37/37 [==============================] - 0s 12ms/step - loss: 2366.3909 - val_loss: 7057.1328 Epoch 120/500 37/37 [==============================] - 0s 13ms/step - loss: 2435.5386 - val_loss: 6802.4751 Epoch 121/500 37/37 [==============================] - 0s 12ms/step - loss: 2339.7507 - val_loss: 6996.7217 Epoch 122/500 37/37 [==============================] - 0s 12ms/step - loss: 2253.5042 - val_loss: 7526.9131 Epoch 123/500 37/37 [==============================] - 0s 13ms/step - loss: 2390.7849 - val_loss: 7102.4854 Epoch 124/500 37/37 [==============================] - 0s 12ms/step - loss: 2289.2866 - val_loss: 7162.0356 Epoch 125/500 37/37 [==============================] - 0s 13ms/step - loss: 2248.8958 - val_loss: 7204.4985 Epoch 126/500 37/37 [==============================] - 0s 13ms/step - loss: 2330.0222 - val_loss: 6858.7510 Epoch 127/500 37/37 [==============================] - 0s 12ms/step - loss: 2244.3250 - val_loss: 7204.6284 Epoch 128/500 37/37 [==============================] - 0s 12ms/step - loss: 2254.7871 - val_loss: 7150.6396 Epoch 129/500 37/37 [==============================] - 0s 12ms/step - loss: 2313.3379 - val_loss: 6822.8721 Epoch 130/500 37/37 [==============================] - 0s 12ms/step - loss: 2384.5967 - val_loss: 6865.2876 Epoch 131/500 37/37 [==============================] - 0s 13ms/step - loss: 2321.3276 - val_loss: 7152.1113 Epoch 132/500 37/37 [==============================] - 0s 13ms/step - loss: 2315.5701 - val_loss: 6997.2725 Epoch 133/500 37/37 [==============================] - 0s 13ms/step - loss: 2308.2175 - val_loss: 7056.1465 Epoch 134/500 37/37 [==============================] - 0s 13ms/step - loss: 2276.6313 - val_loss: 6938.7646 Epoch 135/500 37/37 [==============================] - 0s 12ms/step - loss: 2330.1113 - val_loss: 7291.4194 Epoch 136/500 37/37 [==============================] - 0s 13ms/step - loss: 2251.5503 - val_loss: 6766.2407 Epoch 137/500 37/37 [==============================] - 0s 12ms/step - loss: 2279.4841 - val_loss: 6793.8716 Epoch 138/500 37/37 [==============================] - 0s 13ms/step - loss: 2212.0132 - val_loss: 6758.5483 Epoch 139/500 37/37 [==============================] - 1s 14ms/step - loss: 2259.0181 - val_loss: 6998.7681 Epoch 140/500 37/37 [==============================] - 0s 12ms/step - loss: 2215.2061 - val_loss: 6750.5474 Epoch 141/500 37/37 [==============================] - 0s 13ms/step - loss: 2172.9438 - val_loss: 6985.2646 Epoch 142/500 37/37 [==============================] - 0s 13ms/step - loss: 2256.5732 - val_loss: 7191.6606 Epoch 143/500 37/37 [==============================] - 0s 12ms/step - loss: 2174.8149 - val_loss: 7566.6147 Epoch 144/500 37/37 [==============================] - 0s 12ms/step - loss: 2376.7139 - val_loss: 6998.4102 Epoch 145/500 37/37 [==============================] - 0s 13ms/step - loss: 2210.5029 - val_loss: 7016.2090 Epoch 146/500 37/37 [==============================] - 0s 13ms/step - loss: 2249.2786 - val_loss: 7214.4702 Epoch 147/500 37/37 [==============================] - 0s 13ms/step - loss: 2207.8855 - val_loss: 6800.9941 Epoch 148/500 37/37 [==============================] - 0s 12ms/step - loss: 2237.6750 - val_loss: 7072.6035 Epoch 149/500 37/37 [==============================] - 0s 13ms/step - loss: 2206.8479 - val_loss: 6860.0195 Epoch 150/500 37/37 [==============================] - 0s 13ms/step - loss: 2166.4292 - val_loss: 6808.3032 Epoch 151/500 37/37 [==============================] - 0s 13ms/step - loss: 2226.0325 - val_loss: 6872.6631 Epoch 152/500 37/37 [==============================] - 0s 12ms/step - loss: 2090.8157 - val_loss: 6816.7544 Epoch 153/500 37/37 [==============================] - 0s 13ms/step - loss: 2187.8374 - val_loss: 6857.2515 Epoch 154/500 37/37 [==============================] - 0s 12ms/step - loss: 2245.0049 - val_loss: 7125.5049 Epoch 155/500 37/37 [==============================] - 0s 13ms/step - loss: 2254.5261 - val_loss: 6876.8442 Epoch 156/500 37/37 [==============================] - 0s 13ms/step - loss: 2111.2427 - val_loss: 6830.3203 Epoch 157/500 37/37 [==============================] - 0s 12ms/step - loss: 2155.2837 - val_loss: 6897.3979 Epoch 158/500 37/37 [==============================] - 0s 13ms/step - loss: 2142.8950 - val_loss: 6836.2769 Epoch 159/500 37/37 [==============================] - 0s 12ms/step - loss: 2337.3689 - val_loss: 7034.9663 Epoch 160/500 37/37 [==============================] - 0s 12ms/step - loss: 2190.0359 - val_loss: 6884.9976 Epoch 161/500 37/37 [==============================] - 0s 13ms/step - loss: 2190.5193 - val_loss: 7151.1548 Epoch 162/500 37/37 [==============================] - 0s 13ms/step - loss: 2172.7297 - val_loss: 6716.7173 Epoch 163/500 37/37 [==============================] - 0s 13ms/step - loss: 2200.8921 - val_loss: 7044.9556 Epoch 164/500 37/37 [==============================] - 0s 13ms/step - loss: 2269.6072 - val_loss: 7025.9336 Epoch 165/500 37/37 [==============================] - 0s 13ms/step - loss: 2166.7695 - val_loss: 6715.9541 Epoch 166/500 37/37 [==============================] - 0s 12ms/step - loss: 2163.0486 - val_loss: 6761.0312 Epoch 167/500 37/37 [==============================] - 0s 13ms/step - loss: 2157.4080 - val_loss: 6878.9878 Epoch 168/500 37/37 [==============================] - 0s 13ms/step - loss: 2107.8196 - val_loss: 6834.9834 Epoch 169/500 37/37 [==============================] - 0s 13ms/step - loss: 2052.9907 - val_loss: 7087.0117 Epoch 170/500 37/37 [==============================] - 0s 13ms/step - loss: 2306.2368 - val_loss: 6743.3667 Epoch 171/500 37/37 [==============================] - 0s 13ms/step - loss: 2192.4631 - val_loss: 6956.0396 Epoch 172/500 37/37 [==============================] - 0s 12ms/step - loss: 2156.3503 - val_loss: 6827.2183 Epoch 173/500 37/37 [==============================] - 0s 13ms/step - loss: 2210.3889 - val_loss: 6840.1206 Epoch 174/500 37/37 [==============================] - 0s 13ms/step - loss: 2204.2725 - val_loss: 7569.9126 Epoch 175/500 37/37 [==============================] - 0s 12ms/step - loss: 2221.6260 - val_loss: 6772.6353 Epoch 176/500 37/37 [==============================] - 0s 12ms/step - loss: 2061.9348 - val_loss: 6685.1274 Epoch 177/500 37/37 [==============================] - 0s 12ms/step - loss: 2149.2690 - val_loss: 7288.4658 Epoch 178/500 37/37 [==============================] - 0s 13ms/step - loss: 2165.6543 - val_loss: 7109.8379 Epoch 179/500 37/37 [==============================] - 0s 13ms/step - loss: 2152.0024 - val_loss: 6899.3438 Epoch 180/500 37/37 [==============================] - 1s 14ms/step - loss: 2123.5466 - val_loss: 6750.3799 Epoch 181/500 37/37 [==============================] - 0s 12ms/step - loss: 2142.1731 - val_loss: 6862.2402 Epoch 182/500 37/37 [==============================] - 1s 14ms/step - loss: 2156.5496 - val_loss: 6964.2354 Epoch 183/500 37/37 [==============================] - 0s 13ms/step - loss: 2194.9956 - val_loss: 6688.7490 Epoch 184/500 37/37 [==============================] - 0s 12ms/step - loss: 2126.2163 - val_loss: 6596.5361 Epoch 185/500 37/37 [==============================] - 0s 12ms/step - loss: 2066.3464 - val_loss: 6553.7910 Epoch 186/500 37/37 [==============================] - 0s 12ms/step - loss: 2166.1587 - val_loss: 6658.4468 Epoch 187/500 37/37 [==============================] - 1s 14ms/step - loss: 2084.0410 - val_loss: 6754.6675 Epoch 188/500 37/37 [==============================] - 1s 14ms/step - loss: 2167.7776 - val_loss: 6813.8501 Epoch 189/500 37/37 [==============================] - 0s 12ms/step - loss: 2134.9858 - val_loss: 6693.4346 Epoch 190/500 37/37 [==============================] - 0s 13ms/step - loss: 2203.8887 - val_loss: 7179.4463 Epoch 191/500 37/37 [==============================] - 1s 30ms/step - loss: 2119.8562 - val_loss: 6733.0166 Epoch 192/500 37/37 [==============================] - 1s 28ms/step - loss: 2073.3318 - val_loss: 6935.3076 Epoch 193/500 37/37 [==============================] - 1s 20ms/step - loss: 2108.0295 - val_loss: 6750.2056 Epoch 194/500 37/37 [==============================] - 0s 13ms/step - loss: 2205.0132 - val_loss: 6762.9097 Epoch 195/500 37/37 [==============================] - 1s 14ms/step - loss: 2038.3010 - val_loss: 7101.6885 Epoch 196/500 37/37 [==============================] - 1s 14ms/step - loss: 2085.8191 - val_loss: 6737.7505 Epoch 197/500 37/37 [==============================] - 1s 14ms/step - loss: 2104.1406 - val_loss: 6855.8501 Epoch 198/500 37/37 [==============================] - 0s 13ms/step - loss: 2206.7097 - val_loss: 6966.3970 Epoch 199/500 37/37 [==============================] - 1s 14ms/step - loss: 2205.8215 - val_loss: 6902.6465 Epoch 200/500 37/37 [==============================] - 1s 14ms/step - loss: 2104.1494 - val_loss: 6905.4219 Epoch 201/500 37/37 [==============================] - 0s 12ms/step - loss: 1968.6731 - val_loss: 6763.7827 Epoch 202/500 37/37 [==============================] - 0s 13ms/step - loss: 2059.8711 - val_loss: 6871.6611 Epoch 203/500 37/37 [==============================] - 0s 13ms/step - loss: 2153.0759 - val_loss: 7316.8042 Epoch 204/500 37/37 [==============================] - 0s 12ms/step - loss: 2071.3162 - val_loss: 6751.2812 Epoch 205/500 37/37 [==============================] - 0s 13ms/step - loss: 2089.9302 - val_loss: 7106.4707 Epoch 206/500 37/37 [==============================] - 1s 14ms/step - loss: 2058.0051 - val_loss: 6954.1597 Epoch 207/500 37/37 [==============================] - 0s 13ms/step - loss: 2113.5645 - val_loss: 7215.8867 Epoch 208/500 37/37 [==============================] - 0s 13ms/step - loss: 2020.6345 - val_loss: 6643.1089 Epoch 209/500 37/37 [==============================] - 0s 13ms/step - loss: 2044.6675 - val_loss: 7158.4551 Epoch 210/500 37/37 [==============================] - 0s 13ms/step - loss: 2054.2461 - val_loss: 7341.8740 Epoch 211/500 37/37 [==============================] - 0s 13ms/step - loss: 2083.9915 - val_loss: 6990.6753 Epoch 212/500 37/37 [==============================] - 0s 13ms/step - loss: 2094.6387 - val_loss: 6928.2217 Epoch 213/500 37/37 [==============================] - 0s 12ms/step - loss: 2031.3071 - val_loss: 6796.3042 Epoch 214/500 37/37 [==============================] - 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val_loss: 6832.3159 Epoch 300/500 37/37 [==============================] - 1s 21ms/step - loss: 1966.1915 - val_loss: 6755.5259 Epoch 301/500 37/37 [==============================] - 1s 27ms/step - loss: 1941.6926 - val_loss: 6896.2983 Epoch 302/500 37/37 [==============================] - 1s 29ms/step - loss: 1982.9479 - val_loss: 6753.6104 Epoch 303/500 37/37 [==============================] - 1s 17ms/step - loss: 1929.1373 - val_loss: 6874.9492 Epoch 304/500 37/37 [==============================] - 1s 19ms/step - loss: 1933.6860 - val_loss: 6846.0264 Epoch 305/500 37/37 [==============================] - 1s 25ms/step - loss: 2036.7770 - val_loss: 7252.5576 Epoch 306/500 37/37 [==============================] - 1s 20ms/step - loss: 1957.8759 - val_loss: 7228.7158 Epoch 307/500 37/37 [==============================] - 1s 18ms/step - loss: 1950.0631 - val_loss: 7098.7266 Epoch 308/500 37/37 [==============================] - 1s 19ms/step - loss: 2024.3601 - val_loss: 6809.9556 Epoch 309/500 37/37 [==============================] - 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val_loss: 6776.7520 Epoch 319/500 37/37 [==============================] - 1s 20ms/step - loss: 2019.6320 - val_loss: 6841.7666 Epoch 320/500 37/37 [==============================] - 1s 19ms/step - loss: 1880.6975 - val_loss: 6800.5371 Epoch 321/500 37/37 [==============================] - 1s 18ms/step - loss: 1976.3199 - val_loss: 7038.0806 Epoch 322/500 37/37 [==============================] - 1s 19ms/step - loss: 1967.8767 - val_loss: 6669.4839 Epoch 323/500 37/37 [==============================] - 1s 18ms/step - loss: 1981.6964 - val_loss: 6858.2285 Epoch 324/500 37/37 [==============================] - 1s 17ms/step - loss: 1953.7744 - val_loss: 6818.1040 Epoch 325/500 37/37 [==============================] - 1s 18ms/step - loss: 1894.5153 - val_loss: 6801.4624 Epoch 326/500 37/37 [==============================] - 1s 18ms/step - loss: 1864.4421 - val_loss: 6828.4722 Epoch 327/500 37/37 [==============================] - 1s 18ms/step - loss: 1954.8652 - val_loss: 6787.4575 Epoch 328/500 37/37 [==============================] - 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val_loss: 7199.0181 Epoch 338/500 37/37 [==============================] - 1s 19ms/step - loss: 1999.0992 - val_loss: 7171.2568 Epoch 339/500 37/37 [==============================] - 1s 19ms/step - loss: 1879.3835 - val_loss: 7023.0723 Epoch 340/500 37/37 [==============================] - 1s 19ms/step - loss: 1917.6912 - val_loss: 6981.4619 Epoch 341/500 37/37 [==============================] - 1s 18ms/step - loss: 1976.2562 - val_loss: 6867.7017 Epoch 342/500 37/37 [==============================] - 1s 19ms/step - loss: 1991.8406 - val_loss: 6780.0508 Epoch 343/500 37/37 [==============================] - 1s 17ms/step - loss: 1880.5175 - val_loss: 6962.7529 Epoch 344/500 37/37 [==============================] - 1s 19ms/step - loss: 1926.0865 - val_loss: 6849.6655 Epoch 345/500 37/37 [==============================] - 1s 19ms/step - loss: 1788.5000 - val_loss: 7245.4268 Epoch 346/500 37/37 [==============================] - 1s 18ms/step - loss: 1962.1354 - val_loss: 7026.1768 Epoch 347/500 37/37 [==============================] - 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val_loss: 7074.2983 Epoch 357/500 37/37 [==============================] - 1s 19ms/step - loss: 1834.2759 - val_loss: 6861.5840 Epoch 358/500 37/37 [==============================] - 1s 17ms/step - loss: 2042.3873 - val_loss: 6771.4492 Epoch 359/500 37/37 [==============================] - 1s 17ms/step - loss: 1885.4407 - val_loss: 6981.0347 Epoch 360/500 37/37 [==============================] - 1s 17ms/step - loss: 1904.2529 - val_loss: 6751.4604 Epoch 361/500 37/37 [==============================] - 1s 16ms/step - loss: 1887.4980 - val_loss: 6798.0171 Epoch 362/500 37/37 [==============================] - 1s 15ms/step - loss: 1896.6173 - val_loss: 6816.1372 Epoch 363/500 37/37 [==============================] - 1s 16ms/step - loss: 1862.7819 - val_loss: 7348.2544 Epoch 364/500 37/37 [==============================] - 1s 17ms/step - loss: 1901.2867 - val_loss: 6840.6069 Epoch 365/500 37/37 [==============================] - 1s 15ms/step - loss: 1998.0333 - val_loss: 6860.0757 Epoch 366/500 37/37 [==============================] - 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1s 16ms/step - loss: 1817.3730 - val_loss: 6854.9316 Epoch 405/500 37/37 [==============================] - 1s 16ms/step - loss: 1895.9979 - val_loss: 6775.5889 Epoch 406/500 37/37 [==============================] - 1s 15ms/step - loss: 1951.8813 - val_loss: 6879.6265 Epoch 407/500 37/37 [==============================] - 1s 16ms/step - loss: 1855.8193 - val_loss: 6899.6904 Epoch 408/500 37/37 [==============================] - 1s 16ms/step - loss: 1901.1824 - val_loss: 6833.3555 Epoch 409/500 37/37 [==============================] - 1s 15ms/step - loss: 1913.9766 - val_loss: 6683.7114 Epoch 410/500 37/37 [==============================] - 1s 16ms/step - loss: 1853.6370 - val_loss: 7084.1860 Epoch 411/500 37/37 [==============================] - 1s 17ms/step - loss: 1908.3182 - val_loss: 6725.2485 Epoch 412/500 37/37 [==============================] - 1s 16ms/step - loss: 1847.1663 - val_loss: 6832.3911 Epoch 413/500 37/37 [==============================] - 1s 16ms/step - loss: 1914.3085 - val_loss: 6735.6885 Epoch 414/500 37/37 [==============================] - 1s 16ms/step - loss: 1973.4009 - val_loss: 6804.1885 Epoch 415/500 37/37 [==============================] - 1s 16ms/step - loss: 1863.8263 - val_loss: 6795.4043 Epoch 416/500 37/37 [==============================] - 1s 15ms/step - loss: 1917.4490 - val_loss: 6830.2715 Epoch 417/500 37/37 [==============================] - 1s 16ms/step - loss: 1908.1749 - val_loss: 6815.4849 Epoch 418/500 37/37 [==============================] - 1s 16ms/step - loss: 1926.8865 - val_loss: 6818.7183 Epoch 419/500 37/37 [==============================] - 1s 16ms/step - loss: 1916.6652 - val_loss: 7004.1797 Epoch 420/500 37/37 [==============================] - 1s 16ms/step - loss: 1871.4526 - val_loss: 6777.9336 Epoch 421/500 37/37 [==============================] - 1s 15ms/step - loss: 1827.6809 - val_loss: 6759.7529 Epoch 422/500 37/37 [==============================] - 1s 16ms/step - loss: 1834.4255 - val_loss: 6864.4751 Epoch 423/500 37/37 [==============================] - 1s 15ms/step - loss: 1844.5455 - val_loss: 6822.2515 Epoch 424/500 37/37 [==============================] - 1s 15ms/step - loss: 1859.0708 - val_loss: 6877.4199 Epoch 425/500 37/37 [==============================] - 1s 14ms/step - loss: 1976.3237 - val_loss: 6810.9414 Epoch 426/500 37/37 [==============================] - 1s 15ms/step - loss: 1885.8148 - val_loss: 6913.9790 Epoch 427/500 37/37 [==============================] - 1s 15ms/step - loss: 1900.3741 - val_loss: 6865.6353 Epoch 428/500 37/37 [==============================] - 1s 16ms/step - loss: 1786.1184 - val_loss: 6815.2690 Epoch 429/500 37/37 [==============================] - 1s 15ms/step - loss: 1886.7271 - val_loss: 7246.9014 Epoch 430/500 37/37 [==============================] - 1s 16ms/step - loss: 1883.5200 - val_loss: 6825.6538 Epoch 431/500 37/37 [==============================] - 1s 15ms/step - loss: 1829.2032 - val_loss: 7945.8325 Epoch 432/500 37/37 [==============================] - 1s 15ms/step - loss: 1907.9700 - val_loss: 6764.7671 Epoch 433/500 37/37 [==============================] - 1s 15ms/step - loss: 1858.8044 - val_loss: 6869.2446 Epoch 434/500 37/37 [==============================] - 1s 15ms/step - loss: 1879.5695 - val_loss: 7014.5249 Epoch 435/500 37/37 [==============================] - 1s 15ms/step - loss: 1873.8910 - val_loss: 7173.2251 Epoch 436/500 37/37 [==============================] - 1s 16ms/step - loss: 1849.7262 - val_loss: 6905.8096 Epoch 437/500 37/37 [==============================] - 1s 16ms/step - loss: 1841.3042 - val_loss: 6917.3760 Epoch 438/500 37/37 [==============================] - 1s 16ms/step - loss: 1917.7551 - val_loss: 6850.4209 Epoch 439/500 37/37 [==============================] - 1s 15ms/step - loss: 1889.4868 - val_loss: 7246.2559 Epoch 440/500 37/37 [==============================] - 1s 18ms/step - loss: 1834.6895 - val_loss: 6765.9355 Epoch 441/500 37/37 [==============================] - 1s 14ms/step - loss: 1857.1254 - val_loss: 6883.9985 Epoch 442/500 37/37 [==============================] - 1s 15ms/step - loss: 1817.1649 - val_loss: 6760.5557 Epoch 443/500 37/37 [==============================] - 1s 14ms/step - loss: 1846.9874 - val_loss: 6866.9727 Epoch 444/500 37/37 [==============================] - 1s 14ms/step - loss: 1859.4335 - val_loss: 6920.8120 Epoch 445/500 37/37 [==============================] - 1s 15ms/step - loss: 1810.4120 - val_loss: 6794.7510 Epoch 446/500 37/37 [==============================] - 1s 14ms/step - loss: 1923.1898 - val_loss: 6876.9619 Epoch 447/500 37/37 [==============================] - 1s 14ms/step - loss: 1990.2540 - val_loss: 6965.3726 Epoch 448/500 37/37 [==============================] - 1s 15ms/step - loss: 1875.9086 - val_loss: 6883.4961 Epoch 449/500 37/37 [==============================] - 1s 14ms/step - loss: 1901.4452 - val_loss: 6940.7910 Epoch 450/500 37/37 [==============================] - 1s 15ms/step - loss: 1875.6146 - val_loss: 6865.2847 Epoch 451/500 37/37 [==============================] - 1s 14ms/step - loss: 1816.8157 - val_loss: 6850.8960 Epoch 452/500 37/37 [==============================] - 1s 14ms/step - loss: 1831.4716 - val_loss: 6891.0493 Epoch 453/500 37/37 [==============================] - 1s 14ms/step - loss: 1863.3444 - val_loss: 6874.1108 Epoch 454/500 37/37 [==============================] - 1s 14ms/step - loss: 1868.2053 - val_loss: 6991.4014 Epoch 455/500 37/37 [==============================] - 1s 15ms/step - loss: 1822.5496 - val_loss: 6781.2598 Epoch 456/500 37/37 [==============================] - 1s 14ms/step - loss: 1811.6531 - val_loss: 6917.0425 Epoch 457/500 37/37 [==============================] - 1s 14ms/step - loss: 1905.1055 - val_loss: 6980.8477 Epoch 458/500 37/37 [==============================] - 1s 14ms/step - loss: 1900.2893 - val_loss: 7101.0659 Epoch 459/500 37/37 [==============================] - 1s 14ms/step - loss: 2043.6508 - val_loss: 6815.5840 Epoch 460/500 37/37 [==============================] - 1s 15ms/step - loss: 1818.3248 - val_loss: 6922.6084 Epoch 461/500 37/37 [==============================] - 1s 14ms/step - loss: 1925.3131 - val_loss: 6800.9985 Epoch 462/500 37/37 [==============================] - 0s 13ms/step - loss: 1793.9519 - val_loss: 6877.0938 Epoch 463/500 37/37 [==============================] - 1s 15ms/step - loss: 1844.5763 - val_loss: 6900.3657 Epoch 464/500 37/37 [==============================] - 1s 14ms/step - loss: 1766.0619 - val_loss: 6826.4546 Epoch 465/500 37/37 [==============================] - 1s 14ms/step - loss: 1926.2885 - val_loss: 7078.9766 Epoch 466/500 37/37 [==============================] - 1s 14ms/step - loss: 1819.6041 - val_loss: 6689.2222 Epoch 467/500 37/37 [==============================] - 1s 14ms/step - loss: 1988.3812 - val_loss: 6864.1045 Epoch 468/500 37/37 [==============================] - 1s 14ms/step - loss: 1820.5795 - val_loss: 6737.7651 Epoch 469/500 37/37 [==============================] - 1s 14ms/step - loss: 1802.9866 - val_loss: 6755.0649 Epoch 470/500 37/37 [==============================] - 1s 14ms/step - loss: 1821.7710 - val_loss: 7179.6294 Epoch 471/500 37/37 [==============================] - 1s 14ms/step - loss: 1933.1216 - val_loss: 6799.4590 Epoch 472/500 37/37 [==============================] - 1s 14ms/step - loss: 1780.2198 - val_loss: 6725.8994 Epoch 473/500 37/37 [==============================] - 1s 15ms/step - loss: 1962.7889 - val_loss: 6876.3027 Epoch 474/500 37/37 [==============================] - 1s 14ms/step - loss: 1797.6155 - val_loss: 6746.6094 Epoch 475/500 37/37 [==============================] - 1s 14ms/step - loss: 1950.1436 - val_loss: 6699.7041 Epoch 476/500 37/37 [==============================] - 0s 14ms/step - loss: 1888.2802 - val_loss: 6771.4292 Epoch 477/500 37/37 [==============================] - 1s 15ms/step - loss: 1897.7660 - val_loss: 6843.0840 Epoch 478/500 37/37 [==============================] - 1s 15ms/step - loss: 1878.2981 - val_loss: 6715.3721 Epoch 479/500 37/37 [==============================] - 1s 15ms/step - loss: 1846.8121 - val_loss: 6819.9502 Epoch 480/500 37/37 [==============================] - 1s 15ms/step - loss: 1826.0748 - val_loss: 6986.3438 Epoch 481/500 37/37 [==============================] - 1s 14ms/step - loss: 1927.9307 - val_loss: 6917.6475 Epoch 482/500 37/37 [==============================] - 1s 14ms/step - loss: 1871.2460 - val_loss: 6857.4448 Epoch 483/500 37/37 [==============================] - 1s 15ms/step - loss: 1842.6335 - val_loss: 7140.5171 Epoch 484/500 37/37 [==============================] - 1s 14ms/step - loss: 1917.4915 - val_loss: 7209.5264 Epoch 485/500 37/37 [==============================] - 1s 15ms/step - loss: 1851.0659 - val_loss: 6853.6729 Epoch 486/500 37/37 [==============================] - 1s 14ms/step - loss: 1917.1422 - val_loss: 7075.4644 Epoch 487/500 37/37 [==============================] - 0s 13ms/step - loss: 1836.7406 - val_loss: 7224.3638 Epoch 488/500 37/37 [==============================] - 1s 14ms/step - loss: 1839.8773 - val_loss: 6899.6704 Epoch 489/500 37/37 [==============================] - 1s 14ms/step - loss: 1914.3187 - val_loss: 6877.8296 Epoch 490/500 37/37 [==============================] - 1s 15ms/step - loss: 1883.6682 - val_loss: 7114.0894 Epoch 491/500 37/37 [==============================] - 1s 15ms/step - loss: 1807.6877 - val_loss: 7021.2554 Epoch 492/500 37/37 [==============================] - 1s 14ms/step - loss: 1868.1605 - val_loss: 6845.4268 Epoch 493/500 37/37 [==============================] - 1s 14ms/step - loss: 1889.3314 - val_loss: 6944.0615 Epoch 494/500 37/37 [==============================] - 1s 15ms/step - loss: 1927.7555 - val_loss: 6881.1191 Epoch 495/500 37/37 [==============================] - 1s 14ms/step - loss: 1824.5568 - val_loss: 7275.3120 Epoch 496/500 37/37 [==============================] - 1s 14ms/step - loss: 1828.1230 - val_loss: 6955.6958 Epoch 497/500 37/37 [==============================] - 1s 14ms/step - loss: 1877.5487 - val_loss: 7255.4395 Epoch 498/500 37/37 [==============================] - 1s 14ms/step - loss: 1849.6918 - val_loss: 6884.0601 Epoch 499/500 37/37 [==============================] - 1s 14ms/step - loss: 1868.6597 - val_loss: 6814.1660 Epoch 500/500 37/37 [==============================] - 1s 14ms/step - loss: 1778.1266 - val_loss: 6838.9097
Predts = nn.predict(xtest)
from sklearn.metrics import mean_absolute_error
Predtr = nn.predict(xtrain)
print(mean_absolute_error(ytest, Predts))
print(mean_absolute_error(ytrain, Predtr))
2161.7206661717423 2327.9519294167862
Predts = nn.predict(X)
mean_absolute_error(Y, Predts)
2294.7056767677773
A = pd.read_csv("/content/drive/MyDrive/python/Attrition_Project/Trial 01/HR-Employee-Attrition-Table 1.csv")
A.head()
| Attrition | Age | BusinessTravel | DailyRate | Department | DistanceFromHome | Education | EducationField | EmployeeCount | EmployeeNumber | EnvironmentSatisfaction | Gender | HourlyRate | JobInvolvement | JobLevel | JobRole | JobSatisfaction | MaritalStatus | MonthlyIncome | MonthlyRate | NumCompaniesWorked | Over18 | OverTime | PercentSalaryHike | PerformanceRating | RelationshipSatisfaction | StandardHours | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 41 | Travel_Rarely | 1102 | Sales | 1 | 2 | Life Sciences | 1 | 1 | 2 | Female | 94 | 3 | 2 | Sales Executive | 4 | Single | 5993 | 19479 | 8 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 8 | 0 | 1 | 6 | 4 | 0 | 5 |
| 1 | 0 | 49 | Travel_Frequently | 279 | Research & Development | 8 | 1 | Life Sciences | 1 | 2 | 3 | Male | 61 | 2 | 2 | Research Scientist | 2 | Married | 5130 | 24907 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 7 | 1 | 7 |
| 2 | 1 | 37 | Travel_Rarely | 1373 | Research & Development | 2 | 2 | Other | 1 | 4 | 4 | Male | 92 | 2 | 1 | Laboratory Technician | 3 | Single | 2090 | 2396 | 6 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 7 | 3 | 3 | 0 | 0 | 0 | 0 |
| 3 | 0 | 33 | Travel_Frequently | 1392 | Research & Development | 3 | 4 | Life Sciences | 1 | 5 | 4 | Female | 56 | 3 | 1 | Research Scientist | 3 | Married | 2909 | 23159 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 3 | 3 | 8 | 7 | 3 | 0 |
| 4 | 0 | 27 | Travel_Rarely | 591 | Research & Development | 2 | 1 | Medical | 1 | 7 | 1 | Male | 40 | 3 | 1 | Laboratory Technician | 2 | Married | 3468 | 16632 | 9 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
replacer(A)
sns.heatmap(A.corr())
<matplotlib.axes._subplots.AxesSubplot at 0x7f1d8b90c9d0>
X = A.drop(["Attrition","EmployeeCount","EmployeeNumber",'Over18', 'StandardHours'], axis=1)
Y = A[['Attrition']]
def Univariate(A, figsize,rows,columns):
import seaborn as sns
import matplotlib.pyplot as plt
x = 1
plt.figure(figsize=figsize)
for i in A.columns:
if A[i].dtypes == 'object':
plt.subplot(rows,columns,x)
sns.countplot(A[i])
x = x + 1
else:
plt.subplot(rows,columns,x)
sns.distplot(A[i])
x = x+1
Univariate(A,(40,40), 5,7)
def Bivariate(A, Y,figsize,rows,columns):
import seaborn as sns
import matplotlib.pyplot as plt
x = 1
plt.figure(figsize=figsize)
for i in A.columns:
if A[i].dtypes == 'object':
plt.subplot(rows,columns,x)
sns.boxplot(A[i],A[Y])
x = x + 1
else:
plt.subplot(rows,columns,x)
sns.scatterplot(A[i],A[Y])
x = x+1
Bivariate(A,'Attrition',(40,40), 7,5)
import seaborn as sns
import matplotlib.pyplot as plt
sns.countplot(A["Department"], hue="BusinessTravel", data=A)
<matplotlib.axes._subplots.AxesSubplot at 0x7f1d8af37f90>
import pandas as pd
B = pd.read_csv("/content/drive/MyDrive/python/Attrition_Project/Trial 01/HR-Employee-Attrition-Table 1.csv")
B.head()
| Attrition | Age | BusinessTravel | DailyRate | Department | DistanceFromHome | Education | EducationField | EmployeeCount | EmployeeNumber | EnvironmentSatisfaction | Gender | HourlyRate | JobInvolvement | JobLevel | JobRole | JobSatisfaction | MaritalStatus | MonthlyIncome | MonthlyRate | NumCompaniesWorked | Over18 | OverTime | PercentSalaryHike | PerformanceRating | RelationshipSatisfaction | StandardHours | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 41 | Travel_Rarely | 1102 | Sales | 1 | 2 | Life Sciences | 1 | 1 | 2 | Female | 94 | 3 | 2 | Sales Executive | 4 | Single | 5993 | 19479 | 8 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 8 | 0 | 1 | 6 | 4 | 0 | 5 |
| 1 | 0 | 49 | Travel_Frequently | 279 | Research & Development | 8 | 1 | Life Sciences | 1 | 2 | 3 | Male | 61 | 2 | 2 | Research Scientist | 2 | Married | 5130 | 24907 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 7 | 1 | 7 |
| 2 | 1 | 37 | Travel_Rarely | 1373 | Research & Development | 2 | 2 | Other | 1 | 4 | 4 | Male | 92 | 2 | 1 | Laboratory Technician | 3 | Single | 2090 | 2396 | 6 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 7 | 3 | 3 | 0 | 0 | 0 | 0 |
| 3 | 0 | 33 | Travel_Frequently | 1392 | Research & Development | 3 | 4 | Life Sciences | 1 | 5 | 4 | Female | 56 | 3 | 1 | Research Scientist | 3 | Married | 2909 | 23159 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 3 | 3 | 8 | 7 | 3 | 0 |
| 4 | 0 | 27 | Travel_Rarely | 591 | Research & Development | 2 | 1 | Medical | 1 | 7 | 1 | Male | 40 | 3 | 1 | Laboratory Technician | 2 | Married | 3468 | 16632 | 9 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
from google.colab import files
!cp /content/drive/MyDrive/python/Attrition_Project/Trial\ 01/PM8.py /content
from PM8 import replacer, preprocessing
replacer(B)
cat = []
con = []
for i in B.columns:
if B[i].dtypes == 'object':
cat.append(i)
else:
con.append(i)
d = pd.DataFrame([cat, con]).T
d.columns = ["Cate", "Cont"]
d
| Cate | Cont | |
|---|---|---|
| 0 | BusinessTravel | Attrition |
| 1 | Department | Age |
| 2 | EducationField | DailyRate |
| 3 | Gender | DistanceFromHome |
| 4 | JobRole | Education |
| 5 | MaritalStatus | EmployeeCount |
| 6 | Over18 | EmployeeNumber |
| 7 | OverTime | EnvironmentSatisfaction |
| 8 | None | HourlyRate |
| 9 | None | JobInvolvement |
| 10 | None | JobLevel |
| 11 | None | JobSatisfaction |
| 12 | None | MonthlyIncome |
| 13 | None | MonthlyRate |
| 14 | None | NumCompaniesWorked |
| 15 | None | PercentSalaryHike |
| 16 | None | PerformanceRating |
| 17 | None | RelationshipSatisfaction |
| 18 | None | StandardHours |
| 19 | None | StockOptionLevel |
| 20 | None | TotalWorkingYears |
| 21 | None | TrainingTimesLastYear |
| 22 | None | WorkLifeBalance |
| 23 | None | YearsAtCompany |
| 24 | None | YearsInCurrentRole |
| 25 | None | YearsSinceLastPromotion |
| 26 | None | YearsWithCurrManager |
pd.crosstab(B.Department, B.Gender)
| Gender | Female | Male |
|---|---|---|
| Department | ||
| Human Resources | 20 | 43 |
| Research & Development | 379 | 582 |
| Sales | 189 | 257 |
B[cat][:-7]
| BusinessTravel | Department | EducationField | Gender | JobRole | MaritalStatus | Over18 | OverTime | |
|---|---|---|---|---|---|---|---|---|
| 0 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Single | Y | Yes |
| 1 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 2 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Single | Y | Yes |
| 3 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | Yes |
| 4 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 5 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 6 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Married | Y | Yes |
| 7 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | No |
| 8 | Travel_Frequently | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | No |
| 9 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Married | Y | No |
| 10 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 11 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | Yes |
| 12 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 13 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | No |
| 14 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | Yes |
| 15 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Divorced | Y | No |
| 16 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | Yes |
| 17 | Non-Travel | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | Yes |
| 18 | Travel_Rarely | Sales | Life Sciences | Female | Manager | Married | Y | No |
| 19 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | Yes |
| 20 | Non-Travel | Research & Development | Other | Female | Manufacturing Director | Divorced | Y | No |
| 21 | Travel_Rarely | Sales | Life Sciences | Male | Sales Representative | Single | Y | No |
| 22 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Director | Single | Y | No |
| 23 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 24 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 25 | Travel_Rarely | Research & Development | Other | Female | Manager | Divorced | Y | No |
| 26 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | Yes |
| 27 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 28 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Married | Y | No |
| 29 | Travel_Rarely | Sales | Marketing | Female | Manager | Single | Y | No |
| 30 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 31 | Travel_Rarely | Research & Development | Other | Male | Healthcare Representative | Married | Y | Yes |
| 32 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 33 | Travel_Rarely | Sales | Technical Degree | Male | Sales Representative | Married | Y | No |
| 34 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | Yes |
| 35 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Divorced | Y | No |
| 36 | Travel_Rarely | Sales | Marketing | Male | Sales Representative | Married | Y | Yes |
| 37 | Travel_Rarely | Sales | Marketing | Female | Sales Representative | Married | Y | No |
| 38 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | Yes |
| 39 | Travel_Frequently | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 40 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Divorced | Y | No |
| 41 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Divorced | Y | No |
| 42 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 43 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 44 | Travel_Frequently | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 45 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Director | Married | Y | No |
| 46 | Non-Travel | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 47 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 48 | Travel_Frequently | Sales | Marketing | Male | Sales Executive | Single | Y | Yes |
| 49 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 50 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | Yes |
| 51 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Single | Y | Yes |
| 52 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Divorced | Y | Yes |
| 53 | Non-Travel | Research & Development | Medical | Male | Healthcare Representative | Married | Y | Yes |
| 54 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | Yes |
| 55 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Director | Single | Y | Yes |
| 56 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 57 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Married | Y | Yes |
| 58 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | No |
| 59 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Divorced | Y | No |
| 60 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Married | Y | Yes |
| 61 | Travel_Frequently | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | No |
| 62 | Travel_Rarely | Research & Development | Medical | Female | Research Director | Divorced | Y | Yes |
| 63 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Single | Y | No |
| 64 | Travel_Rarely | Research & Development | Technical Degree | Female | Healthcare Representative | Divorced | Y | No |
| 65 | Travel_Rarely | Research & Development | Medical | Female | Manager | Divorced | Y | Yes |
| 66 | Travel_Frequently | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | No |
| 67 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 68 | Travel_Frequently | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 69 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | Yes |
| 70 | Travel_Frequently | Sales | Life Sciences | Female | Sales Executive | Single | Y | No |
| 71 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 72 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 73 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 74 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | No |
| 75 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Single | Y | No |
| 76 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 77 | Travel_Rarely | Research & Development | Other | Male | Research Director | Married | Y | Yes |
| 78 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Single | Y | No |
| 79 | Travel_Rarely | Human Resources | Medical | Male | Human Resources | Divorced | Y | Yes |
| 80 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | Yes |
| 81 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 82 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 83 | Non-Travel | Research & Development | Medical | Female | Research Scientist | Divorced | Y | Yes |
| 84 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Married | Y | No |
| 85 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | No |
| 86 | Travel_Rarely | Sales | Technical Degree | Male | Sales Representative | Divorced | Y | No |
| 87 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 88 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | No |
| 89 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Single | Y | No |
| 90 | Travel_Frequently | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | No |
| 91 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | Yes |
| 92 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Divorced | Y | Yes |
| 93 | Travel_Frequently | Research & Development | Medical | Male | Healthcare Representative | Married | Y | Yes |
| 94 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Single | Y | No |
| 95 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Director | Married | Y | No |
| 96 | Travel_Rarely | Sales | Other | Female | Sales Executive | Married | Y | No |
| 97 | Non-Travel | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 98 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Single | Y | No |
| 99 | Non-Travel | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 100 | Travel_Rarely | Human Resources | Human Resources | Male | Human Resources | Divorced | Y | Yes |
| 101 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 102 | Travel_Frequently | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | Yes |
| 103 | Travel_Rarely | Research & Development | Other | Female | Research Scientist | Single | Y | No |
| 104 | Non-Travel | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 105 | Non-Travel | Human Resources | Human Resources | Female | Manager | Married | Y | No |
| 106 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Director | Married | Y | Yes |
| 107 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | Yes |
| 108 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 109 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 110 | Travel_Frequently | Research & Development | Medical | Female | Healthcare Representative | Single | Y | No |
| 111 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | Yes |
| 112 | Non-Travel | Human Resources | Human Resources | Female | Manager | Single | Y | Yes |
| 113 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 114 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Divorced | Y | No |
| 115 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 116 | Travel_Rarely | Research & Development | Medical | Female | Manager | Single | Y | No |
| 117 | Travel_Frequently | Sales | Technical Degree | Female | Sales Executive | Married | Y | No |
| 118 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Divorced | Y | No |
| 119 | Travel_Frequently | Sales | Life Sciences | Male | Manager | Married | Y | Yes |
| 120 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 121 | Non-Travel | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 122 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | Yes |
| 123 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Single | Y | No |
| 124 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | Yes |
| 125 | Travel_Rarely | Research & Development | Other | Female | Research Scientist | Married | Y | No |
| 126 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Married | Y | No |
| 127 | Travel_Rarely | Sales | Marketing | Male | Sales Representative | Single | Y | Yes |
| 128 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Married | Y | No |
| 129 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Married | Y | No |
| 130 | Travel_Frequently | Research & Development | Medical | Female | Research Scientist | Single | Y | No |
| 131 | Travel_Frequently | Sales | Marketing | Female | Sales Executive | Single | Y | No |
| 132 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | Yes |
| 133 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Divorced | Y | Yes |
| 134 | Travel_Rarely | Human Resources | Life Sciences | Female | Human Resources | Married | Y | No |
| 135 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Divorced | Y | No |
| 136 | Travel_Frequently | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | No |
| 137 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 138 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 139 | Travel_Rarely | Human Resources | Human Resources | Male | Human Resources | Married | Y | Yes |
| 140 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 141 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 142 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Scientist | Single | Y | Yes |
| 143 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 144 | Travel_Frequently | Sales | Medical | Male | Sales Executive | Divorced | Y | No |
| 145 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Scientist | Divorced | Y | No |
| 146 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 147 | Travel_Frequently | Research & Development | Life Sciences | Male | Manager | Divorced | Y | No |
| 148 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 149 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 150 | Travel_Frequently | Research & Development | Medical | Female | Research Scientist | Divorced | Y | No |
| 151 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 152 | Travel_Rarely | Sales | Marketing | Male | Sales Representative | Married | Y | Yes |
| 153 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | No |
| 154 | Travel_Frequently | Sales | Marketing | Female | Sales Executive | Single | Y | No |
| 155 | Non-Travel | Research & Development | Technical Degree | Male | Manufacturing Director | Married | Y | No |
| 156 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Married | Y | No |
| 157 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | Yes |
| 158 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 159 | Travel_Frequently | Sales | Marketing | Female | Sales Representative | Married | Y | No |
| 160 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 161 | Non-Travel | Research & Development | Medical | Male | Research Scientist | Divorced | Y | No |
| 162 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 163 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | Yes |
| 164 | Non-Travel | Research & Development | Medical | Male | Research Scientist | Divorced | Y | Yes |
| 165 | Travel_Rarely | Research & Development | Life Sciences | Female | Manager | Single | Y | No |
| 166 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 167 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 168 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Single | Y | No |
| 169 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 170 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | Yes |
| 171 | Travel_Frequently | Sales | Technical Degree | Female | Sales Representative | Single | Y | No |
| 172 | Travel_Frequently | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 173 | Non-Travel | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | No |
| 174 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Divorced | Y | Yes |
| 175 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Divorced | Y | Yes |
| 176 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 177 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 178 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Divorced | Y | No |
| 179 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | No |
| 180 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | Yes |
| 181 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Single | Y | No |
| 182 | Travel_Rarely | Sales | Marketing | Female | Sales Representative | Single | Y | Yes |
| 183 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 184 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Divorced | Y | No |
| 185 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | No |
| 186 | Travel_Rarely | Research & Development | Medical | Female | Manager | Married | Y | No |
| 187 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Single | Y | No |
| 188 | Travel_Frequently | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | No |
| 189 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Single | Y | No |
| 190 | Travel_Rarely | Research & Development | Life Sciences | Male | Manager | Married | Y | No |
| 191 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Single | Y | No |
| 192 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | Yes |
| 193 | Non-Travel | Research & Development | Medical | Male | Research Scientist | Divorced | Y | No |
| 194 | Non-Travel | Research & Development | Medical | Male | Manager | Married | Y | No |
| 195 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | Yes |
| 196 | Travel_Frequently | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 197 | Non-Travel | Research & Development | Medical | Female | Manufacturing Director | Divorced | Y | No |
| 198 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | No |
| 199 | Travel_Rarely | Research & Development | Technical Degree | Male | Manufacturing Director | Married | Y | No |
| 200 | Travel_Frequently | Research & Development | Technical Degree | Male | Manufacturing Director | Married | Y | No |
| 201 | Non-Travel | Research & Development | Life Sciences | Male | Manufacturing Director | Divorced | Y | Yes |
| 202 | Travel_Frequently | Research & Development | Medical | Male | Research Scientist | Divorced | Y | Yes |
| 203 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | Yes |
| 204 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Married | Y | Yes |
| 205 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 206 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | Yes |
| 207 | Travel_Frequently | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 208 | Non-Travel | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | No |
| 209 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Divorced | Y | No |
| 210 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 211 | Non-Travel | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | No |
| 212 | Travel_Frequently | Sales | Life Sciences | Female | Sales Executive | Single | Y | No |
| 213 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Married | Y | No |
| 214 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Scientist | Single | Y | Yes |
| 215 | Travel_Rarely | Sales | Life Sciences | Female | Manager | Single | Y | Yes |
| 216 | Travel_Frequently | Sales | Marketing | Female | Sales Executive | Single | Y | No |
| 217 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Single | Y | No |
| 218 | Non-Travel | Sales | Medical | Female | Sales Executive | Single | Y | No |
| 219 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 220 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 221 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | No |
| 222 | Travel_Frequently | Research & Development | Other | Male | Research Director | Divorced | Y | Yes |
| 223 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Divorced | Y | No |
| 224 | Non-Travel | Research & Development | Medical | Male | Manufacturing Director | Married | Y | No |
| 225 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 226 | Travel_Frequently | Sales | Marketing | Male | Sales Representative | Divorced | Y | No |
| 227 | Travel_Frequently | Sales | Medical | Female | Sales Executive | Married | Y | No |
| 228 | Travel_Frequently | Sales | Marketing | Female | Sales Executive | Single | Y | No |
| 229 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | Yes |
| 230 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | No |
| 231 | Travel_Rarely | Research & Development | Technical Degree | Male | Manager | Married | Y | No |
| 232 | Travel_Rarely | Human Resources | Medical | Male | Human Resources | Married | Y | No |
| 233 | Travel_Rarely | Sales | Medical | Female | Manager | Divorced | Y | No |
| 234 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | Yes |
| 235 | Travel_Rarely | Sales | Marketing | Female | Manager | Married | Y | Yes |
| 236 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | No |
| 237 | Non-Travel | Sales | Life Sciences | Male | Manager | Single | Y | Yes |
| 238 | Travel_Rarely | Sales | Life Sciences | Female | Sales Representative | Married | Y | No |
| 239 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | Yes |
| 240 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Divorced | Y | No |
| 241 | Non-Travel | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 242 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 243 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Divorced | Y | No |
| 244 | Travel_Rarely | Research & Development | Other | Male | Manager | Married | Y | No |
| 245 | Travel_Frequently | Research & Development | Medical | Male | Research Director | Divorced | Y | No |
| 246 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | No |
| 247 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | No |
| 248 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | No |
| 249 | Travel_Frequently | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | No |
| 250 | Travel_Frequently | Research & Development | Medical | Male | Manufacturing Director | Divorced | Y | No |
| 251 | Travel_Frequently | Research & Development | Technical Degree | Female | Healthcare Representative | Single | Y | No |
| 252 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 253 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | Yes |
| 254 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | No |
| 255 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 256 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Divorced | Y | Yes |
| 257 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Divorced | Y | No |
| 258 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 259 | Travel_Frequently | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 260 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 261 | Non-Travel | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 262 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Single | Y | No |
| 263 | Travel_Rarely | Sales | Technical Degree | Female | Manager | Married | Y | Yes |
| 264 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 265 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 266 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Married | Y | No |
| 267 | Non-Travel | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 268 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Married | Y | Yes |
| 269 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 270 | Travel_Rarely | Research & Development | Medical | Male | Manager | Single | Y | Yes |
| 271 | Non-Travel | Research & Development | Life Sciences | Male | Manager | Married | Y | Yes |
| 272 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 273 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 274 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 275 | Non-Travel | Research & Development | Medical | Female | Research Director | Divorced | Y | Yes |
| 276 | Travel_Rarely | Research & Development | Life Sciences | Female | Manager | Divorced | Y | No |
| 277 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Divorced | Y | Yes |
| 278 | Travel_Frequently | Research & Development | Life Sciences | Female | Manufacturing Director | Divorced | Y | No |
| 279 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Divorced | Y | No |
| 280 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Married | Y | Yes |
| 281 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 282 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 283 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Married | Y | Yes |
| 284 | Travel_Frequently | Research & Development | Medical | Male | Healthcare Representative | Married | Y | Yes |
| 285 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 286 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | Yes |
| 287 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 288 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | Yes |
| 289 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 290 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Director | Single | Y | Yes |
| 291 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Single | Y | No |
| 292 | Travel_Frequently | Sales | Marketing | Female | Sales Representative | Divorced | Y | No |
| 293 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | Yes |
| 294 | Travel_Frequently | Research & Development | Medical | Male | Research Scientist | Married | Y | Yes |
| 295 | Travel_Frequently | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 296 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 297 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 298 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 299 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Divorced | Y | No |
| 300 | Travel_Rarely | Sales | Life Sciences | Male | Manager | Single | Y | No |
| 301 | Travel_Rarely | Sales | Medical | Female | Sales Representative | Single | Y | No |
| 302 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Single | Y | No |
| 303 | Travel_Rarely | Sales | Technical Degree | Male | Sales Executive | Married | Y | No |
| 304 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Divorced | Y | No |
| 305 | Non-Travel | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | No |
| 306 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 307 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Director | Married | Y | No |
| 308 | Non-Travel | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | Yes |
| 309 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | Yes |
| 310 | Travel_Rarely | Human Resources | Human Resources | Male | Human Resources | Married | Y | No |
| 311 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | No |
| 312 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | Yes |
| 313 | Travel_Frequently | Research & Development | Life Sciences | Female | Manager | Married | Y | No |
| 314 | Travel_Rarely | Research & Development | Medical | Male | Manager | Married | Y | Yes |
| 315 | Travel_Frequently | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | No |
| 316 | Travel_Rarely | Research & Development | Technical Degree | Female | Healthcare Representative | Single | Y | Yes |
| 317 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 318 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | Yes |
| 319 | Travel_Rarely | Sales | Technical Degree | Female | Sales Executive | Married | Y | Yes |
| 320 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | Yes |
| 321 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | No |
| 322 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Single | Y | No |
| 323 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | Yes |
| 324 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | No |
| 325 | Travel_Frequently | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 326 | Travel_Frequently | Research & Development | Medical | Male | Manager | Married | Y | No |
| 327 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Married | Y | Yes |
| 328 | Travel_Frequently | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 329 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Married | Y | No |
| 330 | Travel_Frequently | Research & Development | Life Sciences | Female | Laboratory Technician | Divorced | Y | No |
| 331 | Non-Travel | Sales | Marketing | Male | Sales Executive | Married | Y | Yes |
| 332 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 333 | Travel_Rarely | Research & Development | Life Sciences | Female | Healthcare Representative | Married | Y | No |
| 334 | Travel_Rarely | Research & Development | Other | Male | Research Scientist | Married | Y | No |
| 335 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Married | Y | Yes |
| 336 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Married | Y | Yes |
| 337 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Single | Y | No |
| 338 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Divorced | Y | No |
| 339 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 340 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Divorced | Y | No |
| 341 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Divorced | Y | Yes |
| 342 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Single | Y | Yes |
| 343 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Divorced | Y | Yes |
| 344 | Travel_Rarely | Research & Development | Technical Degree | Male | Manufacturing Director | Single | Y | No |
| 345 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 346 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Single | Y | Yes |
| 347 | Travel_Frequently | Sales | Medical | Male | Sales Representative | Single | Y | No |
| 348 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Director | Single | Y | No |
| 349 | Non-Travel | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 350 | Travel_Rarely | Human Resources | Technical Degree | Male | Human Resources | Divorced | Y | Yes |
| 351 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Married | Y | No |
| 352 | Travel_Rarely | Sales | Medical | Female | Manager | Married | Y | No |
| 353 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Divorced | Y | Yes |
| 354 | Non-Travel | Sales | Technical Degree | Female | Sales Executive | Married | Y | Yes |
| 355 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 356 | Travel_Rarely | Research & Development | Other | Male | Healthcare Representative | Single | Y | No |
| 357 | Travel_Frequently | Sales | Technical Degree | Female | Sales Representative | Single | Y | Yes |
| 358 | Non-Travel | Sales | Medical | Female | Sales Executive | Single | Y | No |
| 359 | Travel_Frequently | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 360 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Married | Y | No |
| 361 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | Yes |
| 362 | Non-Travel | Sales | Medical | Male | Sales Representative | Single | Y | No |
| 363 | Travel_Rarely | Sales | Marketing | Female | Sales Representative | Single | Y | Yes |
| 364 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Married | Y | No |
| 365 | Non-Travel | Research & Development | Medical | Female | Manufacturing Director | Married | Y | No |
| 366 | Travel_Frequently | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 367 | Travel_Rarely | Research & Development | Technical Degree | Male | Healthcare Representative | Single | Y | No |
| 368 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | Yes |
| 369 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | Yes |
| 370 | Travel_Rarely | Sales | Life Sciences | Female | Sales Representative | Single | Y | No |
| 371 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 372 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Single | Y | No |
| 373 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | No |
| 374 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 375 | Travel_Rarely | Research & Development | Other | Male | Healthcare Representative | Single | Y | No |
| 376 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 377 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | No |
| 378 | Non-Travel | Sales | Marketing | Male | Sales Executive | Single | Y | Yes |
| 379 | Travel_Rarely | Research & Development | Life Sciences | Female | Manager | Single | Y | Yes |
| 380 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Divorced | Y | Yes |
| 381 | Travel_Rarely | Sales | Technical Degree | Male | Sales Representative | Married | Y | No |
| 382 | Travel_Frequently | Research & Development | Technical Degree | Male | Research Scientist | Single | Y | No |
| 383 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | No |
| 384 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 385 | Travel_Frequently | Research & Development | Technical Degree | Male | Research Scientist | Single | Y | Yes |
| 386 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Divorced | Y | No |
| 387 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Divorced | Y | No |
| 388 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Divorced | Y | No |
| 389 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | Yes |
| 390 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Divorced | Y | No |
| 391 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Married | Y | No |
| 392 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Married | Y | No |
| 393 | Non-Travel | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 394 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Married | Y | No |
| 395 | Travel_Frequently | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 396 | Travel_Rarely | Research & Development | Other | Female | Healthcare Representative | Divorced | Y | Yes |
| 397 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Single | Y | Yes |
| 398 | Non-Travel | Research & Development | Medical | Female | Research Scientist | Married | Y | Yes |
| 399 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 400 | Travel_Frequently | Research & Development | Life Sciences | Male | Manager | Divorced | Y | Yes |
| 401 | Travel_Frequently | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 402 | Travel_Rarely | Sales | Technical Degree | Female | Sales Executive | Single | Y | No |
| 403 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 404 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | No |
| 405 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 406 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Married | Y | Yes |
| 407 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 408 | Travel_Rarely | Research & Development | Life Sciences | Female | Manager | Married | Y | No |
| 409 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Scientist | Divorced | Y | No |
| 410 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Single | Y | No |
| 411 | Travel_Rarely | Research & Development | Life Sciences | Female | Manager | Married | Y | No |
| 412 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Divorced | Y | No |
| 413 | Travel_Frequently | Research & Development | Technical Degree | Female | Healthcare Representative | Married | Y | No |
| 414 | Travel_Rarely | Sales | Technical Degree | Female | Sales Representative | Single | Y | Yes |
| 415 | Travel_Frequently | Sales | Marketing | Female | Sales Representative | Divorced | Y | No |
| 416 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | Yes |
| 417 | Travel_Rarely | Sales | Life Sciences | Female | Manager | Married | Y | No |
| 418 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Divorced | Y | No |
| 419 | Non-Travel | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 420 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Married | Y | No |
| 421 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Scientist | Married | Y | No |
| 422 | Travel_Rarely | Human Resources | Technical Degree | Male | Human Resources | Single | Y | No |
| 423 | Non-Travel | Sales | Other | Female | Sales Executive | Married | Y | No |
| 424 | Travel_Rarely | Sales | Marketing | Male | Manager | Divorced | Y | No |
| 425 | Travel_Rarely | Research & Development | Life Sciences | Male | Manager | Married | Y | No |
| 426 | Non-Travel | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 427 | Travel_Frequently | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 428 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Divorced | Y | No |
| 429 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Married | Y | No |
| 430 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 431 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | No |
| 432 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 433 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | Yes |
| 434 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Divorced | Y | No |
| 435 | Travel_Rarely | Research & Development | Medical | Male | Manager | Married | Y | Yes |
| 436 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | No |
| 437 | Travel_Rarely | Sales | Marketing | Male | Sales Representative | Single | Y | No |
| 438 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | Yes |
| 439 | Travel_Frequently | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | No |
| 440 | Travel_Frequently | Human Resources | Human Resources | Female | Human Resources | Divorced | Y | Yes |
| 441 | Travel_Frequently | Research & Development | Other | Male | Laboratory Technician | Married | Y | No |
| 442 | Non-Travel | Sales | Medical | Male | Sales Executive | Single | Y | No |
| 443 | Travel_Frequently | Research & Development | Technical Degree | Male | Laboratory Technician | Single | Y | No |
| 444 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 445 | Travel_Rarely | Sales | Life Sciences | Female | Manager | Single | Y | No |
| 446 | Non-Travel | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 447 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 448 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Single | Y | No |
| 449 | Travel_Frequently | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | No |
| 450 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | Yes |
| 451 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Married | Y | Yes |
| 452 | Travel_Rarely | Sales | Other | Male | Sales Executive | Married | Y | No |
| 453 | Travel_Frequently | Human Resources | Life Sciences | Female | Human Resources | Divorced | Y | Yes |
| 454 | Travel_Rarely | Research & Development | Technical Degree | Male | Manufacturing Director | Divorced | Y | No |
| 455 | Travel_Rarely | Research & Development | Medical | Female | Research Director | Divorced | Y | No |
| 456 | Travel_Rarely | Sales | Life Sciences | Male | Manager | Divorced | Y | No |
| 457 | Travel_Frequently | Sales | Marketing | Male | Sales Representative | Single | Y | Yes |
| 458 | Non-Travel | Sales | Other | Male | Sales Executive | Divorced | Y | No |
| 459 | Non-Travel | Research & Development | Other | Female | Healthcare Representative | Single | Y | Yes |
| 460 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Divorced | Y | No |
| 461 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Single | Y | No |
| 462 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 463 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Single | Y | Yes |
| 464 | Travel_Rarely | Research & Development | Technical Degree | Female | Manufacturing Director | Single | Y | No |
| 465 | Travel_Frequently | Research & Development | Medical | Female | Healthcare Representative | Married | Y | No |
| 466 | Travel_Rarely | Sales | Life Sciences | Female | Manager | Married | Y | No |
| 467 | Non-Travel | Sales | Medical | Male | Sales Executive | Divorced | Y | No |
| 468 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Divorced | Y | Yes |
| 469 | Non-Travel | Sales | Other | Male | Sales Executive | Married | Y | No |
| 470 | Travel_Frequently | Sales | Medical | Male | Sales Representative | Married | Y | No |
| 471 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Married | Y | No |
| 472 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 473 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Divorced | Y | Yes |
| 474 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | Yes |
| 475 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 476 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Married | Y | No |
| 477 | Travel_Frequently | Human Resources | Medical | Male | Manager | Married | Y | No |
| 478 | Travel_Rarely | Sales | Medical | Male | Sales Representative | Married | Y | No |
| 479 | Travel_Frequently | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | Yes |
| 480 | Travel_Frequently | Sales | Life Sciences | Male | Sales Representative | Married | Y | No |
| 481 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | Yes |
| 482 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Divorced | Y | No |
| 483 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Single | Y | No |
| 484 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Divorced | Y | No |
| 485 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Divorced | Y | No |
| 486 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | Yes |
| 487 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 488 | Travel_Rarely | Research & Development | Life Sciences | Female | Healthcare Representative | Married | Y | No |
| 489 | Travel_Rarely | Research & Development | Other | Male | Research Director | Divorced | Y | Yes |
| 490 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 491 | Travel_Frequently | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | Yes |
| 492 | Travel_Rarely | Research & Development | Life Sciences | Female | Manager | Married | Y | No |
| 493 | Travel_Rarely | Human Resources | Life Sciences | Female | Human Resources | Single | Y | No |
| 494 | Travel_Rarely | Sales | Technical Degree | Female | Sales Representative | Divorced | Y | Yes |
| 495 | Travel_Rarely | Sales | Marketing | Male | Sales Representative | Divorced | Y | No |
| 496 | Travel_Rarely | Sales | Technical Degree | Male | Sales Representative | Single | Y | No |
| 497 | Travel_Rarely | Research & Development | Other | Male | Manager | Married | Y | Yes |
| 498 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 499 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | No |
| 500 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | Yes |
| 501 | Travel_Frequently | Research & Development | Medical | Female | Research Scientist | Divorced | Y | No |
| 502 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Single | Y | No |
| 503 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 504 | Travel_Frequently | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 505 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | Yes |
| 506 | Travel_Rarely | Research & Development | Other | Male | Manufacturing Director | Married | Y | No |
| 507 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Married | Y | No |
| 508 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 509 | Travel_Frequently | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 510 | Travel_Rarely | Human Resources | Medical | Male | Human Resources | Married | Y | No |
| 511 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Divorced | Y | Yes |
| 512 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 513 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | Yes |
| 514 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | Yes |
| 515 | Non-Travel | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 516 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 517 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 518 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Single | Y | No |
| 519 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 520 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 521 | Travel_Frequently | Sales | Medical | Female | Sales Executive | Divorced | Y | Yes |
| 522 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 523 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | Yes |
| 524 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Single | Y | No |
| 525 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Single | Y | No |
| 526 | Travel_Rarely | Research & Development | Technical Degree | Female | Healthcare Representative | Single | Y | No |
| 527 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 528 | Travel_Frequently | Sales | Technical Degree | Male | Sales Executive | Married | Y | Yes |
| 529 | Travel_Rarely | Research & Development | Life Sciences | Female | Healthcare Representative | Single | Y | No |
| 530 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 531 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Director | Single | Y | No |
| 532 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 533 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Married | Y | Yes |
| 534 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Married | Y | No |
| 535 | Travel_Rarely | Human Resources | Human Resources | Male | Manager | Divorced | Y | No |
| 536 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 537 | Travel_Frequently | Research & Development | Life Sciences | Male | Manufacturing Director | Divorced | Y | No |
| 538 | Travel_Rarely | Human Resources | Human Resources | Male | Manager | Married | Y | No |
| 539 | Travel_Rarely | Sales | Marketing | Male | Sales Representative | Married | Y | No |
| 540 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | Yes |
| 541 | Non-Travel | Research & Development | Life Sciences | Female | Research Director | Married | Y | No |
| 542 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Single | Y | Yes |
| 543 | Non-Travel | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 544 | Travel_Frequently | Sales | Medical | Female | Sales Executive | Divorced | Y | Yes |
| 545 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | No |
| 546 | Travel_Rarely | Sales | Life Sciences | Male | Sales Representative | Single | Y | No |
| 547 | Travel_Frequently | Research & Development | Medical | Male | Research Scientist | Divorced | Y | Yes |
| 548 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 549 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Single | Y | No |
| 550 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 551 | Travel_Rarely | Human Resources | Human Resources | Female | Human Resources | Married | Y | No |
| 552 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Married | Y | No |
| 553 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Single | Y | Yes |
| 554 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Single | Y | No |
| 555 | Travel_Rarely | Sales | Marketing | Male | Sales Representative | Divorced | Y | No |
| 556 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 557 | Non-Travel | Research & Development | Life Sciences | Female | Healthcare Representative | Divorced | Y | No |
| 558 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 559 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | Yes |
| 560 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Divorced | Y | No |
| 561 | Travel_Rarely | Sales | Marketing | Male | Manager | Married | Y | No |
| 562 | Travel_Rarely | Research & Development | Other | Male | Research Scientist | Single | Y | Yes |
| 563 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Single | Y | No |
| 564 | Travel_Rarely | Sales | Technical Degree | Male | Sales Representative | Single | Y | No |
| 565 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 566 | Travel_Frequently | Sales | Life Sciences | Female | Sales Executive | Single | Y | Yes |
| 567 | Travel_Rarely | Sales | Other | Male | Sales Executive | Single | Y | No |
| 568 | Travel_Rarely | Research & Development | Medical | Male | Manager | Married | Y | Yes |
| 569 | Non-Travel | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 570 | Non-Travel | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 571 | Travel_Frequently | Research & Development | Life Sciences | Female | Laboratory Technician | Divorced | Y | No |
| 572 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Married | Y | No |
| 573 | Travel_Rarely | Sales | Technical Degree | Male | Sales Executive | Single | Y | No |
| 574 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 575 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Divorced | Y | Yes |
| 576 | Travel_Frequently | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 577 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Divorced | Y | Yes |
| 578 | Travel_Frequently | Research & Development | Life Sciences | Female | Manufacturing Director | Single | Y | Yes |
| 579 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Single | Y | No |
| 580 | Travel_Rarely | Sales | Life Sciences | Female | Sales Representative | Married | Y | No |
| 581 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 582 | Travel_Frequently | Research & Development | Medical | Female | Healthcare Representative | Married | Y | No |
| 583 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 584 | Travel_Frequently | Research & Development | Life Sciences | Male | Manager | Divorced | Y | No |
| 585 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | Yes |
| 586 | Non-Travel | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | No |
| 587 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | No |
| 588 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Married | Y | No |
| 589 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | Yes |
| 590 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Married | Y | No |
| 591 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Single | Y | No |
| 592 | Travel_Rarely | Research & Development | Other | Female | Manager | Married | Y | Yes |
| 593 | Travel_Rarely | Research & Development | Other | Female | Manufacturing Director | Married | Y | No |
| 594 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 595 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Single | Y | Yes |
| 596 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 597 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | Yes |
| 598 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 599 | Travel_Rarely | Human Resources | Human Resources | Male | Human Resources | Married | Y | No |
| 600 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 601 | Travel_Frequently | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 602 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Single | Y | Yes |
| 603 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 604 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | No |
| 605 | Travel_Frequently | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 606 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 607 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 608 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Single | Y | No |
| 609 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Married | Y | No |
| 610 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Director | Divorced | Y | Yes |
| 611 | Travel_Rarely | Research & Development | Other | Male | Manufacturing Director | Single | Y | No |
| 612 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | Yes |
| 613 | Travel_Rarely | Human Resources | Human Resources | Male | Human Resources | Married | Y | No |
| 614 | Travel_Frequently | Research & Development | Medical | Female | Research Scientist | Married | Y | Yes |
| 615 | Non-Travel | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 616 | Travel_Rarely | Sales | Marketing | Female | Manager | Married | Y | No |
| 617 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Single | Y | No |
| 618 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 619 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Divorced | Y | No |
| 620 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Single | Y | No |
| 621 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | Yes |
| 622 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Divorced | Y | No |
| 623 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 624 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | Yes |
| 625 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | Yes |
| 626 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | No |
| 627 | Travel_Frequently | Research & Development | Medical | Female | Manufacturing Director | Married | Y | No |
| 628 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | No |
| 629 | Travel_Rarely | Human Resources | Medical | Male | Human Resources | Divorced | Y | No |
| 630 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | No |
| 631 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | Yes |
| 632 | Travel_Frequently | Research & Development | Medical | Male | Research Scientist | Single | Y | Yes |
| 633 | Travel_Rarely | Human Resources | Life Sciences | Male | Human Resources | Married | Y | No |
| 634 | Travel_Rarely | Sales | Other | Male | Sales Executive | Married | Y | Yes |
| 635 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | Yes |
| 636 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Scientist | Divorced | Y | Yes |
| 637 | Non-Travel | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | No |
| 638 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 639 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Scientist | Married | Y | No |
| 640 | Non-Travel | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 641 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 642 | Travel_Rarely | Sales | Marketing | Male | Sales Representative | Married | Y | No |
| 643 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | Yes |
| 644 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | Yes |
| 645 | Travel_Rarely | Sales | Medical | Female | Sales Representative | Divorced | Y | Yes |
| 646 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 647 | Travel_Rarely | Research & Development | Technical Degree | Male | Manufacturing Director | Married | Y | No |
| 648 | Travel_Frequently | Sales | Medical | Female | Sales Representative | Married | Y | No |
| 649 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Director | Single | Y | No |
| 650 | Travel_Frequently | Research & Development | Life Sciences | Female | Healthcare Representative | Married | Y | No |
| 651 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | Yes |
| 652 | Non-Travel | Sales | Medical | Male | Sales Executive | Single | Y | Yes |
| 653 | Non-Travel | Research & Development | Life Sciences | Male | Manager | Divorced | Y | No |
| 654 | Travel_Rarely | Human Resources | Life Sciences | Female | Human Resources | Married | Y | No |
| 655 | Travel_Rarely | Human Resources | Human Resources | Male | Human Resources | Divorced | Y | Yes |
| 656 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | Yes |
| 657 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Divorced | Y | No |
| 658 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | Yes |
| 659 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Single | Y | No |
| 660 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | Yes |
| 661 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Divorced | Y | No |
| 662 | Travel_Rarely | Sales | Medical | Female | Sales Representative | Single | Y | No |
| 663 | Travel_Rarely | Research & Development | Other | Female | Research Scientist | Single | Y | No |
| 664 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | Yes |
| 665 | Travel_Rarely | Sales | Life Sciences | Female | Sales Representative | Single | Y | Yes |
| 666 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | Yes |
| 667 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Divorced | Y | Yes |
| 668 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Divorced | Y | No |
| 669 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | Yes |
| 670 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 671 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | No |
| 672 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Single | Y | No |
| 673 | Travel_Rarely | Research & Development | Other | Male | Research Scientist | Single | Y | Yes |
| 674 | Travel_Rarely | Research & Development | Technical Degree | Female | Healthcare Representative | Divorced | Y | Yes |
| 675 | Travel_Rarely | Sales | Life Sciences | Male | Sales Representative | Married | Y | No |
| 676 | Travel_Rarely | Research & Development | Life Sciences | Female | Healthcare Representative | Married | Y | Yes |
| 677 | Travel_Rarely | Research & Development | Other | Female | Laboratory Technician | Married | Y | No |
| 678 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 679 | Non-Travel | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 680 | Travel_Rarely | Research & Development | Other | Male | Research Scientist | Single | Y | No |
| 681 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Director | Married | Y | No |
| 682 | Non-Travel | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | No |
| 683 | Travel_Rarely | Sales | Marketing | Male | Sales Representative | Married | Y | Yes |
| 684 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | No |
| 685 | Travel_Frequently | Sales | Medical | Male | Sales Executive | Single | Y | No |
| 686 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Single | Y | Yes |
| 687 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 688 | Travel_Rarely | Sales | Other | Male | Sales Representative | Single | Y | Yes |
| 689 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Single | Y | No |
| 690 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Married | Y | Yes |
| 691 | Travel_Frequently | Research & Development | Medical | Male | Research Scientist | Divorced | Y | Yes |
| 692 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Married | Y | No |
| 693 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | Yes |
| 694 | Travel_Rarely | Research & Development | Life Sciences | Female | Healthcare Representative | Single | Y | No |
| 695 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 696 | Non-Travel | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 697 | Travel_Frequently | Sales | Technical Degree | Female | Sales Representative | Married | Y | No |
| 698 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Married | Y | No |
| 699 | Travel_Rarely | Research & Development | Life Sciences | Male | Manager | Married | Y | No |
| 700 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Single | Y | No |
| 701 | Travel_Rarely | Sales | Medical | Male | Manager | Divorced | Y | No |
| 702 | Travel_Rarely | Sales | Other | Male | Sales Executive | Divorced | Y | No |
| 703 | Non-Travel | Sales | Technical Degree | Female | Sales Executive | Single | Y | Yes |
| 704 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Divorced | Y | No |
| 705 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 706 | Non-Travel | Sales | Life Sciences | Female | Sales Executive | Single | Y | Yes |
| 707 | Travel_Frequently | Research & Development | Medical | Male | Manufacturing Director | Divorced | Y | Yes |
| 708 | Non-Travel | Sales | Technical Degree | Male | Sales Executive | Divorced | Y | No |
| 709 | Non-Travel | Research & Development | Medical | Male | Research Scientist | Single | Y | Yes |
| 710 | Non-Travel | Sales | Life Sciences | Male | Manager | Single | Y | No |
| 711 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | Yes |
| 712 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 713 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Divorced | Y | No |
| 714 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Divorced | Y | No |
| 715 | Travel_Frequently | Research & Development | Other | Female | Healthcare Representative | Married | Y | Yes |
| 716 | Travel_Frequently | Research & Development | Medical | Male | Research Director | Divorced | Y | No |
| 717 | Travel_Rarely | Research & Development | Technical Degree | Female | Laboratory Technician | Married | Y | No |
| 718 | Non-Travel | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | Yes |
| 719 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Single | Y | Yes |
| 720 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | Yes |
| 721 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | Yes |
| 722 | Travel_Frequently | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 723 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Divorced | Y | No |
| 724 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Divorced | Y | No |
| 725 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Divorced | Y | Yes |
| 726 | Travel_Frequently | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 727 | Non-Travel | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 728 | Travel_Rarely | Research & Development | Technical Degree | Female | Manufacturing Director | Married | Y | No |
| 729 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Divorced | Y | Yes |
| 730 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Director | Married | Y | Yes |
| 731 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Single | Y | Yes |
| 732 | Travel_Frequently | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 733 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Married | Y | No |
| 734 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 735 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Single | Y | No |
| 736 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Single | Y | No |
| 737 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Single | Y | No |
| 738 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 739 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 740 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Divorced | Y | No |
| 741 | Travel_Rarely | Sales | Marketing | Male | Manager | Married | Y | No |
| 742 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 743 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Single | Y | Yes |
| 744 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Married | Y | No |
| 745 | Travel_Frequently | Research & Development | Medical | Male | Healthcare Representative | Married | Y | Yes |
| 746 | Non-Travel | Research & Development | Life Sciences | Female | Research Director | Divorced | Y | No |
| 747 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | Yes |
| 748 | Non-Travel | Sales | Medical | Male | Sales Executive | Single | Y | No |
| 749 | Travel_Rarely | Sales | Marketing | Female | Manager | Married | Y | No |
| 750 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Married | Y | Yes |
| 751 | Non-Travel | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 752 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | No |
| 753 | Travel_Frequently | Research & Development | Medical | Female | Manufacturing Director | Single | Y | Yes |
| 754 | Non-Travel | Sales | Life Sciences | Female | Sales Representative | Single | Y | No |
| 755 | Travel_Rarely | Sales | Life Sciences | Female | Manager | Married | Y | No |
| 756 | Non-Travel | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 757 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | No |
| 758 | Travel_Rarely | Sales | Technical Degree | Male | Manager | Married | Y | Yes |
| 759 | Travel_Rarely | Human Resources | Medical | Male | Human Resources | Single | Y | No |
| 760 | Travel_Frequently | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 761 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Divorced | Y | No |
| 762 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | Yes |
| 763 | Travel_Rarely | Sales | Life Sciences | Female | Sales Representative | Married | Y | Yes |
| 764 | Travel_Rarely | Sales | Medical | Male | Sales Representative | Married | Y | No |
| 765 | Travel_Frequently | Research & Development | Other | Male | Research Scientist | Married | Y | No |
| 766 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Married | Y | Yes |
| 767 | Travel_Rarely | Research & Development | Other | Female | Healthcare Representative | Single | Y | No |
| 768 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 769 | Travel_Frequently | Research & Development | Medical | Female | Research Scientist | Divorced | Y | No |
| 770 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Divorced | Y | No |
| 771 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 772 | Travel_Frequently | Research & Development | Medical | Female | Research Scientist | Married | Y | No |
| 773 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Single | Y | No |
| 774 | Non-Travel | Research & Development | Medical | Male | Manager | Single | Y | No |
| 775 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Divorced | Y | No |
| 776 | Travel_Frequently | Sales | Marketing | Female | Sales Representative | Single | Y | Yes |
| 777 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | No |
| 778 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Divorced | Y | Yes |
| 779 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | Yes |
| 780 | Non-Travel | Research & Development | Technical Degree | Male | Healthcare Representative | Single | Y | No |
| 781 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 782 | Travel_Rarely | Research & Development | Other | Male | Manufacturing Director | Married | Y | No |
| 783 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Scientist | Married | Y | No |
| 784 | Travel_Rarely | Research & Development | Life Sciences | Female | Healthcare Representative | Married | Y | No |
| 785 | Travel_Rarely | Research & Development | Technical Degree | Male | Healthcare Representative | Married | Y | No |
| 786 | Non-Travel | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 787 | Travel_Frequently | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | No |
| 788 | Travel_Rarely | Research & Development | Other | Female | Research Scientist | Single | Y | No |
| 789 | Travel_Rarely | Human Resources | Medical | Male | Human Resources | Married | Y | No |
| 790 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 791 | Travel_Rarely | Sales | Technical Degree | Male | Sales Executive | Single | Y | Yes |
| 792 | Travel_Frequently | Research & Development | Medical | Female | Research Scientist | Single | Y | No |
| 793 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | No |
| 794 | Travel_Frequently | Research & Development | Life Sciences | Male | Healthcare Representative | Single | Y | No |
| 795 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Divorced | Y | Yes |
| 796 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Married | Y | Yes |
| 797 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | No |
| 798 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | Yes |
| 799 | Travel_Rarely | Research & Development | Medical | Male | Manager | Married | Y | No |
| 800 | Travel_Frequently | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | No |
| 801 | Travel_Frequently | Sales | Other | Male | Sales Executive | Single | Y | Yes |
| 802 | Travel_Frequently | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 803 | Non-Travel | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 804 | Non-Travel | Research & Development | Medical | Male | Manager | Single | Y | No |
| 805 | Non-Travel | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 806 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Single | Y | No |
| 807 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | Yes |
| 808 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Divorced | Y | No |
| 809 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Divorced | Y | No |
| 810 | Travel_Rarely | Sales | Marketing | Male | Manager | Married | Y | No |
| 811 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 812 | Travel_Frequently | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 813 | Travel_Frequently | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 814 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Single | Y | No |
| 815 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Scientist | Single | Y | Yes |
| 816 | Non-Travel | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 817 | Non-Travel | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | No |
| 818 | Travel_Frequently | Sales | Life Sciences | Male | Sales Representative | Married | Y | No |
| 819 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 820 | Travel_Frequently | Sales | Marketing | Male | Sales Executive | Divorced | Y | No |
| 821 | Travel_Rarely | Sales | Technical Degree | Male | Sales Executive | Married | Y | No |
| 822 | Travel_Frequently | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | No |
| 823 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Scientist | Divorced | Y | No |
| 824 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 825 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Married | Y | Yes |
| 826 | Travel_Rarely | Human Resources | Human Resources | Male | Human Resources | Married | Y | No |
| 827 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | Yes |
| 828 | Non-Travel | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 829 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Single | Y | Yes |
| 830 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | Yes |
| 831 | Travel_Frequently | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 832 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Divorced | Y | No |
| 833 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 834 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 835 | Travel_Rarely | Human Resources | Technical Degree | Male | Human Resources | Single | Y | No |
| 836 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 837 | Travel_Frequently | Research & Development | Medical | Female | Research Director | Single | Y | No |
| 838 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Single | Y | Yes |
| 839 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 840 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 841 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 842 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | Yes |
| 843 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 844 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 845 | Travel_Frequently | Research & Development | Medical | Female | Research Scientist | Married | Y | Yes |
| 846 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Divorced | Y | No |
| 847 | Travel_Frequently | Research & Development | Medical | Male | Healthcare Representative | Single | Y | No |
| 848 | Travel_Frequently | Research & Development | Other | Male | Laboratory Technician | Married | Y | No |
| 849 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Single | Y | No |
| 850 | Non-Travel | Sales | Life Sciences | Female | Sales Representative | Divorced | Y | No |
| 851 | Travel_Rarely | Research & Development | Technical Degree | Female | Manager | Divorced | Y | No |
| 852 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Married | Y | No |
| 853 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 854 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | Yes |
| 855 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 856 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 857 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | Yes |
| 858 | Travel_Rarely | Research & Development | Medical | Female | Manager | Divorced | Y | No |
| 859 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | Yes |
| 860 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | Yes |
| 861 | Travel_Rarely | Sales | Marketing | Female | Manager | Married | Y | No |
| 862 | Non-Travel | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 863 | Travel_Rarely | Human Resources | Human Resources | Male | Human Resources | Married | Y | No |
| 864 | Non-Travel | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 865 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Divorced | Y | No |
| 866 | Travel_Frequently | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 867 | Travel_Frequently | Research & Development | Medical | Female | Manager | Married | Y | No |
| 868 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 869 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Married | Y | No |
| 870 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | Yes |
| 871 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | No |
| 872 | Travel_Frequently | Sales | Medical | Female | Sales Executive | Married | Y | No |
| 873 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | No |
| 874 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | No |
| 875 | Travel_Rarely | Research & Development | Other | Male | Research Scientist | Single | Y | No |
| 876 | Travel_Rarely | Sales | Marketing | Male | Sales Representative | Single | Y | No |
| 877 | Travel_Rarely | Research & Development | Technical Degree | Male | Manufacturing Director | Divorced | Y | No |
| 878 | Non-Travel | Human Resources | Medical | Male | Human Resources | Married | Y | No |
| 879 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | Yes |
| 880 | Travel_Frequently | Research & Development | Other | Female | Laboratory Technician | Married | Y | No |
| 881 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | Yes |
| 882 | Travel_Rarely | Research & Development | Technical Degree | Female | Manufacturing Director | Divorced | Y | Yes |
| 883 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 884 | Travel_Rarely | Sales | Technical Degree | Female | Sales Executive | Divorced | Y | No |
| 885 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 886 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | Yes |
| 887 | Travel_Frequently | Research & Development | Medical | Female | Research Director | Married | Y | Yes |
| 888 | Non-Travel | Sales | Marketing | Female | Sales Executive | Married | Y | Yes |
| 889 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | Yes |
| 890 | Travel_Frequently | Research & Development | Life Sciences | Female | Manufacturing Director | Divorced | Y | No |
| 891 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | No |
| 892 | Non-Travel | Research & Development | Medical | Female | Research Scientist | Single | Y | Yes |
| 893 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Divorced | Y | No |
| 894 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Married | Y | No |
| 895 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Married | Y | Yes |
| 896 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Single | Y | No |
| 897 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Single | Y | No |
| 898 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Married | Y | No |
| 899 | Travel_Rarely | Research & Development | Medical | Male | Manager | Married | Y | No |
| 900 | Travel_Frequently | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | No |
| 901 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Single | Y | No |
| 902 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 903 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | Yes |
| 904 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Single | Y | No |
| 905 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Director | Divorced | Y | No |
| 906 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Scientist | Married | Y | No |
| 907 | Travel_Rarely | Sales | Marketing | Male | Manager | Married | Y | No |
| 908 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | Yes |
| 909 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | Yes |
| 910 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 911 | Travel_Frequently | Sales | Life Sciences | Male | Sales Representative | Single | Y | Yes |
| 912 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | Yes |
| 913 | Travel_Rarely | Sales | Marketing | Female | Manager | Single | Y | Yes |
| 914 | Non-Travel | Research & Development | Medical | Male | Healthcare Representative | Divorced | Y | Yes |
| 915 | Travel_Frequently | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | No |
| 916 | Travel_Rarely | Sales | Marketing | Female | Manager | Married | Y | No |
| 917 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Single | Y | Yes |
| 918 | Travel_Frequently | Sales | Life Sciences | Male | Manager | Divorced | Y | Yes |
| 919 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Single | Y | No |
| 920 | Travel_Frequently | Research & Development | Medical | Female | Laboratory Technician | Divorced | Y | No |
| 921 | Travel_Frequently | Research & Development | Medical | Male | Laboratory Technician | Single | Y | Yes |
| 922 | Travel_Rarely | Research & Development | Life Sciences | Male | Manager | Divorced | Y | No |
| 923 | Travel_Frequently | Human Resources | Life Sciences | Male | Human Resources | Married | Y | No |
| 924 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | Yes |
| 925 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | Yes |
| 926 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Single | Y | No |
| 927 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Single | Y | Yes |
| 928 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Married | Y | No |
| 929 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | Yes |
| 930 | Travel_Frequently | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 931 | Non-Travel | Research & Development | Medical | Female | Manufacturing Director | Single | Y | Yes |
| 932 | Travel_Rarely | Research & Development | Technical Degree | Female | Laboratory Technician | Divorced | Y | Yes |
| 933 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Single | Y | No |
| 934 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Single | Y | No |
| 935 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 936 | Travel_Frequently | Research & Development | Medical | Female | Manager | Single | Y | No |
| 937 | Travel_Rarely | Research & Development | Medical | Female | Manager | Divorced | Y | Yes |
| 938 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 939 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 940 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 941 | Travel_Rarely | Research & Development | Technical Degree | Female | Laboratory Technician | Married | Y | No |
| 942 | Travel_Rarely | Research & Development | Technical Degree | Female | Healthcare Representative | Married | Y | No |
| 943 | Travel_Rarely | Human Resources | Life Sciences | Female | Human Resources | Single | Y | No |
| 944 | Non-Travel | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | No |
| 945 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Director | Married | Y | Yes |
| 946 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | Yes |
| 947 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | Yes |
| 948 | Travel_Rarely | Research & Development | Medical | Female | Manager | Married | Y | Yes |
| 949 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | No |
| 950 | Non-Travel | Sales | Life Sciences | Female | Sales Executive | Divorced | Y | Yes |
| 951 | Non-Travel | Sales | Medical | Male | Sales Executive | Single | Y | No |
| 952 | Travel_Frequently | Sales | Life Sciences | Female | Sales Representative | Single | Y | Yes |
| 953 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 954 | Non-Travel | Research & Development | Life Sciences | Male | Manager | Married | Y | Yes |
| 955 | Travel_Rarely | Research & Development | Medical | Female | Manager | Married | Y | No |
| 956 | Travel_Rarely | Human Resources | Life Sciences | Male | Manager | Single | Y | No |
| 957 | Non-Travel | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 958 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 959 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 960 | Travel_Frequently | Sales | Marketing | Female | Sales Executive | Divorced | Y | No |
| 961 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | Yes |
| 962 | Travel_Rarely | Human Resources | Life Sciences | Male | Manager | Divorced | Y | Yes |
| 963 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Divorced | Y | No |
| 964 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Single | Y | No |
| 965 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 966 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Married | Y | Yes |
| 967 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 968 | Travel_Frequently | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 969 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | No |
| 970 | Travel_Rarely | Sales | Medical | Female | Sales Representative | Married | Y | No |
| 971 | Travel_Rarely | Research & Development | Technical Degree | Female | Manufacturing Director | Single | Y | No |
| 972 | Non-Travel | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | No |
| 973 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Married | Y | No |
| 974 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 975 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | Yes |
| 976 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | Yes |
| 977 | Non-Travel | Research & Development | Technical Degree | Female | Research Scientist | Divorced | Y | No |
| 978 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Divorced | Y | No |
| 979 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 980 | Travel_Frequently | Sales | Life Sciences | Female | Sales Representative | Single | Y | No |
| 981 | Travel_Frequently | Sales | Marketing | Female | Sales Executive | Married | Y | Yes |
| 982 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 983 | Travel_Rarely | Research & Development | Technical Degree | Female | Healthcare Representative | Single | Y | No |
| 984 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 985 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Married | Y | Yes |
| 986 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | Yes |
| 987 | Travel_Frequently | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 988 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Scientist | Divorced | Y | Yes |
| 989 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | Yes |
| 990 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 991 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | Yes |
| 992 | Non-Travel | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | No |
| 993 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 994 | Travel_Frequently | Research & Development | Medical | Female | Manufacturing Director | Married | Y | Yes |
| 995 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Single | Y | Yes |
| 996 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | Yes |
| 997 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | Yes |
| 998 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 999 | Travel_Rarely | Human Resources | Human Resources | Female | Manager | Married | Y | No |
| 1000 | Travel_Rarely | Research & Development | Other | Female | Laboratory Technician | Married | Y | No |
| 1001 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 1002 | Travel_Frequently | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | No |
| 1003 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Married | Y | No |
| 1004 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Single | Y | No |
| 1005 | Travel_Rarely | Human Resources | Other | Male | Human Resources | Single | Y | No |
| 1006 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 1007 | Travel_Frequently | Research & Development | Other | Female | Healthcare Representative | Single | Y | Yes |
| 1008 | Travel_Rarely | Research & Development | Medical | Female | Research Director | Single | Y | No |
| 1009 | Travel_Rarely | Research & Development | Medical | Female | Research Director | Married | Y | Yes |
| 1010 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Divorced | Y | No |
| 1011 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Single | Y | Yes |
| 1012 | Travel_Frequently | Sales | Life Sciences | Female | Sales Representative | Single | Y | No |
| 1013 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Divorced | Y | No |
| 1014 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Director | Single | Y | No |
| 1015 | Travel_Frequently | Research & Development | Other | Male | Research Scientist | Divorced | Y | No |
| 1016 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 1017 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 1018 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 1019 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 1020 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | No |
| 1021 | Travel_Rarely | Sales | Life Sciences | Male | Sales Representative | Married | Y | No |
| 1022 | Non-Travel | Research & Development | Technical Degree | Male | Laboratory Technician | Single | Y | No |
| 1023 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | No |
| 1024 | Travel_Rarely | Research & Development | Medical | Female | Research Director | Married | Y | No |
| 1025 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Married | Y | Yes |
| 1026 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 1027 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | No |
| 1028 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | Yes |
| 1029 | Non-Travel | Research & Development | Other | Male | Laboratory Technician | Divorced | Y | No |
| 1030 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Divorced | Y | No |
| 1031 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | No |
| 1032 | Non-Travel | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | Yes |
| 1033 | Travel_Frequently | Research & Development | Life Sciences | Female | Manufacturing Director | Single | Y | No |
| 1034 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Divorced | Y | Yes |
| 1035 | Travel_Rarely | Human Resources | Medical | Female | Human Resources | Single | Y | No |
| 1036 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | Yes |
| 1037 | Travel_Rarely | Research & Development | Technical Degree | Male | Manufacturing Director | Married | Y | Yes |
| 1038 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | No |
| 1039 | Travel_Rarely | Human Resources | Technical Degree | Female | Human Resources | Married | Y | No |
| 1040 | Non-Travel | Research & Development | Medical | Male | Research Director | Divorced | Y | No |
| 1041 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Single | Y | No |
| 1042 | Non-Travel | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 1043 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Single | Y | No |
| 1044 | Travel_Rarely | Research & Development | Technical Degree | Male | Healthcare Representative | Married | Y | No |
| 1045 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Divorced | Y | No |
| 1046 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 1047 | Travel_Frequently | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 1048 | Travel_Rarely | Sales | Other | Male | Sales Executive | Single | Y | No |
| 1049 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 1050 | Travel_Frequently | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 1051 | Travel_Frequently | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 1052 | Non-Travel | Research & Development | Technical Degree | Male | Research Scientist | Divorced | Y | No |
| 1053 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 1054 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 1055 | Travel_Frequently | Research & Development | Medical | Male | Research Director | Divorced | Y | No |
| 1056 | Travel_Frequently | Sales | Technical Degree | Male | Sales Representative | Married | Y | No |
| 1057 | Travel_Frequently | Sales | Technical Degree | Female | Sales Executive | Single | Y | No |
| 1058 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Single | Y | Yes |
| 1059 | Travel_Rarely | Sales | Life Sciences | Male | Sales Representative | Married | Y | No |
| 1060 | Travel_Frequently | Research & Development | Medical | Male | Laboratory Technician | Single | Y | Yes |
| 1061 | Non-Travel | Sales | Life Sciences | Female | Sales Representative | Married | Y | No |
| 1062 | Travel_Frequently | Research & Development | Medical | Male | Manufacturing Director | Single | Y | Yes |
| 1063 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Divorced | Y | No |
| 1064 | Travel_Rarely | Human Resources | Life Sciences | Male | Human Resources | Divorced | Y | No |
| 1065 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | Yes |
| 1066 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Married | Y | No |
| 1067 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Married | Y | Yes |
| 1068 | Travel_Frequently | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 1069 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 1070 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 1071 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Married | Y | No |
| 1072 | Travel_Frequently | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | No |
| 1073 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | No |
| 1074 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Single | Y | Yes |
| 1075 | Travel_Rarely | Research & Development | Medical | Male | Manager | Single | Y | No |
| 1076 | Travel_Frequently | Research & Development | Medical | Female | Manager | Divorced | Y | No |
| 1077 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Single | Y | No |
| 1078 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Married | Y | No |
| 1079 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Single | Y | No |
| 1080 | Travel_Rarely | Sales | Life Sciences | Female | Manager | Married | Y | No |
| 1081 | Travel_Rarely | Research & Development | Life Sciences | Female | Healthcare Representative | Single | Y | No |
| 1082 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 1083 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 1084 | Travel_Rarely | Sales | Technical Degree | Male | Sales Executive | Married | Y | Yes |
| 1085 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | No |
| 1086 | Travel_Frequently | Research & Development | Medical | Male | Research Director | Single | Y | Yes |
| 1087 | Travel_Rarely | Sales | Technical Degree | Male | Sales Representative | Married | Y | Yes |
| 1088 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 1089 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 1090 | Travel_Rarely | Research & Development | Other | Female | Healthcare Representative | Married | Y | No |
| 1091 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | No |
| 1092 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | No |
| 1093 | Travel_Frequently | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | Yes |
| 1094 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 1095 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | Yes |
| 1096 | Travel_Rarely | Human Resources | Medical | Male | Manager | Single | Y | Yes |
| 1097 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Divorced | Y | No |
| 1098 | Non-Travel | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | Yes |
| 1099 | Travel_Rarely | Research & Development | Technical Degree | Male | Healthcare Representative | Divorced | Y | No |
| 1100 | Travel_Rarely | Sales | Life Sciences | Female | Sales Representative | Married | Y | No |
| 1101 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | No |
| 1102 | Travel_Rarely | Sales | Life Sciences | Male | Sales Representative | Single | Y | Yes |
| 1103 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Divorced | Y | No |
| 1104 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 1105 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 1106 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 1107 | Travel_Frequently | Human Resources | Human Resources | Male | Human Resources | Married | Y | No |
| 1108 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 1109 | Travel_Rarely | Sales | Technical Degree | Male | Sales Executive | Married | Y | No |
| 1110 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Divorced | Y | Yes |
| 1111 | Travel_Rarely | Research & Development | Technical Degree | Female | Manufacturing Director | Married | Y | No |
| 1112 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Married | Y | No |
| 1113 | Non-Travel | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | No |
| 1114 | Travel_Rarely | Research & Development | Other | Female | Research Scientist | Married | Y | No |
| 1115 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 1116 | Travel_Rarely | Sales | Marketing | Male | Manager | Married | Y | No |
| 1117 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 1118 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | No |
| 1119 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 1120 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Single | Y | No |
| 1121 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Single | Y | No |
| 1122 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Single | Y | Yes |
| 1123 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Single | Y | Yes |
| 1124 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 1125 | Travel_Frequently | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 1126 | Travel_Rarely | Sales | Marketing | Male | Manager | Married | Y | Yes |
| 1127 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | No |
| 1128 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | Yes |
| 1129 | Travel_Rarely | Research & Development | Other | Male | Manager | Single | Y | No |
| 1130 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 1131 | Travel_Frequently | Research & Development | Technical Degree | Male | Healthcare Representative | Married | Y | No |
| 1132 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 1133 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Divorced | Y | No |
| 1134 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 1135 | Travel_Rarely | Sales | Life Sciences | Male | Manager | Single | Y | No |
| 1136 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | Yes |
| 1137 | Non-Travel | Research & Development | Other | Female | Research Scientist | Married | Y | Yes |
| 1138 | Travel_Frequently | Research & Development | Medical | Male | Healthcare Representative | Married | Y | Yes |
| 1139 | Travel_Rarely | Research & Development | Other | Female | Research Scientist | Married | Y | No |
| 1140 | Travel_Rarely | Research & Development | Medical | Female | Research Director | Divorced | Y | Yes |
| 1141 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 1142 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Single | Y | Yes |
| 1143 | Non-Travel | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 1144 | Travel_Frequently | Sales | Other | Male | Sales Executive | Single | Y | No |
| 1145 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | Yes |
| 1146 | Travel_Frequently | Research & Development | Life Sciences | Male | Manufacturing Director | Divorced | Y | No |
| 1147 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | No |
| 1148 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Married | Y | No |
| 1149 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Divorced | Y | No |
| 1150 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 1151 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Divorced | Y | No |
| 1152 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 1153 | Travel_Frequently | Sales | Medical | Female | Sales Representative | Single | Y | Yes |
| 1154 | Travel_Rarely | Human Resources | Life Sciences | Female | Manager | Married | Y | No |
| 1155 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | No |
| 1156 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 1157 | Non-Travel | Research & Development | Life Sciences | Female | Healthcare Representative | Married | Y | No |
| 1158 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | No |
| 1159 | Travel_Frequently | Research & Development | Medical | Female | Manufacturing Director | Single | Y | No |
| 1160 | Travel_Rarely | Research & Development | Other | Female | Manufacturing Director | Divorced | Y | No |
| 1161 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Married | Y | Yes |
| 1162 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 1163 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | No |
| 1164 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Single | Y | Yes |
| 1165 | Travel_Frequently | Human Resources | Human Resources | Male | Human Resources | Married | Y | Yes |
| 1166 | Travel_Frequently | Research & Development | Medical | Male | Manager | Married | Y | No |
| 1167 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Divorced | Y | Yes |
| 1168 | Travel_Frequently | Research & Development | Technical Degree | Female | Research Scientist | Single | Y | Yes |
| 1169 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | No |
| 1170 | Travel_Frequently | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 1171 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | Yes |
| 1172 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Single | Y | No |
| 1173 | Travel_Rarely | Research & Development | Life Sciences | Female | Healthcare Representative | Married | Y | No |
| 1174 | Travel_Frequently | Research & Development | Life Sciences | Male | Manufacturing Director | Divorced | Y | No |
| 1175 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Married | Y | No |
| 1176 | Travel_Rarely | Research & Development | Other | Female | Research Director | Married | Y | No |
| 1177 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Director | Divorced | Y | No |
| 1178 | Travel_Rarely | Sales | Medical | Female | Sales Representative | Single | Y | No |
| 1179 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Divorced | Y | No |
| 1180 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 1181 | Travel_Rarely | Research & Development | Life Sciences | Female | Healthcare Representative | Married | Y | Yes |
| 1182 | Non-Travel | Research & Development | Medical | Female | Manufacturing Director | Married | Y | No |
| 1183 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 1184 | Travel_Rarely | Research & Development | Medical | Female | Manager | Married | Y | No |
| 1185 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Married | Y | No |
| 1186 | Travel_Frequently | Sales | Other | Male | Sales Executive | Single | Y | Yes |
| 1187 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 1188 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Divorced | Y | Yes |
| 1189 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Divorced | Y | No |
| 1190 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Divorced | Y | No |
| 1191 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 1192 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Divorced | Y | Yes |
| 1193 | Travel_Frequently | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 1194 | Travel_Rarely | Sales | Life Sciences | Female | Manager | Divorced | Y | No |
| 1195 | Travel_Rarely | Research & Development | Life Sciences | Male | Manager | Single | Y | No |
| 1196 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | Yes |
| 1197 | Travel_Rarely | Sales | Life Sciences | Male | Sales Representative | Single | Y | No |
| 1198 | Non-Travel | Sales | Life Sciences | Female | Sales Executive | Divorced | Y | Yes |
| 1199 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | No |
| 1200 | Travel_Rarely | Human Resources | Life Sciences | Female | Human Resources | Divorced | Y | Yes |
| 1201 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Single | Y | Yes |
| 1202 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Married | Y | No |
| 1203 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Married | Y | No |
| 1204 | Travel_Frequently | Sales | Medical | Female | Sales Representative | Married | Y | Yes |
| 1205 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 1206 | Non-Travel | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 1207 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Divorced | Y | No |
| 1208 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 1209 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Divorced | Y | No |
| 1210 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 1211 | Travel_Frequently | Sales | Medical | Male | Sales Executive | Divorced | Y | No |
| 1212 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | No |
| 1213 | Travel_Rarely | Sales | Life Sciences | Male | Sales Representative | Divorced | Y | Yes |
| 1214 | Travel_Rarely | Research & Development | Life Sciences | Female | Healthcare Representative | Married | Y | Yes |
| 1215 | Travel_Frequently | Research & Development | Medical | Male | Research Scientist | Single | Y | Yes |
| 1216 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Married | Y | Yes |
| 1217 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | No |
| 1218 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 1219 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Married | Y | No |
| 1220 | Travel_Rarely | Sales | Life Sciences | Female | Sales Representative | Single | Y | No |
| 1221 | Non-Travel | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | No |
| 1222 | Travel_Rarely | Human Resources | Human Resources | Male | Human Resources | Married | Y | No |
| 1223 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 1224 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 1225 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Director | Single | Y | No |
| 1226 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 1227 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 1228 | Non-Travel | Human Resources | Human Resources | Male | Human Resources | Married | Y | No |
| 1229 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | Yes |
| 1230 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | No |
| 1231 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Single | Y | No |
| 1232 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | No |
| 1233 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 1234 | Non-Travel | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 1235 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Divorced | Y | Yes |
| 1236 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | Yes |
| 1237 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 1238 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Single | Y | No |
| 1239 | Travel_Frequently | Research & Development | Technical Degree | Female | Manufacturing Director | Single | Y | No |
| 1240 | Non-Travel | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | Yes |
| 1241 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 1242 | Travel_Rarely | Sales | Medical | Male | Manager | Single | Y | No |
| 1243 | Travel_Rarely | Human Resources | Life Sciences | Female | Human Resources | Married | Y | No |
| 1244 | Travel_Frequently | Research & Development | Technical Degree | Female | Research Scientist | Single | Y | No |
| 1245 | Travel_Frequently | Human Resources | Medical | Male | Human Resources | Married | Y | No |
| 1246 | Travel_Frequently | Human Resources | Human Resources | Female | Human Resources | Divorced | Y | No |
| 1247 | Travel_Rarely | Sales | Technical Degree | Male | Sales Executive | Married | Y | No |
| 1248 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Single | Y | No |
| 1249 | Travel_Rarely | Sales | Marketing | Female | Sales Representative | Single | Y | No |
| 1250 | Travel_Frequently | Research & Development | Life Sciences | Male | Healthcare Representative | Single | Y | Yes |
| 1251 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | No |
| 1252 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | Yes |
| 1253 | Non-Travel | Sales | Marketing | Female | Sales Executive | Single | Y | No |
| 1254 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Single | Y | No |
| 1255 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Single | Y | Yes |
| 1256 | Travel_Frequently | Research & Development | Medical | Female | Laboratory Technician | Married | Y | No |
| 1257 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 1258 | Travel_Rarely | Research & Development | Technical Degree | Female | Research Scientist | Divorced | Y | No |
| 1259 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | No |
| 1260 | Non-Travel | Research & Development | Technical Degree | Male | Research Scientist | Single | Y | No |
| 1261 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Married | Y | Yes |
| 1262 | Travel_Frequently | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | Yes |
| 1263 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | No |
| 1264 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Married | Y | No |
| 1265 | Non-Travel | Research & Development | Technical Degree | Male | Research Scientist | Divorced | Y | No |
| 1266 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | No |
| 1267 | Non-Travel | Sales | Life Sciences | Male | Sales Executive | Divorced | Y | Yes |
| 1268 | Non-Travel | Research & Development | Medical | Female | Manufacturing Director | Married | Y | Yes |
| 1269 | Travel_Rarely | Human Resources | Life Sciences | Male | Human Resources | Single | Y | No |
| 1270 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Single | Y | No |
| 1271 | Travel_Rarely | Sales | Marketing | Male | Sales Representative | Single | Y | No |
| 1272 | Travel_Rarely | Research & Development | Other | Female | Laboratory Technician | Married | Y | No |
| 1273 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Married | Y | Yes |
| 1274 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 1275 | Travel_Rarely | Research & Development | Technical Degree | Female | Manager | Married | Y | No |
| 1276 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 1277 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Divorced | Y | Yes |
| 1278 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | Yes |
| 1279 | Travel_Frequently | Research & Development | Medical | Male | Research Scientist | Divorced | Y | Yes |
| 1280 | Travel_Rarely | Human Resources | Other | Male | Human Resources | Divorced | Y | No |
| 1281 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | Yes |
| 1282 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 1283 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 1284 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Single | Y | No |
| 1285 | Non-Travel | Sales | Life Sciences | Male | Sales Executive | Single | Y | No |
| 1286 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Married | Y | No |
| 1287 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Married | Y | No |
| 1288 | Non-Travel | Research & Development | Medical | Male | Manufacturing Director | Divorced | Y | No |
| 1289 | Non-Travel | Human Resources | Human Resources | Male | Human Resources | Divorced | Y | No |
| 1290 | Travel_Frequently | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 1291 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Single | Y | No |
| 1292 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Divorced | Y | No |
| 1293 | Non-Travel | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 1294 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Single | Y | No |
| 1295 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Divorced | Y | Yes |
| 1296 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Single | Y | No |
| 1297 | Travel_Rarely | Human Resources | Medical | Female | Human Resources | Married | Y | Yes |
| 1298 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Married | Y | No |
| 1299 | Travel_Rarely | Research & Development | Life Sciences | Female | Healthcare Representative | Divorced | Y | No |
| 1300 | Travel_Rarely | Sales | Technical Degree | Male | Sales Executive | Married | Y | No |
| 1301 | Non-Travel | Sales | Medical | Male | Manager | Divorced | Y | No |
| 1302 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 1303 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Divorced | Y | Yes |
| 1304 | Travel_Rarely | Research & Development | Life Sciences | Female | Healthcare Representative | Divorced | Y | No |
| 1305 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | No |
| 1306 | Travel_Frequently | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 1307 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | No |
| 1308 | Travel_Rarely | Sales | Marketing | Female | Sales Representative | Married | Y | Yes |
| 1309 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Single | Y | No |
| 1310 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Director | Married | Y | Yes |
| 1311 | Non-Travel | Research & Development | Medical | Female | Research Scientist | Single | Y | No |
| 1312 | Travel_Rarely | Human Resources | Human Resources | Male | Human Resources | Married | Y | No |
| 1313 | Travel_Rarely | Human Resources | Human Resources | Male | Human Resources | Divorced | Y | Yes |
| 1314 | Non-Travel | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 1315 | Travel_Rarely | Research & Development | Other | Female | Research Scientist | Married | Y | Yes |
| 1316 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 1317 | Travel_Frequently | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | Yes |
| 1318 | Travel_Frequently | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 1319 | Travel_Frequently | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 1320 | Non-Travel | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | No |
| 1321 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | No |
| 1322 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Divorced | Y | No |
| 1323 | Non-Travel | Human Resources | Life Sciences | Male | Human Resources | Divorced | Y | No |
| 1324 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 1325 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 1326 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | Yes |
| 1327 | Travel_Rarely | Sales | Technical Degree | Female | Sales Executive | Divorced | Y | No |
| 1328 | Travel_Rarely | Sales | Medical | Female | Sales Representative | Married | Y | No |
| 1329 | Travel_Rarely | Human Resources | Medical | Male | Human Resources | Married | Y | No |
| 1330 | Travel_Rarely | Research & Development | Medical | Female | Manager | Married | Y | No |
| 1331 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Director | Married | Y | No |
| 1332 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | Yes |
| 1333 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 1334 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | No |
| 1335 | Travel_Rarely | Research & Development | Other | Male | Research Scientist | Divorced | Y | No |
| 1336 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | No |
| 1337 | Travel_Rarely | Sales | Medical | Female | Sales Representative | Married | Y | No |
| 1338 | Travel_Rarely | Sales | Medical | Male | Sales Representative | Single | Y | No |
| 1339 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | Yes |
| 1340 | Travel_Rarely | Sales | Technical Degree | Female | Sales Executive | Married | Y | Yes |
| 1341 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Divorced | Y | No |
| 1342 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | Yes |
| 1343 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 1344 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | Yes |
| 1345 | Travel_Rarely | Research & Development | Other | Female | Manufacturing Director | Married | Y | Yes |
| 1346 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 1347 | Travel_Frequently | Human Resources | Human Resources | Male | Human Resources | Single | Y | No |
| 1348 | Travel_Rarely | Research & Development | Life Sciences | Male | Manager | Divorced | Y | No |
| 1349 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | Yes |
| 1350 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Single | Y | No |
| 1351 | Travel_Frequently | Research & Development | Medical | Female | Manager | Divorced | Y | No |
| 1352 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | No |
| 1353 | Non-Travel | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | Yes |
| 1354 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Single | Y | No |
| 1355 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Married | Y | No |
| 1356 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 1357 | Travel_Rarely | Research & Development | Medical | Male | Research Director | Married | Y | No |
| 1358 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Divorced | Y | Yes |
| 1359 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Married | Y | Yes |
| 1360 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Divorced | Y | No |
| 1361 | Travel_Frequently | Research & Development | Other | Male | Laboratory Technician | Married | Y | No |
| 1362 | Travel_Frequently | Research & Development | Medical | Male | Healthcare Representative | Single | Y | No |
| 1363 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 1364 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Married | Y | Yes |
| 1365 | Travel_Frequently | Sales | Technical Degree | Male | Sales Representative | Single | Y | No |
| 1366 | Non-Travel | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 1367 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | No |
| 1368 | Travel_Frequently | Research & Development | Other | Male | Research Scientist | Married | Y | Yes |
| 1369 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Single | Y | Yes |
| 1370 | Non-Travel | Research & Development | Technical Degree | Male | Research Scientist | Married | Y | No |
| 1371 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 1372 | Travel_Rarely | Research & Development | Medical | Male | Manufacturing Director | Married | Y | No |
| 1373 | Travel_Frequently | Research & Development | Medical | Female | Research Scientist | Divorced | Y | Yes |
| 1374 | Travel_Rarely | Sales | Life Sciences | Female | Manager | Married | Y | Yes |
| 1375 | Travel_Frequently | Research & Development | Life Sciences | Female | Research Scientist | Single | Y | Yes |
| 1376 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | No |
| 1377 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Director | Married | Y | No |
| 1378 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | Yes |
| 1379 | Travel_Frequently | Human Resources | Human Resources | Female | Human Resources | Married | Y | No |
| 1380 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Married | Y | No |
| 1381 | Non-Travel | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 1382 | Non-Travel | Research & Development | Medical | Male | Research Scientist | Divorced | Y | Yes |
| 1383 | Non-Travel | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 1384 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 1385 | Travel_Rarely | Sales | Medical | Male | Sales Executive | Divorced | Y | No |
| 1386 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Single | Y | No |
| 1387 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | No |
| 1388 | Non-Travel | Research & Development | Medical | Female | Healthcare Representative | Divorced | Y | No |
| 1389 | Travel_Frequently | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 1390 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Divorced | Y | No |
| 1391 | Travel_Rarely | Sales | Life Sciences | Male | Sales Representative | Single | Y | No |
| 1392 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | Yes |
| 1393 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 1394 | Travel_Rarely | Research & Development | Life Sciences | Male | Manufacturing Director | Single | Y | No |
| 1395 | Travel_Frequently | Sales | Marketing | Male | Sales Executive | Married | Y | Yes |
| 1396 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Single | Y | Yes |
| 1397 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | No |
| 1398 | Travel_Frequently | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 1399 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | No |
| 1400 | Travel_Frequently | Human Resources | Other | Male | Human Resources | Married | Y | Yes |
| 1401 | Travel_Rarely | Human Resources | Human Resources | Male | Manager | Married | Y | Yes |
| 1402 | Travel_Rarely | Research & Development | Medical | Female | Laboratory Technician | Divorced | Y | Yes |
| 1403 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Single | Y | No |
| 1404 | Non-Travel | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 1405 | Non-Travel | Research & Development | Medical | Female | Research Director | Married | Y | No |
| 1406 | Travel_Rarely | Research & Development | Medical | Female | Manufacturing Director | Single | Y | Yes |
| 1407 | Travel_Rarely | Research & Development | Life Sciences | Male | Healthcare Representative | Single | Y | No |
| 1408 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Single | Y | No |
| 1409 | Travel_Frequently | Research & Development | Technical Degree | Female | Laboratory Technician | Married | Y | No |
| 1410 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 1411 | Travel_Rarely | Human Resources | Human Resources | Female | Human Resources | Married | Y | No |
| 1412 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | No |
| 1413 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Divorced | Y | Yes |
| 1414 | Travel_Rarely | Research & Development | Medical | Male | Healthcare Representative | Single | Y | No |
| 1415 | Non-Travel | Research & Development | Medical | Male | Laboratory Technician | Divorced | Y | No |
| 1416 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Married | Y | No |
| 1417 | Travel_Rarely | Sales | Life Sciences | Male | Sales Representative | Married | Y | No |
| 1418 | Travel_Frequently | Research & Development | Life Sciences | Male | Manufacturing Director | Married | Y | No |
| 1419 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Divorced | Y | Yes |
| 1420 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Married | Y | No |
| 1421 | Non-Travel | Research & Development | Medical | Female | Research Director | Married | Y | No |
| 1422 | Travel_Rarely | Research & Development | Medical | Male | Laboratory Technician | Married | Y | Yes |
| 1423 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 1424 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | No |
| 1425 | Travel_Rarely | Research & Development | Medical | Female | Healthcare Representative | Married | Y | Yes |
| 1426 | Travel_Rarely | Research & Development | Life Sciences | Female | Laboratory Technician | Single | Y | No |
| 1427 | Travel_Rarely | Research & Development | Life Sciences | Male | Laboratory Technician | Married | Y | No |
| 1428 | Travel_Rarely | Sales | Medical | Male | Sales Representative | Married | Y | No |
| 1429 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 1430 | Travel_Rarely | Research & Development | Medical | Female | Research Director | Married | Y | No |
| 1431 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 1432 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Director | Married | Y | Yes |
| 1433 | Travel_Rarely | Sales | Other | Female | Sales Executive | Divorced | Y | Yes |
| 1434 | Non-Travel | Sales | Life Sciences | Male | Sales Representative | Divorced | Y | No |
| 1435 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Single | Y | Yes |
| 1436 | Travel_Rarely | Sales | Medical | Male | Sales Representative | Single | Y | Yes |
| 1437 | Non-Travel | Research & Development | Life Sciences | Male | Manager | Single | Y | No |
| 1438 | Travel_Frequently | Sales | Marketing | Male | Sales Representative | Married | Y | No |
| 1439 | Travel_Rarely | Sales | Medical | Female | Sales Executive | Married | Y | No |
| 1440 | Travel_Frequently | Research & Development | Life Sciences | Female | Manufacturing Director | Divorced | Y | No |
| 1441 | Non-Travel | Research & Development | Life Sciences | Male | Healthcare Representative | Divorced | Y | No |
| 1442 | Travel_Rarely | Research & Development | Medical | Male | Research Scientist | Married | Y | Yes |
| 1443 | Travel_Rarely | Research & Development | Life Sciences | Male | Manager | Married | Y | No |
| 1444 | Travel_Rarely | Research & Development | Technical Degree | Male | Laboratory Technician | Married | Y | No |
| 1445 | Travel_Rarely | Research & Development | Life Sciences | Female | Manufacturing Director | Married | Y | No |
| 1446 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 1447 | Non-Travel | Sales | Marketing | Male | Sales Executive | Divorced | Y | No |
| 1448 | Travel_Rarely | Sales | Life Sciences | Male | Sales Executive | Divorced | Y | No |
| 1449 | Travel_Rarely | Research & Development | Technical Degree | Male | Research Scientist | Single | Y | No |
| 1450 | Travel_Rarely | Human Resources | Life Sciences | Female | Human Resources | Single | Y | Yes |
| 1451 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Married | Y | No |
| 1452 | Travel_Frequently | Sales | Life Sciences | Male | Sales Executive | Divorced | Y | No |
| 1453 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
| 1454 | Travel_Rarely | Sales | Life Sciences | Female | Sales Executive | Single | Y | No |
| 1455 | Travel_Rarely | Research & Development | Life Sciences | Male | Research Scientist | Single | Y | No |
| 1456 | Travel_Frequently | Research & Development | Life Sciences | Male | Healthcare Representative | Married | Y | Yes |
| 1457 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Married | Y | No |
| 1458 | Travel_Rarely | Research & Development | Life Sciences | Female | Research Scientist | Married | Y | No |
| 1459 | Travel_Rarely | Research & Development | Other | Male | Laboratory Technician | Married | Y | Yes |
| 1460 | Travel_Rarely | Research & Development | Medical | Female | Research Scientist | Single | Y | No |
| 1461 | Travel_Rarely | Sales | Marketing | Male | Sales Executive | Divorced | Y | Yes |
| 1462 | Travel_Rarely | Sales | Marketing | Female | Sales Executive | Married | Y | No |
for i in B[cat]:
for j in B[cat]:
a = pd.crosstab(B[i], B[j])
print(a)
print("===================||===================||===================||===================")
BusinessTravel Non-Travel Travel_Frequently Travel_Rarely BusinessTravel Non-Travel 150 0 0 Travel_Frequently 0 277 0 Travel_Rarely 0 0 1043 ===================||===================||===================||=================== Department Human Resources Research & Development Sales BusinessTravel Non-Travel 6 97 47 Travel_Frequently 11 182 84 Travel_Rarely 46 682 315 ===================||===================||===================||=================== EducationField Human Resources Life Sciences Marketing Medical Other \ BusinessTravel Non-Travel 4 63 12 50 7 Travel_Frequently 6 123 27 86 14 Travel_Rarely 17 420 120 328 61 EducationField Technical Degree BusinessTravel Non-Travel 14 Travel_Frequently 21 Travel_Rarely 97 ===================||===================||===================||=================== Gender Female Male BusinessTravel Non-Travel 49 101 Travel_Frequently 117 160 Travel_Rarely 422 621 ===================||===================||===================||=================== JobRole Healthcare Representative Human Resources \ BusinessTravel Non-Travel 15 4 Travel_Frequently 26 10 Travel_Rarely 90 38 JobRole Laboratory Technician Manager Manufacturing Director \ BusinessTravel Non-Travel 28 12 13 Travel_Frequently 51 13 29 Travel_Rarely 180 77 103 JobRole Research Director Research Scientist Sales Executive \ BusinessTravel Non-Travel 6 28 39 Travel_Frequently 12 54 59 Travel_Rarely 62 210 228 JobRole Sales Representative BusinessTravel Non-Travel 5 Travel_Frequently 23 Travel_Rarely 55 ===================||===================||===================||=================== MaritalStatus Divorced Married Single BusinessTravel Non-Travel 44 59 47 Travel_Frequently 63 118 96 Travel_Rarely 220 496 327 ===================||===================||===================||=================== Over18 Y BusinessTravel Non-Travel 150 Travel_Frequently 277 Travel_Rarely 1043 ===================||===================||===================||=================== OverTime No Yes BusinessTravel Non-Travel 115 35 Travel_Frequently 191 86 Travel_Rarely 748 295 ===================||===================||===================||=================== BusinessTravel Non-Travel Travel_Frequently Travel_Rarely Department Human Resources 6 11 46 Research & Development 97 182 682 Sales 47 84 315 ===================||===================||===================||=================== Department Human Resources Research & Development Sales Department Human Resources 63 0 0 Research & Development 0 961 0 Sales 0 0 446 ===================||===================||===================||=================== EducationField Human Resources Life Sciences Marketing Medical \ Department Human Resources 27 16 0 13 Research & Development 0 440 0 363 Sales 0 150 159 88 EducationField Other Technical Degree Department Human Resources 3 4 Research & Development 64 94 Sales 15 34 ===================||===================||===================||=================== Gender Female Male Department Human Resources 20 43 Research & Development 379 582 Sales 189 257 ===================||===================||===================||=================== JobRole Healthcare Representative Human Resources \ Department Human Resources 0 52 Research & Development 131 0 Sales 0 0 JobRole Laboratory Technician Manager \ Department Human Resources 0 11 Research & Development 259 54 Sales 0 37 JobRole Manufacturing Director Research Director \ Department Human Resources 0 0 Research & Development 145 80 Sales 0 0 JobRole Research Scientist Sales Executive \ Department Human Resources 0 0 Research & Development 292 0 Sales 0 326 JobRole Sales Representative Department Human Resources 0 Research & Development 0 Sales 83 ===================||===================||===================||=================== MaritalStatus Divorced Married Single Department Human Resources 16 34 13 Research & Development 224 433 304 Sales 87 206 153 ===================||===================||===================||=================== Over18 Y Department Human Resources 63 Research & Development 961 Sales 446 ===================||===================||===================||=================== OverTime No Yes Department Human Resources 46 17 Research & Development 690 271 Sales 318 128 ===================||===================||===================||=================== BusinessTravel Non-Travel Travel_Frequently Travel_Rarely EducationField Human Resources 4 6 17 Life Sciences 63 123 420 Marketing 12 27 120 Medical 50 86 328 Other 7 14 61 Technical Degree 14 21 97 ===================||===================||===================||=================== Department Human Resources Research & Development Sales EducationField Human Resources 27 0 0 Life Sciences 16 440 150 Marketing 0 0 159 Medical 13 363 88 Other 3 64 15 Technical Degree 4 94 34 ===================||===================||===================||=================== EducationField Human Resources Life Sciences Marketing Medical Other \ EducationField Human Resources 27 0 0 0 0 Life Sciences 0 606 0 0 0 Marketing 0 0 159 0 0 Medical 0 0 0 464 0 Other 0 0 0 0 82 Technical Degree 0 0 0 0 0 EducationField Technical Degree EducationField Human Resources 0 Life Sciences 0 Marketing 0 Medical 0 Other 0 Technical Degree 132 ===================||===================||===================||=================== Gender Female Male EducationField Human Resources 8 19 Life Sciences 240 366 Marketing 69 90 Medical 190 274 Other 29 53 Technical Degree 52 80 ===================||===================||===================||=================== JobRole Healthcare Representative Human Resources \ EducationField Human Resources 0 21 Life Sciences 60 13 Marketing 0 0 Medical 48 11 Other 9 3 Technical Degree 14 4 JobRole Laboratory Technician Manager Manufacturing Director \ EducationField Human Resources 0 6 0 Life Sciences 119 40 71 Marketing 0 14 0 Medical 99 32 53 Other 22 5 7 Technical Degree 19 5 14 JobRole Research Director Research Scientist Sales Executive \ EducationField Human Resources 0 0 0 Life Sciences 36 133 107 Marketing 0 0 122 Medical 35 103 65 Other 4 17 13 Technical Degree 5 39 19 JobRole Sales Representative EducationField Human Resources 0 Life Sciences 27 Marketing 23 Medical 18 Other 2 Technical Degree 13 ===================||===================||===================||=================== MaritalStatus Divorced Married Single EducationField Human Resources 7 18 2 Life Sciences 134 271 201 Marketing 34 77 48 Medical 107 210 147 Other 19 36 27 Technical Degree 26 61 45 ===================||===================||===================||=================== Over18 Y EducationField Human Resources 27 Life Sciences 606 Marketing 159 Medical 464 Other 82 Technical Degree 132 ===================||===================||===================||=================== OverTime No Yes EducationField Human Resources 19 8 Life Sciences 439 167 Marketing 111 48 Medical 332 132 Other 55 27 Technical Degree 98 34 ===================||===================||===================||=================== BusinessTravel Non-Travel Travel_Frequently Travel_Rarely Gender Female 49 117 422 Male 101 160 621 ===================||===================||===================||=================== Department Human Resources Research & Development Sales Gender Female 20 379 189 Male 43 582 257 ===================||===================||===================||=================== EducationField Human Resources Life Sciences Marketing Medical Other \ Gender Female 8 240 69 190 29 Male 19 366 90 274 53 EducationField Technical Degree Gender Female 52 Male 80 ===================||===================||===================||=================== Gender Female Male Gender Female 588 0 Male 0 882 ===================||===================||===================||=================== JobRole Healthcare Representative Human Resources Laboratory Technician \ Gender Female 51 16 85 Male 80 36 174 JobRole Manager Manufacturing Director Research Director \ Gender Female 47 72 33 Male 55 73 47 JobRole Research Scientist Sales Executive Sales Representative Gender Female 114 132 38 Male 178 194 45 ===================||===================||===================||=================== MaritalStatus Divorced Married Single Gender Female 117 272 199 Male 210 401 271 ===================||===================||===================||=================== Over18 Y Gender Female 588 Male 882 ===================||===================||===================||=================== OverTime No Yes Gender Female 408 180 Male 646 236 ===================||===================||===================||=================== BusinessTravel Non-Travel Travel_Frequently Travel_Rarely JobRole Healthcare Representative 15 26 90 Human Resources 4 10 38 Laboratory Technician 28 51 180 Manager 12 13 77 Manufacturing Director 13 29 103 Research Director 6 12 62 Research Scientist 28 54 210 Sales Executive 39 59 228 Sales Representative 5 23 55 ===================||===================||===================||=================== Department Human Resources Research & Development Sales JobRole Healthcare Representative 0 131 0 Human Resources 52 0 0 Laboratory Technician 0 259 0 Manager 11 54 37 Manufacturing Director 0 145 0 Research Director 0 80 0 Research Scientist 0 292 0 Sales Executive 0 0 326 Sales Representative 0 0 83 ===================||===================||===================||=================== EducationField Human Resources Life Sciences Marketing Medical \ JobRole Healthcare Representative 0 60 0 48 Human Resources 21 13 0 11 Laboratory Technician 0 119 0 99 Manager 6 40 14 32 Manufacturing Director 0 71 0 53 Research Director 0 36 0 35 Research Scientist 0 133 0 103 Sales Executive 0 107 122 65 Sales Representative 0 27 23 18 EducationField Other Technical Degree JobRole Healthcare Representative 9 14 Human Resources 3 4 Laboratory Technician 22 19 Manager 5 5 Manufacturing Director 7 14 Research Director 4 5 Research Scientist 17 39 Sales Executive 13 19 Sales Representative 2 13 ===================||===================||===================||=================== Gender Female Male JobRole Healthcare Representative 51 80 Human Resources 16 36 Laboratory Technician 85 174 Manager 47 55 Manufacturing Director 72 73 Research Director 33 47 Research Scientist 114 178 Sales Executive 132 194 Sales Representative 38 45 ===================||===================||===================||=================== JobRole Healthcare Representative Human Resources \ JobRole Healthcare Representative 131 0 Human Resources 0 52 Laboratory Technician 0 0 Manager 0 0 Manufacturing Director 0 0 Research Director 0 0 Research Scientist 0 0 Sales Executive 0 0 Sales Representative 0 0 JobRole Laboratory Technician Manager \ JobRole Healthcare Representative 0 0 Human Resources 0 0 Laboratory Technician 259 0 Manager 0 102 Manufacturing Director 0 0 Research Director 0 0 Research Scientist 0 0 Sales Executive 0 0 Sales Representative 0 0 JobRole Manufacturing Director Research Director \ JobRole Healthcare Representative 0 0 Human Resources 0 0 Laboratory Technician 0 0 Manager 0 0 Manufacturing Director 145 0 Research Director 0 80 Research Scientist 0 0 Sales Executive 0 0 Sales Representative 0 0 JobRole Research Scientist Sales Executive \ JobRole Healthcare Representative 0 0 Human Resources 0 0 Laboratory Technician 0 0 Manager 0 0 Manufacturing Director 0 0 Research Director 0 0 Research Scientist 292 0 Sales Executive 0 326 Sales Representative 0 0 JobRole Sales Representative JobRole Healthcare Representative 0 Human Resources 0 Laboratory Technician 0 Manager 0 Manufacturing Director 0 Research Director 0 Research Scientist 0 Sales Executive 0 Sales Representative 83 ===================||===================||===================||=================== MaritalStatus Divorced Married Single JobRole Healthcare Representative 34 61 36 Human Resources 14 28 10 Laboratory Technician 55 116 88 Manager 23 56 23 Manufacturing Director 36 67 42 Research Director 23 38 19 Research Scientist 62 122 108 Sales Executive 69 151 106 Sales Representative 11 34 38 ===================||===================||===================||=================== Over18 Y JobRole Healthcare Representative 131 Human Resources 52 Laboratory Technician 259 Manager 102 Manufacturing Director 145 Research Director 80 Research Scientist 292 Sales Executive 326 Sales Representative 83 ===================||===================||===================||=================== OverTime No Yes JobRole Healthcare Representative 94 37 Human Resources 39 13 Laboratory Technician 197 62 Manager 75 27 Manufacturing Director 106 39 Research Director 57 23 Research Scientist 195 97 Sales Executive 232 94 Sales Representative 59 24 ===================||===================||===================||=================== BusinessTravel Non-Travel Travel_Frequently Travel_Rarely MaritalStatus Divorced 44 63 220 Married 59 118 496 Single 47 96 327 ===================||===================||===================||=================== Department Human Resources Research & Development Sales MaritalStatus Divorced 16 224 87 Married 34 433 206 Single 13 304 153 ===================||===================||===================||=================== EducationField Human Resources Life Sciences Marketing Medical Other \ MaritalStatus Divorced 7 134 34 107 19 Married 18 271 77 210 36 Single 2 201 48 147 27 EducationField Technical Degree MaritalStatus Divorced 26 Married 61 Single 45 ===================||===================||===================||=================== Gender Female Male MaritalStatus Divorced 117 210 Married 272 401 Single 199 271 ===================||===================||===================||=================== JobRole Healthcare Representative Human Resources \ MaritalStatus Divorced 34 14 Married 61 28 Single 36 10 JobRole Laboratory Technician Manager Manufacturing Director \ MaritalStatus Divorced 55 23 36 Married 116 56 67 Single 88 23 42 JobRole Research Director Research Scientist Sales Executive \ MaritalStatus Divorced 23 62 69 Married 38 122 151 Single 19 108 106 JobRole Sales Representative MaritalStatus Divorced 11 Married 34 Single 38 ===================||===================||===================||=================== MaritalStatus Divorced Married Single MaritalStatus Divorced 327 0 0 Married 0 673 0 Single 0 0 470 ===================||===================||===================||=================== Over18 Y MaritalStatus Divorced 327 Married 673 Single 470 ===================||===================||===================||=================== OverTime No Yes MaritalStatus Divorced 228 99 Married 487 186 Single 339 131 ===================||===================||===================||=================== BusinessTravel Non-Travel Travel_Frequently Travel_Rarely Over18 Y 150 277 1043 ===================||===================||===================||=================== Department Human Resources Research & Development Sales Over18 Y 63 961 446 ===================||===================||===================||=================== EducationField Human Resources Life Sciences Marketing Medical Other \ Over18 Y 27 606 159 464 82 EducationField Technical Degree Over18 Y 132 ===================||===================||===================||=================== Gender Female Male Over18 Y 588 882 ===================||===================||===================||=================== JobRole Healthcare Representative Human Resources Laboratory Technician \ Over18 Y 131 52 259 JobRole Manager Manufacturing Director Research Director \ Over18 Y 102 145 80 JobRole Research Scientist Sales Executive Sales Representative Over18 Y 292 326 83 ===================||===================||===================||=================== MaritalStatus Divorced Married Single Over18 Y 327 673 470 ===================||===================||===================||=================== Over18 Y Over18 Y 1470 ===================||===================||===================||=================== OverTime No Yes Over18 Y 1054 416 ===================||===================||===================||=================== BusinessTravel Non-Travel Travel_Frequently Travel_Rarely OverTime No 115 191 748 Yes 35 86 295 ===================||===================||===================||=================== Department Human Resources Research & Development Sales OverTime No 46 690 318 Yes 17 271 128 ===================||===================||===================||=================== EducationField Human Resources Life Sciences Marketing Medical Other \ OverTime No 19 439 111 332 55 Yes 8 167 48 132 27 EducationField Technical Degree OverTime No 98 Yes 34 ===================||===================||===================||=================== Gender Female Male OverTime No 408 646 Yes 180 236 ===================||===================||===================||=================== JobRole Healthcare Representative Human Resources Laboratory Technician \ OverTime No 94 39 197 Yes 37 13 62 JobRole Manager Manufacturing Director Research Director \ OverTime No 75 106 57 Yes 27 39 23 JobRole Research Scientist Sales Executive Sales Representative OverTime No 195 232 59 Yes 97 94 24 ===================||===================||===================||=================== MaritalStatus Divorced Married Single OverTime No 228 487 339 Yes 99 186 131 ===================||===================||===================||=================== Over18 Y OverTime No 1054 Yes 416 ===================||===================||===================||=================== OverTime No Yes OverTime No 1054 0 Yes 0 416 ===================||===================||===================||===================
B.columns
Index(['Attrition', 'Age', 'BusinessTravel', 'DailyRate', 'Department',
'DistanceFromHome', 'Education', 'EducationField', 'EmployeeCount',
'EmployeeNumber', 'EnvironmentSatisfaction', 'Gender', 'HourlyRate',
'JobInvolvement', 'JobLevel', 'JobRole', 'JobSatisfaction',
'MaritalStatus', 'MonthlyIncome', 'MonthlyRate', 'NumCompaniesWorked',
'Over18', 'OverTime', 'PercentSalaryHike', 'PerformanceRating',
'RelationshipSatisfaction', 'StandardHours', 'StockOptionLevel',
'TotalWorkingYears', 'TrainingTimesLastYear', 'WorkLifeBalance',
'YearsAtCompany', 'YearsInCurrentRole', 'YearsSinceLastPromotion',
'YearsWithCurrManager'],
dtype='object')
from warnings import filterwarnings
filterwarnings("ignore")
Bivariate(B, "Attrition", (40, 40), 7,5)
plt.figure(figsize=(20,20))
sns.heatmap(A.corr(), annot = True, cmap="YlGnBu")
<matplotlib.axes._subplots.AxesSubplot at 0x7f1d8ae47950>
X = B.drop(['Over18', "Attrition", "StandardHours",'EmployeeCount','EmployeeNumber'], axis = 1)
Y = B[["Attrition"]]
X = preprocessing(X)
from sklearn.model_selection import train_test_split
xtrain, xtest,ytrain, ytest = train_test_split(X, Y,test_size=0.2, random_state=40)
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import AdaBoostClassifier
dtr = DecisionTreeClassifier(random_state=20,max_depth=2)
abr = AdaBoostClassifier(dtr)
tp = {"n_estimators": range(40)}
from sklearn.model_selection import GridSearchCV
cv = GridSearchCV(abr,tp, scoring="accuracy", cv = 5)
cvmodel = cv.fit(xtrain,ytrain)
bestval =cvmodel.best_params_
bestval
{'n_estimators': 17}
dtr = DecisionTreeClassifier(random_state=20,max_depth=2)
abr = AdaBoostClassifier(dtr, random_state=20, n_estimators=bestval['n_estimators'])
modelr = abr.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import accuracy_score
print("train Acc ====>", round(accuracy_score(predtr, ytrain),20))
print("test Acc ====>", round(accuracy_score(predts, ytest),20))
train Acc ====> 0.9090136054421769 test Acc ====> 0.8639455782312924
from sklearn.tree import DecisionTreeClassifier
dtr = DecisionTreeClassifier(random_state=20)
tp = {"max_depth": range(20)}
from sklearn.model_selection import GridSearchCV
cv = GridSearchCV(dtr,tp, scoring="accuracy", cv = 5)
cvmodel = cv.fit(xtrain,ytrain)
bestval =cvmodel.best_params_
bestval
{'max_depth': 5}
dtr = DecisionTreeClassifier(random_state=20,max_depth=bestval["max_depth"])
model = dtr.fit(xtrain,ytrain)
predtr = model.predict(xtrain)
predts = model.predict(xtest)
from sklearn.metrics import accuracy_score
print("train Acc ====>", round(accuracy_score(predtr, ytrain),20))
print("test Acc ====>", round(accuracy_score(predts, ytest),20))
train Acc ====> 0.8937074829931972 test Acc ====> 0.8231292517006803
from sklearn.ensemble import RandomForestClassifier
rfc = RandomForestClassifier()
tp = {"n_estimators": range(40)}
from sklearn.model_selection import GridSearchCV
cv = GridSearchCV(rfc,tp, scoring="accuracy", cv = 5)
cvmodel = cv.fit(xtrain,ytrain)
bestval =cvmodel.best_params_
bestval
{'n_estimators': 28}
rfc = RandomForestClassifier(random_state=20,n_estimators=bestval['n_estimators'])
modelr = rfc.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import accuracy_score
print("train Acc ====>", round(accuracy_score(predtr, ytrain),20))
print("test Acc ====>", round(accuracy_score(predts, ytest),20))
train Acc ====> 0.9974489795918368 test Acc ====> 0.8707482993197279
from keras.layers import Dense, Dropout
from keras.models import Sequential
!pip install keras_tuner
Collecting keras_tuner
Downloading keras_tuner-1.1.0-py3-none-any.whl (98 kB)
|████████████████████████████████| 98 kB 3.8 MB/s
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Collecting kt-legacy
Downloading kt_legacy-1.0.4-py3-none-any.whl (9.6 kB)
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Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard->keras_tuner) (3.1.1)
Installing collected packages: kt-legacy, keras-tuner
Successfully installed keras-tuner-1.1.0 kt-legacy-1.0.4
import keras_tuner as kt
def model_builder(hp):
nn = Sequential()
nn.add(Dense(1500,input_dim=xtrain.shape[1]))
x = hp.Int("units",min_value=20,max_value=1600,step=35)
nn.add(Dense(units=x))
y = hp.Choice("rate",values=[0.1,0.2,0.3,0.4,0.5,0.6,0.7])
nn.add(Dropout(rate=y))
nn.add(Dense(1,activation="sigmoid"))
nn.compile(loss="binary_crossentropy",metrics="accuracy")
return nn
import keras_tuner as kt
tuner = kt.Hyperband(model_builder,
objective="val_accuracy",
max_epochs=10,
directory="/content/drive/MyDrive/python/Attrition_Project/AtriionNN4",
project_name="Keras_TN")
tuner.search(xtrain,ytrain,epochs=500, validation_split=0.2)
Trial 30 Complete [00h 00m 04s] val_accuracy: 0.8601694703102112 Best val_accuracy So Far: 0.8728813529014587 Total elapsed time: 00h 02m 22s INFO:tensorflow:Oracle triggered exit
tuner.get_best_hyperparameters()[0].get("units")
195
tuner.get_best_hyperparameters()[0].get("rate")
0.1
from keras.callbacks import EarlyStopping
es = EarlyStopping(patience=25, monitor="val_accuracy")
nn = Sequential()
# nn.add(Dense(650,input_dim=xtrain.shape[1]))
# nn.add(Dense(650, activation="relu"))
# nn.add(Dropout(0.4))
# nn.add(Dense(650, activation="relu"))
# nn.add(Dropout(0.4))
# nn.add(Dense(650, activation="relu"))
# nn.add(Dropout(0.4))
# nn.add(Dense(650, activation="relu"))
nn.add(Dense(195,input_dim=xtrain.shape[1]))
nn.add(Dense(195, activation="relu"))
nn.add(Dropout(0.1))
nn.add(Dense(195, activation="relu"))
nn.add(Dropout(0.1))
nn.add(Dense(195, activation="relu"))
nn.add(Dropout(0.1))
nn.add(Dense(195, activation="relu"))
nn.add(Dense(1,activation="sigmoid"))
nn.compile(optimizer="Adam", loss="binary_crossentropy",metrics="accuracy")
model = nn.fit(xtrain,ytrain,epochs = 100, batch_size=50, validation_split = 0.2)
Epoch 1/100 19/19 [==============================] - 2s 46ms/step - loss: 0.4338 - accuracy: 0.8394 - val_loss: 0.4337 - val_accuracy: 0.8136 Epoch 2/100 19/19 [==============================] - 0s 15ms/step - loss: 0.3304 - accuracy: 0.8511 - val_loss: 0.4253 - val_accuracy: 0.8644 Epoch 3/100 19/19 [==============================] - 0s 15ms/step - loss: 0.2987 - accuracy: 0.8862 - val_loss: 0.4642 - val_accuracy: 0.8559 Epoch 4/100 19/19 [==============================] - 0s 13ms/step - loss: 0.2339 - accuracy: 0.9074 - val_loss: 0.4894 - val_accuracy: 0.8644 Epoch 5/100 19/19 [==============================] - 0s 11ms/step - loss: 0.1976 - accuracy: 0.9277 - val_loss: 0.6329 - val_accuracy: 0.8305 Epoch 6/100 19/19 [==============================] - 0s 15ms/step - loss: 0.1614 - accuracy: 0.9415 - val_loss: 0.6817 - val_accuracy: 0.8390 Epoch 7/100 19/19 [==============================] - 0s 13ms/step - loss: 0.1371 - accuracy: 0.9489 - val_loss: 0.7506 - val_accuracy: 0.8517 Epoch 8/100 19/19 [==============================] - 0s 14ms/step - loss: 0.1166 - accuracy: 0.9553 - val_loss: 0.7291 - val_accuracy: 0.8263 Epoch 9/100 19/19 [==============================] - 0s 13ms/step - loss: 0.0776 - accuracy: 0.9681 - val_loss: 0.8918 - val_accuracy: 0.8178 Epoch 10/100 19/19 [==============================] - 0s 15ms/step - loss: 0.0694 - accuracy: 0.9777 - val_loss: 1.0318 - val_accuracy: 0.8220 Epoch 11/100 19/19 [==============================] - 0s 16ms/step - loss: 0.0832 - accuracy: 0.9691 - val_loss: 0.8690 - val_accuracy: 0.8093 Epoch 12/100 19/19 [==============================] - 0s 12ms/step - loss: 0.0796 - accuracy: 0.9691 - val_loss: 0.9552 - val_accuracy: 0.8517 Epoch 13/100 19/19 [==============================] - 0s 14ms/step - loss: 0.0665 - accuracy: 0.9809 - val_loss: 0.9430 - val_accuracy: 0.8305 Epoch 14/100 19/19 [==============================] - 0s 15ms/step - loss: 0.0368 - accuracy: 0.9862 - val_loss: 1.0330 - val_accuracy: 0.8432 Epoch 15/100 19/19 [==============================] - 0s 15ms/step - loss: 0.0343 - accuracy: 0.9883 - val_loss: 1.1524 - val_accuracy: 0.8305 Epoch 16/100 19/19 [==============================] - 0s 15ms/step - loss: 0.0276 - accuracy: 0.9915 - val_loss: 1.1347 - val_accuracy: 0.8390 Epoch 17/100 19/19 [==============================] - 0s 16ms/step - loss: 0.0460 - accuracy: 0.9862 - val_loss: 1.1966 - val_accuracy: 0.8347 Epoch 18/100 19/19 [==============================] - 0s 19ms/step - loss: 0.0268 - accuracy: 0.9904 - val_loss: 1.3333 - val_accuracy: 0.8432 Epoch 19/100 19/19 [==============================] - 0s 12ms/step - loss: 0.0521 - accuracy: 0.9840 - val_loss: 1.1655 - val_accuracy: 0.8305 Epoch 20/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0292 - accuracy: 0.9915 - val_loss: 1.1946 - val_accuracy: 0.8093 Epoch 21/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0193 - accuracy: 0.9926 - val_loss: 1.4223 - val_accuracy: 0.8347 Epoch 22/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0248 - accuracy: 0.9926 - val_loss: 1.5058 - val_accuracy: 0.8263 Epoch 23/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0075 - accuracy: 0.9989 - val_loss: 1.6694 - val_accuracy: 0.8432 Epoch 24/100 19/19 [==============================] - 0s 9ms/step - loss: 0.0061 - accuracy: 0.9979 - val_loss: 1.6052 - val_accuracy: 0.8347 Epoch 25/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0038 - accuracy: 1.0000 - val_loss: 1.7649 - val_accuracy: 0.8432 Epoch 26/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0023 - accuracy: 1.0000 - val_loss: 1.8633 - val_accuracy: 0.8347 Epoch 27/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0111 - accuracy: 0.9947 - val_loss: 1.8337 - val_accuracy: 0.8178 Epoch 28/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0117 - accuracy: 0.9947 - val_loss: 1.6892 - val_accuracy: 0.8136 Epoch 29/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0326 - accuracy: 0.9894 - val_loss: 1.8067 - val_accuracy: 0.8390 Epoch 30/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0504 - accuracy: 0.9851 - val_loss: 1.6620 - val_accuracy: 0.8475 Epoch 31/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0620 - accuracy: 0.9809 - val_loss: 1.1326 - val_accuracy: 0.8390 Epoch 32/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0282 - accuracy: 0.9926 - val_loss: 1.3409 - val_accuracy: 0.8390 Epoch 33/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0162 - accuracy: 0.9968 - val_loss: 1.2650 - val_accuracy: 0.8136 Epoch 34/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0112 - accuracy: 0.9957 - val_loss: 1.4435 - val_accuracy: 0.8263 Epoch 35/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0117 - accuracy: 0.9968 - val_loss: 1.5952 - val_accuracy: 0.8432 Epoch 36/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0096 - accuracy: 0.9979 - val_loss: 1.6732 - val_accuracy: 0.8390 Epoch 37/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0311 - accuracy: 0.9915 - val_loss: 1.5917 - val_accuracy: 0.8008 Epoch 38/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0294 - accuracy: 0.9894 - val_loss: 1.5910 - val_accuracy: 0.7881 Epoch 39/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0157 - accuracy: 0.9947 - val_loss: 1.4121 - val_accuracy: 0.8263 Epoch 40/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0123 - accuracy: 0.9957 - val_loss: 1.4682 - val_accuracy: 0.8347 Epoch 41/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0104 - accuracy: 0.9968 - val_loss: 1.5037 - val_accuracy: 0.8263 Epoch 42/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0025 - accuracy: 1.0000 - val_loss: 1.5853 - val_accuracy: 0.8305 Epoch 43/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0034 - accuracy: 0.9989 - val_loss: 1.7850 - val_accuracy: 0.8305 Epoch 44/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0088 - accuracy: 0.9968 - val_loss: 1.7381 - val_accuracy: 0.8220 Epoch 45/100 19/19 [==============================] - 0s 9ms/step - loss: 0.0175 - accuracy: 0.9968 - val_loss: 1.5321 - val_accuracy: 0.8263 Epoch 46/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0103 - accuracy: 0.9968 - val_loss: 1.5762 - val_accuracy: 0.8136 Epoch 47/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0042 - accuracy: 1.0000 - val_loss: 1.6906 - val_accuracy: 0.8305 Epoch 48/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0080 - accuracy: 0.9989 - val_loss: 1.6896 - val_accuracy: 0.8432 Epoch 49/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0037 - accuracy: 0.9989 - val_loss: 1.6530 - val_accuracy: 0.8263 Epoch 50/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0048 - accuracy: 0.9989 - val_loss: 1.7360 - val_accuracy: 0.8390 Epoch 51/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0028 - accuracy: 0.9989 - val_loss: 1.5915 - val_accuracy: 0.8347 Epoch 52/100 19/19 [==============================] - 0s 9ms/step - loss: 0.0076 - accuracy: 0.9989 - val_loss: 1.8529 - val_accuracy: 0.8220 Epoch 53/100 19/19 [==============================] - 0s 7ms/step - loss: 8.7168e-04 - accuracy: 1.0000 - val_loss: 1.8189 - val_accuracy: 0.8263 Epoch 54/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0020 - accuracy: 1.0000 - val_loss: 1.9814 - val_accuracy: 0.8220 Epoch 55/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0038 - accuracy: 0.9989 - val_loss: 1.9304 - val_accuracy: 0.8220 Epoch 56/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0169 - accuracy: 0.9968 - val_loss: 1.9218 - val_accuracy: 0.8093 Epoch 57/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0055 - accuracy: 0.9979 - val_loss: 1.7886 - val_accuracy: 0.8093 Epoch 58/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0046 - accuracy: 0.9989 - val_loss: 1.9047 - val_accuracy: 0.8347 Epoch 59/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0017 - accuracy: 1.0000 - val_loss: 2.0025 - val_accuracy: 0.8178 Epoch 60/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0036 - accuracy: 0.9989 - val_loss: 1.9175 - val_accuracy: 0.8220 Epoch 61/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0142 - accuracy: 0.9957 - val_loss: 1.8620 - val_accuracy: 0.8432 Epoch 62/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0100 - accuracy: 0.9968 - val_loss: 1.9138 - val_accuracy: 0.8432 Epoch 63/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0071 - accuracy: 0.9968 - val_loss: 1.8130 - val_accuracy: 0.8347 Epoch 64/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0173 - accuracy: 0.9957 - val_loss: 1.6294 - val_accuracy: 0.8263 Epoch 65/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0202 - accuracy: 0.9894 - val_loss: 1.6872 - val_accuracy: 0.7966 Epoch 66/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0287 - accuracy: 0.9915 - val_loss: 1.6303 - val_accuracy: 0.8220 Epoch 67/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0156 - accuracy: 0.9926 - val_loss: 1.6928 - val_accuracy: 0.8178 Epoch 68/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0126 - accuracy: 0.9979 - val_loss: 1.6377 - val_accuracy: 0.8093 Epoch 69/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0053 - accuracy: 0.9979 - val_loss: 1.7017 - val_accuracy: 0.8220 Epoch 70/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0153 - accuracy: 0.9957 - val_loss: 1.7496 - val_accuracy: 0.8136 Epoch 71/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0121 - accuracy: 0.9979 - val_loss: 1.7515 - val_accuracy: 0.8178 Epoch 72/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0182 - accuracy: 0.9936 - val_loss: 1.8580 - val_accuracy: 0.8263 Epoch 73/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0081 - accuracy: 0.9979 - val_loss: 1.7471 - val_accuracy: 0.8305 Epoch 74/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0078 - accuracy: 0.9979 - val_loss: 1.7487 - val_accuracy: 0.8178 Epoch 75/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0051 - accuracy: 0.9989 - val_loss: 1.7671 - val_accuracy: 0.8136 Epoch 76/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0053 - accuracy: 0.9989 - val_loss: 1.8310 - val_accuracy: 0.7966 Epoch 77/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0114 - accuracy: 0.9979 - val_loss: 1.9723 - val_accuracy: 0.8178 Epoch 78/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0138 - accuracy: 0.9957 - val_loss: 1.6880 - val_accuracy: 0.8136 Epoch 79/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0062 - accuracy: 0.9968 - val_loss: 1.6508 - val_accuracy: 0.8347 Epoch 80/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0165 - accuracy: 0.9947 - val_loss: 1.6002 - val_accuracy: 0.8051 Epoch 81/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0108 - accuracy: 0.9957 - val_loss: 1.9660 - val_accuracy: 0.8517 Epoch 82/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0161 - accuracy: 0.9957 - val_loss: 1.6241 - val_accuracy: 0.8475 Epoch 83/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0111 - accuracy: 0.9957 - val_loss: 1.5538 - val_accuracy: 0.8475 Epoch 84/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0071 - accuracy: 0.9979 - val_loss: 1.5194 - val_accuracy: 0.8305 Epoch 85/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0025 - accuracy: 1.0000 - val_loss: 1.7342 - val_accuracy: 0.8390 Epoch 86/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0069 - accuracy: 0.9968 - val_loss: 1.7994 - val_accuracy: 0.8136 Epoch 87/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0031 - accuracy: 0.9989 - val_loss: 2.0103 - val_accuracy: 0.8347 Epoch 88/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0044 - accuracy: 0.9989 - val_loss: 1.9661 - val_accuracy: 0.8136 Epoch 89/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0091 - accuracy: 0.9979 - val_loss: 1.9325 - val_accuracy: 0.8347 Epoch 90/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0156 - accuracy: 0.9947 - val_loss: 1.7740 - val_accuracy: 0.8347 Epoch 91/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0094 - accuracy: 0.9979 - val_loss: 1.6758 - val_accuracy: 0.8390 Epoch 92/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0063 - accuracy: 0.9979 - val_loss: 1.7296 - val_accuracy: 0.8347 Epoch 93/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0031 - accuracy: 0.9989 - val_loss: 1.7447 - val_accuracy: 0.8220 Epoch 94/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0030 - accuracy: 0.9989 - val_loss: 1.9674 - val_accuracy: 0.8475 Epoch 95/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0030 - accuracy: 0.9989 - val_loss: 1.9257 - val_accuracy: 0.8390 Epoch 96/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0049 - accuracy: 0.9979 - val_loss: 2.0655 - val_accuracy: 0.8305 Epoch 97/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0191 - accuracy: 0.9957 - val_loss: 1.6315 - val_accuracy: 0.8347 Epoch 98/100 19/19 [==============================] - 0s 8ms/step - loss: 0.0045 - accuracy: 0.9989 - val_loss: 1.8130 - val_accuracy: 0.8390 Epoch 99/100 19/19 [==============================] - 0s 7ms/step - loss: 0.0021 - accuracy: 1.0000 - val_loss: 1.9108 - val_accuracy: 0.8475 Epoch 100/100 19/19 [==============================] - 0s 7ms/step - loss: 3.6949e-04 - accuracy: 1.0000 - val_loss: 2.0301 - val_accuracy: 0.8475
Prediction = (nn.predict(xtest)>0.5).astype("int32")
Prediction
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from sklearn.metrics import accuracy_score
Predictiontr = (nn.predict(xtrain)>0.5).astype("int32")
print(accuracy_score(ytest,Prediction ))
print(accuracy_score(ytrain,Predictiontr ))
0.8605442176870748 0.9693877551020408
from xgboost import XGBClassifier
xbc = XGBClassifier(n_estimators=2000, learning_rate=0.01, random_state=400)
modelr = xbc.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import accuracy_score
print("train Acc ====>", round(accuracy_score(predtr, ytrain),20))
print("test Acc ====>", round(accuracy_score(predts, ytest),20))
train Acc ====> 0.9778911564625851 test Acc ====> 0.8605442176870748
from sklearn.naive_bayes import GaussianNB
gnb = GaussianNB()
modelr = gnb.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import accuracy_score
print("train Acc ====>", round(accuracy_score(predtr, ytrain),20))
print("test Acc ====>", round(accuracy_score(predts, ytest),20))
train Acc ====> 0.6879251700680272 test Acc ====> 0.6836734693877551
from sklearn.linear_model import LogisticRegression
lgr = LogisticRegression()
modelr = lgr.fit(xtrain,ytrain)
predtr = modelr.predict(xtrain)
predts = modelr.predict(xtest)
from sklearn.metrics import accuracy_score
print("train Acc ====>", round(accuracy_score(predtr, ytrain),20))
print("test Acc ====>", round(accuracy_score(predts, ytest),20))
train Acc ====> 0.8920068027210885 test Acc ====> 0.8979591836734694
B.columns
Index(['Attrition', 'Age', 'BusinessTravel', 'DailyRate', 'Department',
'DistanceFromHome', 'Education', 'EducationField', 'EmployeeCount',
'EmployeeNumber', 'EnvironmentSatisfaction', 'Gender', 'HourlyRate',
'JobInvolvement', 'JobLevel', 'JobRole', 'JobSatisfaction',
'MaritalStatus', 'MonthlyIncome', 'MonthlyRate', 'NumCompaniesWorked',
'Over18', 'OverTime', 'PercentSalaryHike', 'PerformanceRating',
'RelationshipSatisfaction', 'StandardHours', 'StockOptionLevel',
'TotalWorkingYears', 'TrainingTimesLastYear', 'WorkLifeBalance',
'YearsAtCompany', 'YearsInCurrentRole', 'YearsSinceLastPromotion',
'YearsWithCurrManager'],
dtype='object')
C = X[["MonthlyIncome", "HourlyRate"]]
C
| MonthlyIncome | HourlyRate | |
|---|---|---|
| 0 | -0.108350 | 1.383138 |
| 1 | -0.291719 | -0.240677 |
| 2 | -0.937654 | 1.284725 |
| 3 | -0.763634 | -0.486709 |
| 4 | -0.644858 | -1.274014 |
| 5 | -0.729850 | 0.645041 |
| 6 | -0.814416 | 0.743454 |
| 7 | -0.809529 | 0.054562 |
| 8 | 0.642338 | -1.077188 |
| 9 | -0.268983 | 1.383138 |
| 10 | -0.866261 | 0.891073 |
| 11 | -0.490811 | -0.831155 |
| 12 | -0.763209 | -1.716872 |
| 13 | -0.816328 | 1.333932 |
| 14 | -0.950827 | -0.781948 |
| 15 | 0.738803 | -0.732742 |
| 16 | -0.680979 | 0.694247 |
| 17 | -0.758109 | 1.481551 |
| 18 | 1.896174 | 0.595834 |
| 19 | -0.543718 | -1.027981 |
| 20 | -0.529482 | 1.481551 |
| 21 | -0.657819 | 0.792660 |
| 22 | 1.166735 | -0.634329 |
| 23 | -1.119960 | 1.481551 |
| 24 | -0.752797 | 0.841867 |
| 25 | 2.675333 | -0.388296 |
| 26 | -0.549030 | 0.300595 |
| 27 | 0.068433 | -0.880361 |
| 28 | 0.795747 | -1.175601 |
| 29 | 2.644099 | 0.841867 |
| 30 | -0.851387 | 0.595834 |
| 31 | -0.008060 | -1.224807 |
| 32 | -0.913006 | 0.841867 |
| 33 | -0.938504 | -0.486709 |
| 34 | -0.894521 | -0.240677 |
| 35 | -0.819728 | 0.300595 |
| 36 | -0.811654 | 0.989486 |
| 37 | -0.953802 | 1.530758 |
| 38 | -0.655270 | 0.792660 |
| 39 | -0.239449 | -1.175601 |
| 40 | -0.967188 | 0.448214 |
| 41 | -0.884322 | -1.618459 |
| 42 | -0.894521 | -0.880361 |
| 43 | 0.472355 | -1.421633 |
| 44 | -0.529482 | -0.388296 |
| 45 | 2.771161 | -0.831155 |
| 46 | -0.411132 | 0.300595 |
| 47 | -0.739624 | 0.349801 |
| 48 | -0.155307 | 1.579964 |
| 49 | -0.899620 | -1.470840 |
| 50 | -0.238386 | 1.579964 |
| 51 | -0.650595 | -0.781948 |
| 52 | -0.222876 | 0.448214 |
| 53 | 0.718405 | 0.645041 |
| 54 | -0.498460 | -0.929568 |
| 55 | 1.477804 | 1.579964 |
| 56 | 0.545235 | 0.251388 |
| 57 | -0.528845 | -1.766079 |
| 58 | -0.124923 | -0.880361 |
| 59 | -0.108350 | -0.732742 |
| 60 | -0.072441 | -1.618459 |
| 61 | -0.870510 | -0.781948 |
| 62 | 2.600116 | -1.126394 |
| 63 | 0.240965 | 1.629171 |
| 64 | 0.763450 | -0.339090 |
| 65 | 1.753601 | -1.618459 |
| 66 | -0.000835 | 1.432345 |
| 67 | 0.684408 | -0.339090 |
| 68 | -0.915556 | 0.645041 |
| 69 | -0.661856 | 0.645041 |
| 70 | -0.218838 | -0.437503 |
| 71 | -0.807404 | 0.497421 |
| 72 | -0.850325 | 1.038693 |
| 73 | -0.060117 | 0.005356 |
| 74 | -0.736224 | -0.535916 |
| 75 | -0.441729 | -0.240677 |
| 76 | -0.465526 | -1.667666 |
| 77 | 1.432546 | -0.683535 |
| 78 | 1.521574 | -1.766079 |
| 79 | -0.314879 | 0.694247 |
| 80 | -0.292569 | -0.535916 |
| 81 | -0.774258 | -1.766079 |
| 82 | 0.793835 | 0.202182 |
| 83 | -0.249435 | 0.645041 |
| 84 | -0.462764 | 1.383138 |
| 85 | 0.160861 | -0.831155 |
| 86 | -0.888359 | -0.191470 |
| 87 | -0.940841 | 1.481551 |
| 88 | -0.499523 | 1.629171 |
| 89 | 0.662098 | -0.093057 |
| 90 | 1.487365 | 0.595834 |
| 91 | -0.225638 | 0.251388 |
| 92 | -0.274933 | -0.142264 |
| 93 | 0.886051 | -1.274014 |
| 94 | -0.317216 | 1.038693 |
| 95 | 1.497139 | -0.289883 |
| 96 | -0.319553 | -1.618459 |
| 97 | -0.484862 | -1.126394 |
| 98 | 1.565770 | -1.421633 |
| 99 | -0.947853 | 0.054562 |
| 100 | -0.941266 | -0.142264 |
| 101 | -0.753647 | 0.251388 |
| 102 | -0.760022 | 0.005356 |
| 103 | -0.359924 | -1.224807 |
| 104 | -0.284707 | 1.678377 |
| 105 | 2.622214 | -1.667666 |
| 106 | 2.479428 | 0.349801 |
| 107 | -0.161257 | -0.978775 |
| 108 | -0.767883 | -0.093057 |
| 109 | -0.771708 | -0.339090 |
| 110 | 0.208456 | -1.766079 |
| 111 | -0.091139 | 0.005356 |
| 112 | 2.300096 | -1.766079 |
| 113 | -0.792318 | -0.683535 |
| 114 | -0.424518 | -1.027981 |
| 115 | 0.196557 | 1.038693 |
| 116 | 1.089605 | -1.027981 |
| 117 | 0.687383 | 1.284725 |
| 118 | -0.779357 | -1.323220 |
| 119 | 2.221691 | 1.284725 |
| 120 | -0.826527 | 1.481551 |
| 121 | -0.075840 | 1.432345 |
| 122 | -0.327203 | 0.300595 |
| 123 | 2.769461 | -0.732742 |
| 124 | -0.070316 | 0.497421 |
| 125 | -0.878585 | -0.978775 |
| 126 | 0.809346 | 1.383138 |
| 127 | -1.025832 | -0.781948 |
| 128 | -0.845650 | 1.678377 |
| 129 | 0.013613 | 1.481551 |
| 130 | -0.374798 | 0.300595 |
| 131 | 0.574769 | 0.546627 |
| 132 | -0.413044 | 0.251388 |
| 133 | 0.358254 | 1.481551 |
| 134 | -0.756622 | -0.240677 |
| 135 | -0.331877 | 0.891073 |
| 136 | 0.881164 | -0.634329 |
| 137 | -0.127685 | -0.929568 |
| 138 | 0.453869 | -1.224807 |
| 139 | -0.033132 | -0.880361 |
| 140 | -0.489324 | -1.224807 |
| 141 | -0.648258 | 0.841867 |
| 142 | -0.464464 | -1.667666 |
| 143 | -0.822490 | 0.448214 |
| 144 | -0.389884 | -1.520046 |
| 145 | -0.700952 | 0.891073 |
| 146 | -0.803792 | -1.520046 |
| 147 | 2.268862 | 1.235519 |
| 148 | -0.906207 | 1.383138 |
| 149 | -1.066628 | 0.645041 |
| 150 | -0.190791 | -0.585122 |
| 151 | 0.168298 | 1.383138 |
| 152 | -0.891758 | -1.569253 |
| 153 | -0.882834 | -0.289883 |
| 154 | 0.530149 | -1.126394 |
| 155 | -0.464039 | -1.224807 |
| 156 | -0.078815 | -1.569253 |
| 157 | -0.670781 | 0.448214 |
| 158 | 0.924722 | 0.054562 |
| 159 | -0.907694 | 0.448214 |
| 160 | -0.888146 | 0.694247 |
| 161 | -0.951677 | -0.437503 |
| 162 | -0.805279 | -1.175601 |
| 163 | 0.623852 | 0.841867 |
| 164 | -0.836514 | 0.645041 |
| 165 | 2.852116 | -0.634329 |
| 166 | -0.860949 | -0.486709 |
| 167 | 0.619602 | -1.224807 |
| 168 | 0.463855 | -0.339090 |
| 169 | -0.736224 | -1.126394 |
| 170 | -0.731974 | -0.732742 |
| 171 | -0.887721 | 1.678377 |
| 172 | -0.938079 | -1.766079 |
| 173 | -0.729000 | 0.005356 |
| 174 | -0.318066 | -1.766079 |
| 175 | -0.477212 | 0.054562 |
| 176 | -0.850537 | 1.186312 |
| 177 | -1.147583 | -0.929568 |
| 178 | 0.839305 | 1.284725 |
| 179 | -0.895583 | 0.448214 |
| 180 | -0.546905 | 1.432345 |
| 181 | -0.890696 | 1.432345 |
| 182 | -0.714551 | 0.202182 |
| 183 | -0.597688 | 0.989486 |
| 184 | -0.436204 | -0.437503 |
| 185 | -0.796143 | 0.300595 |
| 186 | 2.662372 | -0.978775 |
| 187 | 2.596291 | -0.240677 |
| 188 | 0.646800 | -1.027981 |
| 189 | 1.536448 | 1.579964 |
| 190 | 2.867626 | -0.043851 |
| 191 | -0.897495 | 1.629171 |
| 192 | -0.124710 | -0.781948 |
| 193 | -0.937866 | -1.421633 |
| 194 | 2.186207 | -0.043851 |
| 195 | -0.624460 | -0.043851 |
| 196 | -0.441516 | -1.421633 |
| 197 | -0.263034 | -1.470840 |
| 198 | 0.010639 | 1.087899 |
| 199 | -0.051405 | -0.585122 |
| 200 | -0.468501 | -0.289883 |
| 201 | 0.063971 | 1.284725 |
| 202 | -0.571128 | -1.126394 |
| 203 | -0.799330 | 1.629171 |
| 204 | 0.036136 | 0.202182 |
| 205 | 0.241390 | -1.520046 |
| 206 | -0.887084 | -0.289883 |
| 207 | -0.924268 | 0.349801 |
| 208 | -0.345688 | -0.142264 |
| 209 | 0.614715 | 1.530758 |
| 210 | 0.828044 | -1.667666 |
| 211 | 0.418810 | 1.087899 |
| 212 | 0.739015 | 1.186312 |
| 213 | 1.272124 | 0.743454 |
| 214 | -0.817178 | 1.087899 |
| 215 | 1.506063 | 0.448214 |
| 216 | 0.041023 | -0.683535 |
| 217 | -0.944453 | 0.940280 |
| 218 | 0.501889 | -0.437503 |
| 219 | -0.119611 | -0.683535 |
| 220 | -0.125135 | -0.191470 |
| 221 | -0.824615 | -0.929568 |
| 222 | 1.207318 | -0.929568 |
| 223 | 0.872452 | 0.497421 |
| 224 | -0.458514 | 1.186312 |
| 225 | -0.919168 | 0.202182 |
| 226 | -0.788281 | -1.224807 |
| 227 | 0.300672 | -1.175601 |
| 228 | 0.485741 | 1.284725 |
| 229 | -0.874123 | 0.989486 |
| 230 | -0.699253 | 1.137106 |
| 231 | 2.704655 | -0.388296 |
| 232 | -0.900045 | -0.683535 |
| 233 | 2.765212 | 0.103769 |
| 234 | -0.864136 | -0.388296 |
| 235 | 2.031523 | 0.694247 |
| 236 | -0.806554 | -1.323220 |
| 237 | 2.669809 | 0.645041 |
| 238 | -0.546480 | -0.486709 |
| 239 | -0.589189 | -0.191470 |
| 240 | -0.907482 | 1.481551 |
| 241 | -0.433017 | 1.678377 |
| 242 | -0.729000 | -1.470840 |
| 243 | -0.676517 | -0.191470 |
| 244 | 2.698281 | 0.202182 |
| 245 | 1.523911 | 0.349801 |
| 246 | -0.763209 | -0.142264 |
| 247 | -0.115999 | 0.891073 |
| 248 | -0.548818 | 0.841867 |
| 249 | -0.014646 | 0.546627 |
| 250 | 0.753251 | -0.240677 |
| 251 | 0.942357 | -0.093057 |
| 252 | -0.884534 | -0.289883 |
| 253 | 0.008939 | 0.792660 |
| 254 | 0.090955 | -1.027981 |
| 255 | -0.341014 | -0.191470 |
| 256 | -0.830777 | -0.486709 |
| 257 | 2.748001 | -0.831155 |
| 258 | -0.803155 | 1.481551 |
| 259 | -0.642521 | 0.251388 |
| 260 | -0.788069 | 1.678377 |
| 261 | -0.266434 | -1.323220 |
| 262 | -0.919381 | 0.891073 |
| 263 | 2.203206 | 0.448214 |
| 264 | -0.641246 | 0.645041 |
| 265 | 0.029974 | 0.595834 |
| 266 | -0.195678 | -0.093057 |
| 267 | -0.531819 | 0.940280 |
| 268 | 1.485878 | 0.645041 |
| 269 | -0.699678 | -0.929568 |
| 270 | 2.664922 | 0.743454 |
| 271 | 1.135925 | 1.087899 |
| 272 | -0.941903 | 1.383138 |
| 273 | -0.000198 | 1.579964 |
| 274 | -0.695428 | 1.678377 |
| 275 | 1.508613 | 0.694247 |
| 276 | 1.167160 | 0.251388 |
| 277 | -0.190791 | -1.077188 |
| 278 | -0.022508 | 0.891073 |
| 279 | 2.685957 | 1.481551 |
| 280 | 2.354491 | -1.027981 |
| 281 | -0.339101 | 1.629171 |
| 282 | -0.414106 | -1.077188 |
| 283 | -0.231162 | -1.421633 |
| 284 | -0.374373 | -0.289883 |
| 285 | -0.932342 | -1.175601 |
| 286 | -0.710089 | -1.126394 |
| 287 | -0.161044 | 0.792660 |
| 288 | -0.877522 | -1.027981 |
| 289 | -0.678430 | 0.005356 |
| 290 | 2.584180 | -1.520046 |
| 291 | -0.428767 | -1.766079 |
| 292 | -0.789131 | 0.891073 |
| 293 | -0.143408 | -0.880361 |
| 294 | -0.887509 | -0.634329 |
| 295 | 1.492040 | 0.546627 |
| 296 | -1.080014 | -0.585122 |
| 297 | 0.322345 | 1.481551 |
| 298 | -0.598113 | 0.743454 |
| 299 | -0.216926 | 0.891073 |
| 300 | 2.021112 | 1.087899 |
| 301 | -1.126760 | 0.152975 |
| 302 | -0.178892 | 0.103769 |
| 303 | 0.090531 | 1.678377 |
| 304 | 0.660823 | -0.880361 |
| 305 | -0.176130 | -0.929568 |
| 306 | -0.216501 | 1.235519 |
| 307 | 1.180971 | 0.743454 |
| 308 | -0.179105 | -1.667666 |
| 309 | -0.357374 | 0.989486 |
| 310 | -0.019746 | -0.191470 |
| 311 | -0.274720 | 1.530758 |
| 312 | -0.809104 | -1.667666 |
| 313 | 1.142087 | 0.399008 |
| 314 | 2.244852 | 1.629171 |
| 315 | -0.860099 | -1.618459 |
| 316 | 1.585318 | 1.186312 |
| 317 | -0.331877 | 0.940280 |
| 318 | -0.855212 | 0.940280 |
| 319 | -0.270896 | -0.043851 |
| 320 | -0.430255 | 0.399008 |
| 321 | 0.221842 | 0.349801 |
| 322 | -0.307654 | 0.399008 |
| 323 | -0.645708 | 0.891073 |
| 324 | -0.154670 | -0.093057 |
| 325 | 0.518463 | -0.880361 |
| 326 | 2.713155 | -0.585122 |
| 327 | -0.268771 | -1.224807 |
| 328 | -0.386909 | -0.978775 |
| 329 | 2.506625 | -1.175601 |
| 330 | -0.264734 | 0.792660 |
| 331 | -0.032707 | 0.349801 |
| 332 | -0.347176 | -1.716872 |
| 333 | 0.739865 | -1.126394 |
| 334 | -0.596200 | 0.448214 |
| 335 | 0.202719 | -0.437503 |
| 336 | -0.931492 | 0.546627 |
| 337 | -0.535432 | -1.766079 |
| 338 | -0.081790 | -1.766079 |
| 339 | -0.061392 | -0.486709 |
| 340 | -0.033132 | -0.240677 |
| 341 | 1.063895 | 1.284725 |
| 342 | 0.136001 | -1.323220 |
| 343 | 0.375039 | -1.323220 |
| 344 | 0.338281 | -0.191470 |
| 345 | -0.764696 | 0.841867 |
| 346 | -0.100063 | 1.432345 |
| 347 | -0.749398 | 1.629171 |
| 348 | 2.016225 | -1.077188 |
| 349 | -0.393921 | -0.240677 |
| 350 | -0.808892 | -0.683535 |
| 351 | -0.878160 | 0.448214 |
| 352 | 1.275099 | 1.235519 |
| 353 | -0.112387 | -0.732742 |
| 354 | -0.375435 | 0.940280 |
| 355 | -0.256447 | -0.437503 |
| 356 | 0.059084 | 1.579964 |
| 357 | -0.919805 | 1.629171 |
| 358 | 0.031886 | -1.027981 |
| 359 | 0.679096 | -0.880361 |
| 360 | 0.053559 | 1.087899 |
| 361 | -0.911519 | -0.978775 |
| 362 | -0.827165 | -1.323220 |
| 363 | -0.775957 | -1.569253 |
| 364 | -0.648258 | 1.579964 |
| 365 | -0.264521 | -1.766079 |
| 366 | 0.606004 | -0.486709 |
| 367 | 0.848442 | 1.678377 |
| 368 | -0.026120 | 0.103769 |
| 369 | -0.817178 | -1.175601 |
| 370 | -0.804642 | 1.186312 |
| 371 | -0.914069 | -0.585122 |
| 372 | 0.007876 | 1.530758 |
| 373 | -0.570916 | 0.792660 |
| 374 | -0.265584 | 1.284725 |
| 375 | 0.948094 | -1.716872 |
| 376 | -0.332939 | 1.038693 |
| 377 | -0.841401 | 1.481551 |
| 378 | -0.254747 | 0.054562 |
| 379 | 2.157948 | 1.530758 |
| 380 | -0.476575 | 0.546627 |
| 381 | -0.855637 | 0.300595 |
| 382 | -0.722625 | 0.349801 |
| 383 | -0.904932 | -1.126394 |
| 384 | 0.232254 | -0.240677 |
| 385 | -0.896220 | -1.274014 |
| 386 | -0.737074 | 1.432345 |
| 387 | -0.167419 | -0.978775 |
| 388 | -0.834389 | 1.432345 |
| 389 | -0.489961 | -0.831155 |
| 390 | 1.664360 | -0.339090 |
| 391 | -0.649108 | 0.595834 |
| 392 | 2.741627 | 0.989486 |
| 393 | 0.007451 | 0.300595 |
| 394 | -0.466801 | -1.716872 |
| 395 | -0.901957 | -0.240677 |
| 396 | -0.420906 | 0.399008 |
| 397 | -0.428342 | 1.629171 |
| 398 | -0.436417 | 0.300595 |
| 399 | -0.910456 | 1.579964 |
| 400 | 2.697219 | -0.683535 |
| 401 | 1.425534 | 0.989486 |
| 402 | 0.015738 | 0.841867 |
| 403 | 0.401387 | -0.831155 |
| 404 | -0.413256 | 0.645041 |
| 405 | -0.525233 | 1.235519 |
| 406 | 0.311508 | -1.323220 |
| 407 | -0.817816 | 0.152975 |
| 408 | 2.135850 | -1.766079 |
| 409 | -0.413681 | 1.284725 |
| 410 | -0.087527 | -1.126394 |
| 411 | 2.775623 | -1.224807 |
| 412 | -0.359712 | 1.038693 |
| 413 | -0.420693 | 1.087899 |
| 414 | -0.701377 | -0.191470 |
| 415 | -0.882197 | -1.618459 |
| 416 | -1.020095 | -1.175601 |
| 417 | 2.451593 | 0.645041 |
| 418 | -0.768521 | 1.186312 |
| 419 | -0.936166 | -0.634329 |
| 420 | 1.154199 | 1.333932 |
| 421 | -0.840763 | 0.251388 |
| 422 | -0.836939 | -0.683535 |
| 423 | 0.405636 | 0.152975 |
| 424 | 1.618040 | -0.486709 |
| 425 | 2.240177 | 1.087899 |
| 426 | -0.836939 | -0.831155 |
| 427 | 0.799572 | 0.694247 |
| 428 | -0.304467 | -0.043851 |
| 429 | 2.413347 | -0.732742 |
| 430 | -0.482949 | -0.978775 |
| 431 | -0.578565 | -1.175601 |
| 432 | -0.793593 | -0.191470 |
| 433 | 0.545660 | 1.383138 |
| 434 | 0.880739 | -1.618459 |
| 435 | 1.510100 | -0.486709 |
| 436 | -0.657607 | -1.372427 |
| 437 | -0.747910 | -0.437503 |
| 438 | 0.239903 | 0.300595 |
| 439 | 0.705656 | 0.005356 |
| 440 | 0.732429 | -1.126394 |
| 441 | -0.937016 | 1.530758 |
| 442 | 0.738803 | -1.667666 |
| 443 | -0.554342 | 1.629171 |
| 444 | -0.520983 | -1.421633 |
| 445 | 2.195344 | 0.841867 |
| 446 | -0.057992 | -0.486709 |
| 447 | -0.379472 | 0.940280 |
| 448 | 1.430846 | 0.448214 |
| 449 | -0.583877 | -0.880361 |
| 450 | 0.016800 | 0.546627 |
| 451 | 0.191883 | -0.486709 |
| 452 | -0.360774 | -0.240677 |
| 453 | -0.799330 | -0.388296 |
| 454 | -0.476150 | -1.569253 |
| 455 | 2.057020 | 1.432345 |
| 456 | 1.073882 | -1.077188 |
| 457 | -0.982699 | 0.152975 |
| 458 | 0.941083 | -0.388296 |
| 459 | 0.065458 | -0.191470 |
| 460 | -0.466801 | -1.027981 |
| 461 | -0.349300 | 0.694247 |
| 462 | -0.247736 | 0.399008 |
| 463 | -0.884534 | 0.005356 |
| 464 | 0.209944 | -0.339090 |
| 465 | 0.855029 | 0.989486 |
| 466 | 2.144349 | 1.235519 |
| 467 | 0.495302 | 0.152975 |
| 468 | -0.196741 | 0.595834 |
| 469 | -0.381597 | -0.289883 |
| 470 | -0.871785 | -1.372427 |
| 471 | 0.705656 | 0.497421 |
| 472 | -0.011884 | -0.043851 |
| 473 | 2.762025 | -0.388296 |
| 474 | -0.802730 | 1.137106 |
| 475 | -0.049068 | 0.005356 |
| 476 | -0.929792 | 1.383138 |
| 477 | 2.485377 | 1.629171 |
| 478 | -0.936379 | -1.274014 |
| 479 | -0.768521 | -0.535916 |
| 480 | -0.949765 | 0.399008 |
| 481 | -0.612136 | 0.841867 |
| 482 | -0.482312 | -0.978775 |
| 483 | -0.599600 | -0.585122 |
| 484 | -0.221601 | 0.005356 |
| 485 | -0.917043 | 0.005356 |
| 486 | 0.658486 | 0.448214 |
| 487 | -0.779145 | 0.841867 |
| 488 | -0.512909 | 0.743454 |
| 489 | 2.151148 | -0.781948 |
| 490 | -0.825252 | -1.126394 |
| 491 | -0.175068 | 0.300595 |
| 492 | 1.890862 | -1.274014 |
| 493 | -0.110049 | -0.781948 |
| 494 | -0.833752 | -1.716872 |
| 495 | -0.735586 | 0.940280 |
| 496 | -0.649320 | -0.831155 |
| 497 | 2.764362 | -1.520046 |
| 498 | -0.792531 | 0.152975 |
| 499 | 0.127714 | -1.323220 |
| 500 | -0.038444 | 1.284725 |
| 501 | -0.939141 | 0.251388 |
| 502 | 0.399050 | -1.569253 |
| 503 | -0.809954 | -1.175601 |
| 504 | -0.471051 | 1.678377 |
| 505 | -0.816753 | 0.251388 |
| 506 | 0.622790 | -1.470840 |
| 507 | -0.200140 | -0.191470 |
| 508 | 0.030399 | 0.792660 |
| 509 | 0.259664 | -1.766079 |
| 510 | 0.897099 | 1.087899 |
| 511 | 0.498065 | -0.880361 |
| 512 | -0.947215 | -0.585122 |
| 513 | -1.167343 | -1.667666 |
| 514 | -0.670356 | 0.202182 |
| 515 | -1.109549 | -1.224807 |
| 516 | -0.782757 | -0.388296 |
| 517 | -0.351000 | -0.437503 |
| 518 | -0.525870 | -0.978775 |
| 519 | -0.803792 | 0.497421 |
| 520 | 0.343593 | -0.486709 |
| 521 | -0.394346 | 0.251388 |
| 522 | -0.387334 | 0.694247 |
| 523 | -0.697340 | 0.399008 |
| 524 | 0.450044 | -0.978775 |
| 525 | -0.409219 | -0.043851 |
| 526 | -0.414319 | 0.694247 |
| 527 | -0.235199 | -0.535916 |
| 528 | 0.062271 | -0.781948 |
| 529 | 0.238416 | -1.618459 |
| 530 | 0.193158 | 0.103769 |
| 531 | 0.989315 | -1.323220 |
| 532 | -0.327840 | -1.175601 |
| 533 | 0.843980 | -0.880361 |
| 534 | 1.765925 | -0.339090 |
| 535 | 2.685320 | 0.349801 |
| 536 | -0.233287 | 0.891073 |
| 537 | 0.486591 | -1.667666 |
| 538 | 2.695519 | -0.339090 |
| 539 | -0.558379 | -0.585122 |
| 540 | -0.910881 | 0.054562 |
| 541 | 1.107028 | -0.142264 |
| 542 | 0.288561 | 0.743454 |
| 543 | -0.593863 | -0.831155 |
| 544 | 1.544097 | -0.831155 |
| 545 | -0.254747 | 1.629171 |
| 546 | -0.820365 | 1.629171 |
| 547 | -0.795505 | -0.437503 |
| 548 | 0.063971 | -0.929568 |
| 549 | -0.076690 | 1.481551 |
| 550 | -0.850537 | -1.421633 |
| 551 | -0.024208 | -1.077188 |
| 552 | 0.977416 | 0.743454 |
| 553 | -0.884109 | 0.989486 |
| 554 | 0.065458 | -0.535916 |
| 555 | -0.893671 | 0.841867 |
| 556 | -0.861161 | 0.989486 |
| 557 | -0.299580 | -0.240677 |
| 558 | -0.253685 | 0.694247 |
| 559 | -0.732187 | 1.284725 |
| 560 | -0.293631 | -1.667666 |
| 561 | 2.199806 | -1.716872 |
| 562 | -0.811016 | -0.142264 |
| 563 | -0.068616 | -1.667666 |
| 564 | 0.027424 | -0.978775 |
| 565 | -0.636996 | 0.645041 |
| 566 | -0.022508 | 0.546627 |
| 567 | -0.048643 | -0.289883 |
| 568 | 2.837879 | 0.595834 |
| 569 | 0.230341 | 0.497421 |
| 570 | -0.477000 | -1.224807 |
| 571 | -0.454477 | 0.251388 |
| 572 | -0.460639 | 0.005356 |
| 573 | -0.250073 | -1.372427 |
| 574 | -0.684804 | 0.300595 |
| 575 | -0.216289 | 1.432345 |
| 576 | -0.459152 | 0.891073 |
| 577 | -0.790618 | 0.792660 |
| 578 | -0.111112 | 0.448214 |
| 579 | -0.450865 | 0.989486 |
| 580 | -0.835239 | 0.300595 |
| 581 | -0.567303 | -1.372427 |
| 582 | -0.479975 | -1.372427 |
| 583 | -0.000623 | 1.333932 |
| 584 | 2.534247 | 0.005356 |
| 585 | -1.041556 | -0.142264 |
| 586 | -0.809317 | -0.289883 |
| 587 | -0.712639 | 0.792660 |
| 588 | 2.366177 | -0.093057 |
| 589 | -0.888996 | -1.470840 |
| 590 | 1.102354 | -0.831155 |
| 591 | -0.250498 | 0.152975 |
| 592 | 2.177708 | -1.618459 |
| 593 | -0.270896 | -1.520046 |
| 594 | -0.808042 | 0.743454 |
| 595 | 2.707630 | -1.716872 |
| 596 | -0.849263 | -1.274014 |
| 597 | -0.093688 | -1.126394 |
| 598 | -0.450653 | -0.978775 |
| 599 | -0.926392 | -1.470840 |
| 600 | -0.072441 | 1.579964 |
| 601 | -0.299368 | -0.732742 |
| 602 | 0.079482 | -0.683535 |
| 603 | -0.898558 | 1.432345 |
| 604 | -0.439604 | 1.579964 |
| 605 | -0.045668 | -1.027981 |
| 606 | -0.839276 | 1.678377 |
| 607 | 0.244578 | -1.126394 |
| 608 | -0.285344 | -1.421633 |
| 609 | 2.264187 | 1.383138 |
| 610 | 1.339692 | -1.175601 |
| 611 | 0.790010 | -0.339090 |
| 612 | -0.366299 | 0.743454 |
| 613 | -0.587701 | 1.087899 |
| 614 | -0.879010 | 1.087899 |
| 615 | -1.019245 | -0.781948 |
| 616 | 2.083155 | 0.005356 |
| 617 | -0.121098 | -0.781948 |
| 618 | -0.654207 | -0.043851 |
| 619 | -0.523958 | -0.880361 |
| 620 | -0.838001 | -0.634329 |
| 621 | -0.064154 | -0.486709 |
| 622 | -0.446191 | 0.349801 |
| 623 | -0.582602 | 0.448214 |
| 624 | 0.941508 | 0.595834 |
| 625 | 0.904749 | 0.399008 |
| 626 | -0.282157 | 1.235519 |
| 627 | 1.555996 | 0.743454 |
| 628 | -0.035894 | 0.005356 |
| 629 | -0.332939 | -0.142264 |
| 630 | -0.367149 | -1.618459 |
| 631 | -0.782969 | -0.191470 |
| 632 | -0.847350 | -1.520046 |
| 633 | -0.884109 | 0.546627 |
| 634 | -0.490599 | 1.579964 |
| 635 | 0.888600 | 0.005356 |
| 636 | -0.952102 | 1.481551 |
| 637 | -0.890058 | -0.240677 |
| 638 | -0.477425 | 1.038693 |
| 639 | -0.621061 | -1.470840 |
| 640 | -0.709877 | -0.978775 |
| 641 | 0.004477 | -0.880361 |
| 642 | -0.765758 | 1.579964 |
| 643 | -0.270258 | 1.432345 |
| 644 | -0.881134 | -0.880361 |
| 645 | -0.786794 | -0.880361 |
| 646 | 1.133163 | 0.349801 |
| 647 | 0.934921 | 0.595834 |
| 648 | -0.750035 | -0.585122 |
| 649 | 1.651399 | 0.300595 |
| 650 | -0.199928 | -1.618459 |
| 651 | -0.417718 | -1.520046 |
| 652 | 0.242028 | -1.667666 |
| 653 | 2.426733 | 1.579964 |
| 654 | -0.275995 | -1.175601 |
| 655 | -0.897920 | -0.437503 |
| 656 | -0.787856 | 1.038693 |
| 657 | -0.843738 | -0.191470 |
| 658 | -0.838001 | -0.240677 |
| 659 | -0.338889 | 1.579964 |
| 660 | -0.876035 | -0.437503 |
| 661 | -0.369273 | -0.535916 |
| 662 | -0.947428 | -0.831155 |
| 663 | -0.809529 | -0.043851 |
| 664 | 0.017650 | 0.103769 |
| 665 | -0.681829 | -0.043851 |
| 666 | -0.495486 | -1.569253 |
| 667 | -0.791468 | -0.437503 |
| 668 | -0.876672 | 0.546627 |
| 669 | -0.870935 | 0.202182 |
| 670 | -0.889209 | 0.497421 |
| 671 | -0.955077 | 0.841867 |
| 672 | -0.055017 | 0.103769 |
| 673 | -0.787006 | 1.678377 |
| 674 | 0.860341 | -1.421633 |
| 675 | -0.886871 | -1.224807 |
| 676 | -0.528845 | -0.732742 |
| 677 | 0.191245 | -0.732742 |
| 678 | -0.901745 | -0.732742 |
| 679 | 0.091168 | -1.027981 |
| 680 | -0.387759 | -0.043851 |
| 681 | 1.504151 | 0.694247 |
| 682 | -0.886234 | 0.202182 |
| 683 | -0.869023 | -1.470840 |
| 684 | 0.680371 | 0.054562 |
| 685 | -0.469351 | -0.683535 |
| 686 | -0.378622 | -0.339090 |
| 687 | -0.846500 | 0.645041 |
| 688 | -0.931067 | -1.421633 |
| 689 | -0.750035 | 0.891073 |
| 690 | -0.137672 | -1.224807 |
| 691 | -0.613199 | -1.520046 |
| 692 | 0.047185 | 1.333932 |
| 693 | 0.812108 | -0.732742 |
| 694 | 0.094780 | -1.175601 |
| 695 | 0.872452 | -0.978775 |
| 696 | -0.436842 | -0.437503 |
| 697 | -0.923418 | 0.891073 |
| 698 | -0.404120 | 0.989486 |
| 699 | 2.251438 | 0.202182 |
| 700 | -0.854999 | -0.732742 |
| 701 | 1.773999 | -1.027981 |
| 702 | 0.161711 | -0.191470 |
| 703 | -0.177830 | 0.940280 |
| 704 | 0.280486 | 1.284725 |
| 705 | 0.292598 | -1.224807 |
| 706 | 1.421709 | 1.678377 |
| 707 | -0.305105 | -0.093057 |
| 708 | -0.302555 | 0.891073 |
| 709 | -0.888571 | -0.978775 |
| 710 | 2.324744 | -1.372427 |
| 711 | -0.870935 | 1.284725 |
| 712 | -0.648258 | -0.634329 |
| 713 | -0.899408 | 1.235519 |
| 714 | 2.315182 | 0.005356 |
| 715 | -0.215651 | 0.891073 |
| 716 | 2.744389 | -0.093057 |
| 717 | -0.784457 | -1.421633 |
| 718 | -0.609799 | -1.175601 |
| 719 | -0.497185 | 0.841867 |
| 720 | -0.928730 | -0.880361 |
| 721 | 1.587230 | 1.432345 |
| 722 | -0.811441 | 0.005356 |
| 723 | 0.922597 | 0.448214 |
| 724 | -0.451715 | -1.224807 |
| 725 | -0.586426 | -1.323220 |
| 726 | -0.500373 | 1.481551 |
| 727 | -1.158419 | 0.349801 |
| 728 | 0.900074 | -0.486709 |
| 729 | 0.825494 | -0.437503 |
| 730 | 1.043922 | 0.349801 |
| 731 | -0.829290 | 1.579964 |
| 732 | -0.867111 | -0.289883 |
| 733 | -0.219051 | -1.667666 |
| 734 | -0.860949 | 1.383138 |
| 735 | -0.480825 | 1.530758 |
| 736 | 0.955319 | 0.595834 |
| 737 | -0.318703 | -1.175601 |
| 738 | 1.325669 | -0.043851 |
| 739 | -0.483587 | -0.929568 |
| 740 | -0.549455 | -1.027981 |
| 741 | 2.507263 | 1.186312 |
| 742 | -0.876035 | -0.093057 |
| 743 | 1.534748 | 0.152975 |
| 744 | -0.366724 | -0.240677 |
| 745 | -0.025058 | -0.191470 |
| 746 | 2.862102 | -0.535916 |
| 747 | 0.076082 | -1.175601 |
| 748 | -0.325928 | 0.645041 |
| 749 | 2.834905 | -0.437503 |
| 750 | 1.448482 | -0.634329 |
| 751 | -0.033132 | 1.432345 |
| 752 | -0.798905 | -1.126394 |
| 753 | 0.930034 | 0.792660 |
| 754 | -0.884109 | 1.087899 |
| 755 | 2.368514 | 1.186312 |
| 756 | -0.526508 | 0.152975 |
| 757 | 0.684621 | 0.448214 |
| 758 | 1.147612 | 0.005356 |
| 759 | -0.919168 | -1.470840 |
| 760 | 0.217168 | -1.372427 |
| 761 | -0.354612 | 0.743454 |
| 762 | -0.947853 | -0.437503 |
| 763 | -0.910031 | 1.038693 |
| 764 | -1.158207 | 0.399008 |
| 765 | -0.782332 | -1.077188 |
| 766 | 2.705718 | -0.191470 |
| 767 | -0.509084 | -1.520046 |
| 768 | 0.402237 | 0.399008 |
| 769 | -0.955289 | 0.005356 |
| 770 | 2.788584 | -1.274014 |
| 771 | 0.888813 | -1.224807 |
| 772 | -0.756622 | -0.142264 |
| 773 | 0.500402 | -0.732742 |
| 774 | 2.178558 | -1.274014 |
| 775 | 0.912610 | 0.645041 |
| 776 | -0.888146 | -0.585122 |
| 777 | -1.080864 | -1.470840 |
| 778 | -0.401145 | 0.399008 |
| 779 | -0.858824 | -1.569253 |
| 780 | 0.471505 | 0.300595 |
| 781 | -0.541381 | -0.339090 |
| 782 | 0.733916 | 0.940280 |
| 783 | -0.664406 | -1.126394 |
| 784 | 0.492965 | -0.043851 |
| 785 | 0.811471 | -0.240677 |
| 786 | -0.399870 | 1.038693 |
| 787 | 0.950432 | -0.043851 |
| 788 | -0.604062 | -0.339090 |
| 789 | 0.845467 | 1.235519 |
| 790 | 0.130901 | -1.569253 |
| 791 | 0.654236 | 0.989486 |
| 792 | -0.423880 | -0.585122 |
| 793 | -0.912794 | -0.781948 |
| 794 | 0.266250 | -1.027981 |
| 795 | 0.040598 | 1.087899 |
| 796 | -0.597475 | -1.667666 |
| 797 | -0.876672 | -1.421633 |
| 798 | -0.890271 | -0.535916 |
| 799 | 2.371701 | -1.520046 |
| 800 | -0.830139 | -1.027981 |
| 801 | -0.377135 | 0.743454 |
| 802 | -0.467651 | -1.766079 |
| 803 | -0.748760 | -1.274014 |
| 804 | 2.205968 | -1.520046 |
| 805 | -0.193341 | -0.043851 |
| 806 | 0.837605 | 1.038693 |
| 807 | 0.475329 | 0.349801 |
| 808 | -0.847563 | 1.333932 |
| 809 | 0.244790 | 1.333932 |
| 810 | 2.329206 | -0.683535 |
| 811 | 0.180196 | -1.667666 |
| 812 | 0.917285 | 0.841867 |
| 813 | 1.203919 | 0.891073 |
| 814 | 2.788372 | -1.077188 |
| 815 | -0.941903 | 0.202182 |
| 816 | 0.059296 | 0.202182 |
| 817 | 0.271137 | 0.595834 |
| 818 | -0.788706 | 0.054562 |
| 819 | -0.701590 | 0.054562 |
| 820 | -0.326140 | -0.585122 |
| 821 | 1.405986 | -0.486709 |
| 822 | -0.524808 | 1.432345 |
| 823 | -0.682467 | -0.240677 |
| 824 | -0.474025 | -0.486709 |
| 825 | -0.307442 | 0.645041 |
| 826 | -0.777445 | -1.421633 |
| 827 | -0.807404 | -1.323220 |
| 828 | -0.977175 | 0.694247 |
| 829 | 0.365690 | 0.546627 |
| 830 | -0.369061 | -0.978775 |
| 831 | -0.827165 | 0.300595 |
| 832 | -0.164019 | -0.683535 |
| 833 | -0.842251 | -0.535916 |
| 834 | -0.167631 | 0.202182 |
| 835 | -0.463189 | 1.678377 |
| 836 | 0.177009 | -1.027981 |
| 837 | 1.486515 | 1.087899 |
| 838 | 1.541547 | -1.077188 |
| 839 | -0.286407 | -1.027981 |
| 840 | -0.901957 | -0.388296 |
| 841 | -0.617448 | -0.831155 |
| 842 | -0.847350 | 0.645041 |
| 843 | -0.442578 | 0.792660 |
| 844 | 0.015950 | 0.300595 |
| 845 | -0.442153 | 1.284725 |
| 846 | 0.801272 | -1.077188 |
| 847 | -0.246461 | 1.530758 |
| 848 | -0.876885 | -0.929568 |
| 849 | -0.245823 | 0.940280 |
| 850 | -0.781057 | 0.497421 |
| 851 | 2.855728 | 1.284725 |
| 852 | -0.716463 | -0.585122 |
| 853 | -0.839489 | -0.585122 |
| 854 | -0.430467 | 0.841867 |
| 855 | -0.006147 | -0.486709 |
| 856 | -0.737286 | 1.038693 |
| 857 | -0.757897 | 1.481551 |
| 858 | 2.571644 | -0.781948 |
| 859 | -0.921080 | 0.152975 |
| 860 | -0.775532 | -0.880361 |
| 861 | 2.240602 | 0.152975 |
| 862 | -0.895158 | 0.399008 |
| 863 | -0.616811 | 1.629171 |
| 864 | -0.934042 | 1.432345 |
| 865 | -0.507384 | -0.240677 |
| 866 | -0.462339 | -0.191470 |
| 867 | 2.412285 | -1.766079 |
| 868 | -0.702652 | 0.595834 |
| 869 | 2.672571 | -0.683535 |
| 870 | 0.523350 | 1.383138 |
| 871 | -0.912156 | 1.530758 |
| 872 | -0.417293 | 0.792660 |
| 873 | -0.799330 | -0.289883 |
| 874 | -0.639971 | -0.831155 |
| 875 | -0.416869 | -1.667666 |
| 876 | -0.812716 | -1.126394 |
| 877 | 0.186146 | -0.289883 |
| 878 | -0.049068 | 0.645041 |
| 879 | -0.272596 | -0.683535 |
| 880 | -0.798905 | 0.546627 |
| 881 | -0.319766 | -1.372427 |
| 882 | 0.796597 | 0.546627 |
| 883 | -0.790831 | -0.289883 |
| 884 | 0.074170 | 0.891073 |
| 885 | -0.329965 | -0.437503 |
| 886 | -0.621273 | -0.142264 |
| 887 | 1.421072 | -0.289883 |
| 888 | 0.823157 | 0.595834 |
| 889 | -0.906844 | -1.175601 |
| 890 | 0.849717 | -0.634329 |
| 891 | -0.954440 | 0.300595 |
| 892 | -0.986736 | 1.481551 |
| 893 | -0.582814 | 1.530758 |
| 894 | 2.395924 | 0.940280 |
| 895 | 0.070133 | 0.694247 |
| 896 | 0.065671 | 1.481551 |
| 897 | -0.283007 | -0.880361 |
| 898 | 2.812595 | 1.481551 |
| 899 | 2.593954 | 0.940280 |
| 900 | -0.597263 | -0.978775 |
| 901 | -0.838001 | 0.497421 |
| 902 | -0.846925 | 0.497421 |
| 903 | 0.025512 | 0.792660 |
| 904 | 2.499189 | 0.497421 |
| 905 | 2.044272 | 1.038693 |
| 906 | -0.832477 | 1.137106 |
| 907 | 2.488140 | 1.087899 |
| 908 | 0.398837 | 0.792660 |
| 909 | -0.745573 | -0.437503 |
| 910 | -1.121873 | -0.929568 |
| 911 | -1.144183 | 0.349801 |
| 912 | -0.770858 | -0.634329 |
| 913 | 2.617964 | 1.383138 |
| 914 | 1.503089 | -1.421633 |
| 915 | -0.823978 | -1.027981 |
| 916 | 2.610527 | -1.618459 |
| 917 | -0.417506 | 0.989486 |
| 918 | 2.835330 | 0.841867 |
| 919 | 0.851842 | 0.054562 |
| 920 | -0.437479 | -0.978775 |
| 921 | -0.924055 | -1.077188 |
| 922 | 2.695731 | 1.284725 |
| 923 | -0.427705 | -0.486709 |
| 924 | -0.636784 | 0.005356 |
| 925 | -0.877735 | 0.595834 |
| 926 | 0.792135 | -0.486709 |
| 927 | -0.232225 | -0.634329 |
| 928 | 0.313421 | 0.349801 |
| 929 | -0.560079 | -0.683535 |
| 930 | -0.778720 | -1.274014 |
| 931 | -0.384147 | 0.300595 |
| 932 | -0.672268 | -1.323220 |
| 933 | -0.939778 | 0.891073 |
| 934 | -0.936379 | -1.274014 |
| 935 | -0.062454 | -0.486709 |
| 936 | 2.455843 | 0.841867 |
| 937 | 2.256538 | 1.383138 |
| 938 | -0.877735 | 1.087899 |
| 939 | -0.344201 | 0.645041 |
| 940 | -0.552217 | 1.333932 |
| 941 | -0.398595 | -0.880361 |
| 942 | 0.125589 | -0.142264 |
| 943 | -0.654420 | -1.077188 |
| 944 | 0.036348 | -0.535916 |
| 945 | 2.204906 | -1.126394 |
| 946 | 0.550547 | -0.437503 |
| 947 | 0.412861 | -0.093057 |
| 948 | 1.150162 | 1.432345 |
| 949 | -0.418356 | -1.667666 |
| 950 | 0.711606 | -0.437503 |
| 951 | -0.074778 | -1.274014 |
| 952 | -0.892608 | -0.585122 |
| 953 | -0.879859 | 1.137106 |
| 954 | 2.413347 | -1.421633 |
| 955 | 2.695094 | -0.388296 |
| 956 | 2.807708 | 1.629171 |
| 957 | -0.628710 | 0.399008 |
| 958 | 0.424334 | 0.989486 |
| 959 | -0.391371 | 1.579964 |
| 960 | -0.509934 | 0.005356 |
| 961 | -0.478912 | 1.038693 |
| 962 | 1.598491 | 0.891073 |
| 963 | 0.082881 | -1.716872 |
| 964 | -0.080302 | 0.005356 |
| 965 | -0.602150 | 0.054562 |
| 966 | 0.744752 | -0.634329 |
| 967 | -0.874548 | 1.087899 |
| 968 | -0.396046 | 0.841867 |
| 969 | 0.296422 | -0.585122 |
| 970 | -0.843313 | 1.579964 |
| 971 | 1.410660 | 0.792660 |
| 972 | -1.039431 | 1.530758 |
| 973 | -0.242211 | -0.289883 |
| 974 | -0.304255 | -1.126394 |
| 975 | 1.528161 | 0.940280 |
| 976 | 1.465905 | 0.103769 |
| 977 | -0.950615 | 1.284725 |
| 978 | -0.026758 | 1.137106 |
| 979 | -0.228187 | 0.989486 |
| 980 | -0.789981 | 1.186312 |
| 981 | -0.401358 | 0.054562 |
| 982 | -0.827165 | -0.437503 |
| 983 | 0.039111 | 1.579964 |
| 984 | -0.377985 | -0.880361 |
| 985 | -0.068828 | 1.579964 |
| 986 | -0.081365 | -1.077188 |
| 987 | 0.869690 | -0.683535 |
| 988 | -0.220113 | 0.448214 |
| 989 | -0.745148 | -0.585122 |
| 990 | 0.742627 | -0.240677 |
| 991 | -0.515246 | -1.470840 |
| 992 | 0.938533 | 0.251388 |
| 993 | -0.057567 | 1.333932 |
| 994 | 1.432971 | -0.339090 |
| 995 | -0.514609 | 0.349801 |
| 996 | -0.155945 | 1.579964 |
| 997 | -0.873060 | -0.732742 |
| 998 | -0.552217 | -1.470840 |
| 999 | 2.187695 | -1.716872 |
| 1000 | -0.754922 | -0.585122 |
| 1001 | -0.610649 | 1.383138 |
| 1002 | 0.607491 | -0.289883 |
| 1003 | -0.695641 | 0.743454 |
| 1004 | -0.621485 | 1.678377 |
| 1005 | 0.315545 | -0.732742 |
| 1006 | -0.471476 | 1.530758 |
| 1007 | 0.223117 | 0.891073 |
| 1008 | 2.300096 | -0.585122 |
| 1009 | 2.804308 | 0.497421 |
| 1010 | 1.748501 | 0.743454 |
| 1011 | 0.589643 | 1.629171 |
| 1012 | -1.092976 | -0.781948 |
| 1013 | -0.366299 | 0.349801 |
| 1014 | 2.107590 | 1.333932 |
| 1015 | -0.745148 | 1.235519 |
| 1016 | -1.113798 | -1.569253 |
| 1017 | -0.935741 | 1.235519 |
| 1018 | -0.147233 | -1.421633 |
| 1019 | -0.181867 | 1.579964 |
| 1020 | -0.655057 | 0.399008 |
| 1021 | -0.446828 | 0.103769 |
| 1022 | -0.638059 | 0.891073 |
| 1023 | -0.942753 | 1.186312 |
| 1024 | 2.266312 | 0.792660 |
| 1025 | -0.497398 | -1.175601 |
| 1026 | 0.573919 | 1.530758 |
| 1027 | -0.681829 | 0.989486 |
| 1028 | -0.929792 | 1.186312 |
| 1029 | -0.537131 | 0.743454 |
| 1030 | 0.911548 | -1.716872 |
| 1031 | 0.763450 | -0.683535 |
| 1032 | -0.607037 | -0.585122 |
| 1033 | 0.200382 | 1.678377 |
| 1034 | 0.923872 | 1.432345 |
| 1035 | -0.933617 | 1.481551 |
| 1036 | -0.590889 | 1.383138 |
| 1037 | 0.611316 | -0.535916 |
| 1038 | -0.216076 | 1.481551 |
| 1039 | -0.799118 | -0.683535 |
| 1040 | 1.541335 | -0.535916 |
| 1041 | 0.416473 | 0.891073 |
| 1042 | -0.709877 | 1.186312 |
| 1043 | 2.144987 | -1.323220 |
| 1044 | 0.031461 | 1.481551 |
| 1045 | -0.883472 | 0.103769 |
| 1046 | -0.655057 | -0.831155 |
| 1047 | -0.452565 | -0.585122 |
| 1048 | -0.370548 | 0.743454 |
| 1049 | -0.255385 | 1.481551 |
| 1050 | -0.601300 | 0.399008 |
| 1051 | -0.368636 | 0.645041 |
| 1052 | -1.111036 | -0.093057 |
| 1053 | -0.340589 | 1.333932 |
| 1054 | 0.842067 | -1.520046 |
| 1055 | 2.231890 | 0.251388 |
| 1056 | -0.763634 | 1.284725 |
| 1057 | -0.156795 | -0.732742 |
| 1058 | -0.404545 | -1.274014 |
| 1059 | -0.870935 | 0.497421 |
| 1060 | -0.707752 | 1.137106 |
| 1061 | -0.949765 | 0.595834 |
| 1062 | 0.787460 | 0.989486 |
| 1063 | 0.449832 | 0.546627 |
| 1064 | -0.943178 | -0.978775 |
| 1065 | -0.524383 | -1.766079 |
| 1066 | -0.566241 | 0.792660 |
| 1067 | -0.406245 | 0.595834 |
| 1068 | -0.837576 | -1.372427 |
| 1069 | -1.049630 | 0.300595 |
| 1070 | -0.341014 | -0.535916 |
| 1071 | -0.364174 | -1.126394 |
| 1072 | -0.706052 | 1.530758 |
| 1073 | 0.009789 | 1.481551 |
| 1074 | -0.024420 | 0.152975 |
| 1075 | 1.007376 | -0.093057 |
| 1076 | 2.024724 | 1.038693 |
| 1077 | -0.879859 | 1.678377 |
| 1078 | 2.087617 | -1.667666 |
| 1079 | 0.397987 | -1.667666 |
| 1080 | 2.146686 | -0.732742 |
| 1081 | 0.446857 | 1.235519 |
| 1082 | -0.898983 | 1.530758 |
| 1083 | -0.952952 | 0.989486 |
| 1084 | 0.123252 | -0.093057 |
| 1085 | -0.513971 | -1.618459 |
| 1086 | 1.680296 | 1.087899 |
| 1087 | -0.891333 | -0.535916 |
| 1088 | -0.353125 | 0.103769 |
| 1089 | -0.471263 | -0.929568 |
| 1090 | 0.682496 | -1.323220 |
| 1091 | -0.463826 | -1.077188 |
| 1092 | -0.928730 | 1.530758 |
| 1093 | 0.769400 | -1.274014 |
| 1094 | -0.218838 | -0.929568 |
| 1095 | -0.275358 | 0.645041 |
| 1096 | 2.110778 | -1.372427 |
| 1097 | -0.893883 | -0.437503 |
| 1098 | -0.517158 | 0.300595 |
| 1099 | 0.199320 | 0.005356 |
| 1100 | -0.865411 | 1.579964 |
| 1101 | -0.132785 | 0.054562 |
| 1102 | -0.819941 | 0.202182 |
| 1103 | -0.013584 | 1.481551 |
| 1104 | -0.860949 | 1.235519 |
| 1105 | -0.023571 | -0.978775 |
| 1106 | 0.682284 | -0.093057 |
| 1107 | -0.090501 | 0.251388 |
| 1108 | -0.861161 | 0.103769 |
| 1109 | 0.583693 | -1.618459 |
| 1110 | -0.941053 | 0.152975 |
| 1111 | 0.778961 | 0.595834 |
| 1112 | -0.350150 | 0.743454 |
| 1113 | -0.513334 | -0.191470 |
| 1114 | -0.878797 | -0.043851 |
| 1115 | -0.750248 | -1.520046 |
| 1116 | 2.779873 | -0.289883 |
| 1117 | -0.216501 | -1.027981 |
| 1118 | -0.943816 | 1.137106 |
| 1119 | 0.726904 | 0.694247 |
| 1120 | -0.489749 | 1.186312 |
| 1121 | 0.066308 | 0.349801 |
| 1122 | -0.378197 | 1.038693 |
| 1123 | -0.076690 | -0.732742 |
| 1124 | 0.368453 | -1.372427 |
| 1125 | 0.499339 | 1.038693 |
| 1126 | 2.725691 | -0.339090 |
| 1127 | -0.941266 | -1.027981 |
| 1128 | -0.199928 | 0.694247 |
| 1129 | 2.785610 | 1.333932 |
| 1130 | -0.657819 | -0.978775 |
| 1131 | -0.305955 | 1.284725 |
| 1132 | -0.396046 | 0.891073 |
| 1133 | -0.345688 | 1.038693 |
| 1134 | -0.810167 | -0.142264 |
| 1135 | 2.350878 | -0.486709 |
| 1136 | -0.870085 | -0.732742 |
| 1137 | -0.783819 | 0.940280 |
| 1138 | 1.007588 | -1.224807 |
| 1139 | -0.678005 | -1.520046 |
| 1140 | 2.665772 | -1.716872 |
| 1141 | -0.926817 | -0.880361 |
| 1142 | -0.155945 | -0.781948 |
| 1143 | -0.450015 | -0.683535 |
| 1144 | -0.248798 | -0.585122 |
| 1145 | -0.390946 | 0.497421 |
| 1146 | -0.377985 | -1.175601 |
| 1147 | -0.699465 | 0.891073 |
| 1148 | -0.239236 | 0.497421 |
| 1149 | -0.517796 | 0.054562 |
| 1150 | -0.275145 | -0.880361 |
| 1151 | -0.345476 | -1.323220 |
| 1152 | -0.719438 | 1.530758 |
| 1153 | -1.048355 | 0.202182 |
| 1154 | 2.795171 | 1.579964 |
| 1155 | -0.729637 | 0.497421 |
| 1156 | 0.835481 | 0.694247 |
| 1157 | -0.500373 | -0.683535 |
| 1158 | -0.156157 | 0.940280 |
| 1159 | -0.310417 | 0.743454 |
| 1160 | -0.155732 | -0.339090 |
| 1161 | 0.266250 | -0.585122 |
| 1162 | 0.808071 | -0.535916 |
| 1163 | -0.545418 | 0.251388 |
| 1164 | 0.306409 | 0.891073 |
| 1165 | -0.161469 | -1.421633 |
| 1166 | 1.848366 | 1.137106 |
| 1167 | -0.225850 | -0.339090 |
| 1168 | -0.582814 | -1.667666 |
| 1169 | -0.634447 | 0.989486 |
| 1170 | -0.833539 | 1.038693 |
| 1171 | -0.921505 | 0.349801 |
| 1172 | -0.134697 | -1.175601 |
| 1173 | 0.319795 | -1.175601 |
| 1174 | -0.275570 | 0.546627 |
| 1175 | -0.256660 | 0.005356 |
| 1176 | 2.105678 | 0.300595 |
| 1177 | 1.437645 | -0.781948 |
| 1178 | -0.790406 | -1.716872 |
| 1179 | -0.227338 | 0.005356 |
| 1180 | -0.954015 | 0.546627 |
| 1181 | 1.585743 | -1.224807 |
| 1182 | -0.452352 | -1.618459 |
| 1183 | 0.072045 | 0.645041 |
| 1184 | 2.320919 | 1.235519 |
| 1185 | 2.358528 | -0.043851 |
| 1186 | -0.408369 | -1.470840 |
| 1187 | -0.375648 | 1.186312 |
| 1188 | -0.492086 | -1.126394 |
| 1189 | -0.212039 | 1.333932 |
| 1190 | -0.219476 | -1.027981 |
| 1191 | -0.218201 | 0.054562 |
| 1192 | -0.832052 | 0.399008 |
| 1193 | -0.863286 | -1.175601 |
| 1194 | 2.011975 | -0.929568 |
| 1195 | 1.885975 | -1.470840 |
| 1196 | 0.123040 | 0.694247 |
| 1197 | -0.802092 | -0.585122 |
| 1198 | -0.241149 | -1.470840 |
| 1199 | -0.245611 | 0.694247 |
| 1200 | -0.702865 | -1.077188 |
| 1201 | -0.534157 | 1.333932 |
| 1202 | -0.679280 | 1.038693 |
| 1203 | 0.106679 | -0.880361 |
| 1204 | -0.817603 | 1.432345 |
| 1205 | -1.085751 | 1.432345 |
| 1206 | -0.835664 | 0.497421 |
| 1207 | -0.630197 | 1.383138 |
| 1208 | -0.534794 | -0.437503 |
| 1209 | 0.930671 | 1.284725 |
| 1210 | -0.950827 | 0.645041 |
| 1211 | 0.642125 | -1.716872 |
| 1212 | -0.759384 | -1.520046 |
| 1213 | -0.898345 | 1.629171 |
| 1214 | 0.292385 | 1.481551 |
| 1215 | -0.334214 | 0.645041 |
| 1216 | 0.285586 | 0.349801 |
| 1217 | -0.446616 | -0.191470 |
| 1218 | 0.581781 | -1.520046 |
| 1219 | -0.749823 | -1.126394 |
| 1220 | -0.425155 | -0.732742 |
| 1221 | 0.901986 | 0.399008 |
| 1222 | -1.051330 | -0.388296 |
| 1223 | 1.366890 | 0.792660 |
| 1224 | -0.891971 | -0.191470 |
| 1225 | 2.167509 | -0.880361 |
| 1226 | -0.652295 | -0.486709 |
| 1227 | -0.642946 | 0.152975 |
| 1228 | -0.015496 | -0.289883 |
| 1229 | 0.002777 | 1.284725 |
| 1230 | -0.551580 | 1.235519 |
| 1231 | -0.199928 | -1.569253 |
| 1232 | 0.080756 | -0.831155 |
| 1233 | -0.773620 | -1.618459 |
| 1234 | -0.324015 | 1.038693 |
| 1235 | 0.821245 | 0.399008 |
| 1236 | -0.078390 | 1.481551 |
| 1237 | 0.049310 | -1.569253 |
| 1238 | -0.681617 | -0.732742 |
| 1239 | -0.268771 | -1.766079 |
| 1240 | -0.006572 | 0.546627 |
| 1241 | 0.660186 | 0.694247 |
| 1242 | 2.832355 | 1.087899 |
| 1243 | 0.691208 | -0.486709 |
| 1244 | -0.326140 | 0.595834 |
| 1245 | -0.925967 | -0.339090 |
| 1246 | -0.918531 | 0.005356 |
| 1247 | 0.391613 | -0.732742 |
| 1248 | -0.649745 | 0.054562 |
| 1249 | -0.795293 | -0.683535 |
| 1250 | -0.044393 | 0.202182 |
| 1251 | 0.135364 | 1.383138 |
| 1252 | -0.758747 | 1.530758 |
| 1253 | -0.288106 | -0.191470 |
| 1254 | -0.424093 | 0.694247 |
| 1255 | 0.437933 | 0.399008 |
| 1256 | -0.857337 | 0.448214 |
| 1257 | 0.352304 | 0.202182 |
| 1258 | -0.933617 | 1.235519 |
| 1259 | -0.256872 | -0.388296 |
| 1260 | -0.804217 | -0.043851 |
| 1261 | -0.147021 | -0.289883 |
| 1262 | -0.863924 | -1.372427 |
| 1263 | -0.794018 | -0.437503 |
| 1264 | 2.663434 | -0.289883 |
| 1265 | -0.732612 | 1.186312 |
| 1266 | -0.895370 | 1.383138 |
| 1267 | -0.531607 | 1.038693 |
| 1268 | 1.373052 | -0.289883 |
| 1269 | -0.629772 | 1.530758 |
| 1270 | -0.100700 | -1.667666 |
| 1271 | -0.812504 | -1.716872 |
| 1272 | -0.595138 | -1.274014 |
| 1273 | -0.872210 | 0.645041 |
| 1274 | -0.219901 | 1.235519 |
| 1275 | 1.405136 | -0.634329 |
| 1276 | -0.491661 | -0.978775 |
| 1277 | 2.725053 | -0.978775 |
| 1278 | 0.386301 | 1.186312 |
| 1279 | -0.884109 | 1.629171 |
| 1280 | -0.516733 | 1.137106 |
| 1281 | -0.146596 | 0.891073 |
| 1282 | -0.713914 | 1.186312 |
| 1283 | -0.947428 | 0.792660 |
| 1284 | 1.479078 | -0.043851 |
| 1285 | 0.316183 | 1.579964 |
| 1286 | -0.664194 | 1.629171 |
| 1287 | -0.205027 | 1.432345 |
| 1288 | -0.157432 | 1.186312 |
| 1289 | -0.830989 | 1.678377 |
| 1290 | -0.245823 | 1.333932 |
| 1291 | -0.486562 | -0.388296 |
| 1292 | -0.504835 | 0.841867 |
| 1293 | -0.863711 | -0.683535 |
| 1294 | 0.077994 | 0.940280 |
| 1295 | 0.838030 | 0.743454 |
| 1296 | 0.672297 | -0.093057 |
| 1297 | -0.925330 | 0.152975 |
| 1298 | 0.514850 | 0.005356 |
| 1299 | 0.002139 | -0.683535 |
| 1300 | 0.062908 | 1.284725 |
| 1301 | 2.079756 | -0.683535 |
| 1302 | -0.806979 | 1.235519 |
| 1303 | 0.813808 | 1.284725 |
| 1304 | -0.436629 | -0.929568 |
| 1305 | 0.074595 | 0.103769 |
| 1306 | 0.665923 | 0.103769 |
| 1307 | -0.618723 | 0.054562 |
| 1308 | -0.233287 | 0.546627 |
| 1309 | -0.386484 | -0.978775 |
| 1310 | 1.972666 | 1.038693 |
| 1311 | -1.060041 | -1.618459 |
| 1312 | -0.753647 | 1.137106 |
| 1313 | -0.885596 | -0.486709 |
| 1314 | -0.286619 | 0.054562 |
| 1315 | 0.097542 | 0.349801 |
| 1316 | -0.175918 | 1.284725 |
| 1317 | -0.876247 | -0.634329 |
| 1318 | -0.571765 | -1.274014 |
| 1319 | -0.394133 | 0.645041 |
| 1320 | -0.757897 | -1.372427 |
| 1321 | -0.934467 | -0.093057 |
| 1322 | 0.440908 | 0.792660 |
| 1323 | -0.806767 | -1.126394 |
| 1324 | -0.025270 | 1.333932 |
| 1325 | -0.538619 | 0.743454 |
| 1326 | 0.723292 | 0.792660 |
| 1327 | 1.428296 | -1.027981 |
| 1328 | -0.629560 | -1.470840 |
| 1329 | -0.785944 | 1.038693 |
| 1330 | 2.738652 | 0.743454 |
| 1331 | 2.796659 | 1.235519 |
| 1332 | -0.863499 | 0.349801 |
| 1333 | 0.172335 | -0.093057 |
| 1334 | -0.367361 | 0.546627 |
| 1335 | -0.552642 | -1.224807 |
| 1336 | -0.816116 | 1.579964 |
| 1337 | -0.774895 | 0.595834 |
| 1338 | -1.152045 | 1.137106 |
| 1339 | -0.856487 | 0.448214 |
| 1340 | -0.176343 | -0.142264 |
| 1341 | -0.489961 | 1.137106 |
| 1342 | 0.682071 | -0.093057 |
| 1343 | -0.943603 | -0.339090 |
| 1344 | -0.471476 | 0.595834 |
| 1345 | -0.364386 | -1.077188 |
| 1346 | -0.126835 | 1.333932 |
| 1347 | -0.556042 | 1.383138 |
| 1348 | 2.192794 | 1.579964 |
| 1349 | -0.758534 | 1.186312 |
| 1350 | -0.000623 | 1.137106 |
| 1351 | 2.267374 | -0.388296 |
| 1352 | -0.312329 | 0.595834 |
| 1353 | -0.891546 | 0.940280 |
| 1354 | -0.832052 | 1.530758 |
| 1355 | -0.211614 | -1.618459 |
| 1356 | -0.448315 | -0.585122 |
| 1357 | 1.454431 | 0.841867 |
| 1358 | 0.017013 | 0.989486 |
| 1359 | 0.339980 | 0.448214 |
| 1360 | -0.536494 | -0.191470 |
| 1361 | -0.841188 | -0.240677 |
| 1362 | -0.234562 | -1.077188 |
| 1363 | -0.215864 | -1.126394 |
| 1364 | 0.070345 | -1.175601 |
| 1365 | -1.149920 | -1.027981 |
| 1366 | -0.162957 | -1.667666 |
| 1367 | -0.908757 | -1.224807 |
| 1368 | -0.160619 | 0.989486 |
| 1369 | 0.712031 | 0.891073 |
| 1370 | -0.220113 | -0.093057 |
| 1371 | -0.238599 | 1.137106 |
| 1372 | -0.287257 | 1.038693 |
| 1373 | -0.928517 | -0.388296 |
| 1374 | 2.416322 | 0.300595 |
| 1375 | -0.864986 | -0.929568 |
| 1376 | -0.367998 | 0.251388 |
| 1377 | 2.689569 | -1.175601 |
| 1378 | -0.300855 | 0.546627 |
| 1379 | -0.773408 | -0.388296 |
| 1380 | -0.200140 | 0.251388 |
| 1381 | -0.926180 | -0.831155 |
| 1382 | -0.730487 | -0.880361 |
| 1383 | -0.784669 | 0.005356 |
| 1384 | 0.719255 | -1.667666 |
| 1385 | 0.451532 | -1.323220 |
| 1386 | -0.772558 | 1.432345 |
| 1387 | -0.240086 | 1.137106 |
| 1388 | 0.034861 | -1.569253 |
| 1389 | -0.318703 | -0.880361 |
| 1390 | -0.878797 | -1.667666 |
| 1391 | -0.774470 | -0.339090 |
| 1392 | -0.275995 | -0.535916 |
| 1393 | -0.509509 | -1.077188 |
| 1394 | 0.674847 | -0.486709 |
| 1395 | -0.188241 | -0.142264 |
| 1396 | 0.838243 | 0.005356 |
| 1397 | -0.766183 | 0.054562 |
| 1398 | -0.113661 | -1.470840 |
| 1399 | 0.213981 | -1.766079 |
| 1400 | -0.746210 | 1.087899 |
| 1401 | 2.790497 | 0.251388 |
| 1402 | -1.141846 | -0.339090 |
| 1403 | 1.452944 | 0.546627 |
| 1404 | -0.461277 | -1.421633 |
| 1405 | 0.962118 | -1.274014 |
| 1406 | -0.438329 | 0.546627 |
| 1407 | -0.400720 | -1.027981 |
| 1408 | -0.819303 | 0.595834 |
| 1409 | -0.038232 | 0.349801 |
| 1410 | -0.175493 | 1.284725 |
| 1411 | -0.917043 | 0.792660 |
| 1412 | -0.585364 | 0.497421 |
| 1413 | -0.536706 | -0.437503 |
| 1414 | 0.452594 | 0.891073 |
| 1415 | -0.955077 | -0.339090 |
| 1416 | -0.438329 | 0.989486 |
| 1417 | -0.730062 | -0.585122 |
| 1418 | -0.251135 | 0.300595 |
| 1419 | -0.232225 | -1.520046 |
| 1420 | -0.790618 | 0.497421 |
| 1421 | 1.158873 | 1.579964 |
| 1422 | -0.816541 | -1.126394 |
| 1423 | -0.664619 | -0.142264 |
| 1424 | -0.298518 | -0.880361 |
| 1425 | -0.345263 | 1.432345 |
| 1426 | -0.778932 | -0.831155 |
| 1427 | -0.870510 | 0.841867 |
| 1428 | -0.899620 | 0.103769 |
| 1429 | -0.508872 | -0.683535 |
| 1430 | 1.424259 | 1.629171 |
| 1431 | 0.832718 | -0.880361 |
| 1432 | 1.538573 | -1.175601 |
| 1433 | -0.339101 | 0.940280 |
| 1434 | -0.641883 | -1.274014 |
| 1435 | -0.864136 | -1.175601 |
| 1436 | -0.876035 | -0.388296 |
| 1437 | 2.746939 | 1.038693 |
| 1438 | -1.001397 | -1.618459 |
| 1439 | 0.242453 | 1.383138 |
| 1440 | -0.291506 | 1.530758 |
| 1441 | -0.041844 | -0.437503 |
| 1442 | -0.364599 | -1.470840 |
| 1443 | 2.629863 | -0.486709 |
| 1444 | -0.884747 | 0.300595 |
| 1445 | 1.501601 | -0.289883 |
| 1446 | 0.044423 | 1.432345 |
| 1447 | -0.233074 | 1.087899 |
| 1448 | 0.517400 | -0.437503 |
| 1449 | -0.863499 | 0.595834 |
| 1450 | 0.495940 | -1.716872 |
| 1451 | -0.246461 | 1.678377 |
| 1452 | 0.047822 | 1.383138 |
| 1453 | 0.031674 | 1.678377 |
| 1454 | -0.351213 | -0.781948 |
| 1455 | -0.784882 | -0.683535 |
| 1456 | -0.172943 | 0.694247 |
| 1457 | -0.956564 | 1.579964 |
| 1458 | -0.749185 | -0.191470 |
| 1459 | -0.526508 | -0.978775 |
| 1460 | -0.577502 | 0.349801 |
| 1461 | 0.924509 | -1.323220 |
| 1462 | 1.174597 | -0.289883 |
| 1463 | 0.729454 | 0.399008 |
| 1464 | -0.751522 | -1.766079 |
| 1465 | -0.835451 | -1.224807 |
| 1466 | 0.741140 | -1.175601 |
| 1467 | -0.076690 | 1.038693 |
| 1468 | -0.236474 | -0.142264 |
| 1469 | -0.445978 | 0.792660 |
from sklearn.cluster import KMeans
k = list(range(1,15))
wcss = []
for i in range(1,15):
km = KMeans(n_clusters=i)
model = km.fit(C)
wcss.append(model.inertia_)
import matplotlib.pyplot as plt
plt.scatter(k,wcss,c="red")
plt.plot(k,wcss,c="blue")
plt.xlabel("Number of clusters - K")
plt.ylabel("Within Clusters Sum of Squares")
plt.title("Elbow Curve")
plt.xticks(range(1,15,1))
([<matplotlib.axis.XTick at 0x7f1d881fecd0>, <matplotlib.axis.XTick at 0x7f1d881fec90>, <matplotlib.axis.XTick at 0x7f1d881fe8d0>, <matplotlib.axis.XTick at 0x7f1d8822cc10>, <matplotlib.axis.XTick at 0x7f1d88219090>, <matplotlib.axis.XTick at 0x7f1d882196d0>, <matplotlib.axis.XTick at 0x7f1d88219c50>, <matplotlib.axis.XTick at 0x7f1d88214210>, <matplotlib.axis.XTick at 0x7f1d88214710>, <matplotlib.axis.XTick at 0x7f1d88214c50>, <matplotlib.axis.XTick at 0x7f1d881f90d0>, <matplotlib.axis.XTick at 0x7f1d88214690>, <matplotlib.axis.XTick at 0x7f1d88214450>, <matplotlib.axis.XTick at 0x7f1d881f9850>], <a list of 14 Text major ticklabel objects>)
km = KMeans(n_clusters=4)
model = km.fit(C)
B1 = B
B1['clusters'] = model.labels_
B.columns
Index(['Attrition', 'Age', 'BusinessTravel', 'DailyRate', 'Department',
'DistanceFromHome', 'Education', 'EducationField', 'EmployeeCount',
'EmployeeNumber', 'EnvironmentSatisfaction', 'Gender', 'HourlyRate',
'JobInvolvement', 'JobLevel', 'JobRole', 'JobSatisfaction',
'MaritalStatus', 'MonthlyIncome', 'MonthlyRate', 'NumCompaniesWorked',
'Over18', 'OverTime', 'PercentSalaryHike', 'PerformanceRating',
'RelationshipSatisfaction', 'StandardHours', 'StockOptionLevel',
'TotalWorkingYears', 'TrainingTimesLastYear', 'WorkLifeBalance',
'YearsAtCompany', 'YearsInCurrentRole', 'YearsSinceLastPromotion',
'YearsWithCurrManager', 'clusters'],
dtype='object')
B1[B1.clusters == 2][["JobLevel"]]
| JobLevel | |
|---|---|
| 0 | 2 |
| 2 | 1 |
| 5 | 1 |
| 6 | 1 |
| 7 | 1 |
| 9 | 2 |
| 10 | 1 |
| 13 | 1 |
| 16 | 1 |
| 17 | 1 |
| 20 | 2 |
| 21 | 1 |
| 23 | 1 |
| 24 | 1 |
| 26 | 1 |
| 30 | 1 |
| 32 | 1 |
| 35 | 1 |
| 36 | 1 |
| 37 | 1 |
| 38 | 1 |
| 40 | 1 |
| 46 | 2 |
| 47 | 1 |
| 48 | 2 |
| 50 | 3 |
| 52 | 2 |
| 63 | 3 |
| 66 | 2 |
| 68 | 1 |
| 69 | 1 |
| 71 | 1 |
| 72 | 1 |
| 73 | 2 |
| 79 | 2 |
| 83 | 2 |
| 84 | 2 |
| 87 | 1 |
| 88 | 2 |
| 91 | 2 |
| 94 | 2 |
| 99 | 2 |
| 101 | 1 |
| 102 | 1 |
| 104 | 2 |
| 111 | 2 |
| 115 | 3 |
| 120 | 1 |
| 121 | 2 |
| 122 | 1 |
| 124 | 2 |
| 128 | 1 |
| 129 | 2 |
| 130 | 1 |
| 132 | 2 |
| 133 | 3 |
| 135 | 2 |
| 141 | 1 |
| 143 | 1 |
| 145 | 1 |
| 148 | 1 |
| 149 | 1 |
| 151 | 3 |
| 157 | 1 |
| 159 | 1 |
| 160 | 1 |
| 164 | 1 |
| 171 | 1 |
| 173 | 2 |
| 175 | 1 |
| 176 | 1 |
| 179 | 1 |
| 180 | 1 |
| 181 | 1 |
| 182 | 1 |
| 183 | 1 |
| 185 | 1 |
| 191 | 1 |
| 198 | 2 |
| 201 | 2 |
| 203 | 2 |
| 204 | 2 |
| 207 | 1 |
| 211 | 3 |
| 214 | 1 |
| 217 | 1 |
| 224 | 2 |
| 225 | 1 |
| 228 | 3 |
| 229 | 1 |
| 230 | 1 |
| 240 | 1 |
| 241 | 2 |
| 247 | 2 |
| 248 | 1 |
| 249 | 2 |
| 253 | 2 |
| 258 | 1 |
| 259 | 1 |
| 260 | 1 |
| 262 | 2 |
| 264 | 1 |
| 265 | 2 |
| 267 | 2 |
| 272 | 1 |
| 273 | 2 |
| 274 | 1 |
| 278 | 2 |
| 281 | 2 |
| 287 | 2 |
| 289 | 1 |
| 292 | 1 |
| 297 | 3 |
| 298 | 1 |
| 299 | 2 |
| 301 | 1 |
| 302 | 2 |
| 303 | 2 |
| 306 | 2 |
| 309 | 1 |
| 311 | 3 |
| 317 | 2 |
| 318 | 1 |
| 320 | 2 |
| 321 | 2 |
| 322 | 2 |
| 323 | 1 |
| 330 | 2 |
| 331 | 2 |
| 334 | 2 |
| 336 | 1 |
| 345 | 1 |
| 346 | 2 |
| 347 | 2 |
| 351 | 1 |
| 354 | 2 |
| 356 | 2 |
| 357 | 1 |
| 360 | 2 |
| 364 | 1 |
| 368 | 2 |
| 370 | 1 |
| 372 | 2 |
| 373 | 1 |
| 374 | 2 |
| 376 | 2 |
| 377 | 1 |
| 378 | 2 |
| 380 | 2 |
| 381 | 1 |
| 382 | 1 |
| 386 | 1 |
| 388 | 1 |
| 391 | 2 |
| 393 | 2 |
| 396 | 2 |
| 397 | 2 |
| 398 | 2 |
| 399 | 1 |
| 402 | 2 |
| 404 | 2 |
| 405 | 1 |
| 407 | 1 |
| 409 | 2 |
| 412 | 2 |
| 413 | 2 |
| 418 | 1 |
| 421 | 1 |
| 423 | 3 |
| 433 | 3 |
| 438 | 3 |
| 441 | 1 |
| 443 | 1 |
| 447 | 2 |
| 450 | 2 |
| 457 | 1 |
| 461 | 2 |
| 462 | 2 |
| 463 | 1 |
| 467 | 3 |
| 468 | 2 |
| 474 | 1 |
| 475 | 2 |
| 476 | 1 |
| 480 | 1 |
| 481 | 1 |
| 484 | 2 |
| 485 | 1 |
| 487 | 1 |
| 488 | 2 |
| 491 | 2 |
| 495 | 1 |
| 498 | 1 |
| 500 | 2 |
| 501 | 1 |
| 504 | 2 |
| 505 | 1 |
| 508 | 2 |
| 514 | 1 |
| 519 | 1 |
| 521 | 2 |
| 522 | 1 |
| 523 | 1 |
| 526 | 2 |
| 530 | 3 |
| 536 | 2 |
| 540 | 1 |
| 542 | 3 |
| 545 | 2 |
| 546 | 1 |
| 549 | 2 |
| 553 | 1 |
| 555 | 1 |
| 556 | 2 |
| 558 | 2 |
| 559 | 1 |
| 565 | 1 |
| 566 | 2 |
| 569 | 3 |
| 571 | 1 |
| 572 | 2 |
| 574 | 1 |
| 575 | 2 |
| 576 | 2 |
| 577 | 1 |
| 578 | 2 |
| 579 | 1 |
| 580 | 1 |
| 583 | 2 |
| 587 | 2 |
| 591 | 2 |
| 594 | 1 |
| 600 | 2 |
| 603 | 1 |
| 604 | 2 |
| 606 | 1 |
| 612 | 2 |
| 613 | 1 |
| 614 | 1 |
| 622 | 2 |
| 623 | 1 |
| 626 | 2 |
| 628 | 2 |
| 633 | 1 |
| 634 | 2 |
| 636 | 1 |
| 638 | 2 |
| 642 | 1 |
| 643 | 2 |
| 656 | 1 |
| 659 | 2 |
| 664 | 2 |
| 668 | 1 |
| 669 | 1 |
| 670 | 1 |
| 671 | 1 |
| 672 | 2 |
| 673 | 1 |
| 682 | 1 |
| 687 | 1 |
| 689 | 1 |
| 692 | 2 |
| 697 | 1 |
| 698 | 2 |
| 703 | 2 |
| 704 | 3 |
| 708 | 2 |
| 711 | 1 |
| 713 | 1 |
| 715 | 2 |
| 719 | 2 |
| 722 | 1 |
| 726 | 2 |
| 727 | 1 |
| 731 | 1 |
| 734 | 1 |
| 735 | 2 |
| 748 | 2 |
| 751 | 2 |
| 754 | 1 |
| 756 | 1 |
| 761 | 2 |
| 763 | 1 |
| 764 | 1 |
| 768 | 2 |
| 769 | 1 |
| 778 | 2 |
| 780 | 3 |
| 786 | 1 |
| 795 | 2 |
| 801 | 2 |
| 807 | 3 |
| 808 | 1 |
| 809 | 3 |
| 815 | 1 |
| 816 | 2 |
| 817 | 2 |
| 818 | 1 |
| 819 | 1 |
| 822 | 2 |
| 825 | 2 |
| 828 | 1 |
| 829 | 2 |
| 831 | 1 |
| 834 | 2 |
| 835 | 1 |
| 842 | 1 |
| 843 | 1 |
| 844 | 2 |
| 845 | 2 |
| 847 | 2 |
| 849 | 2 |
| 850 | 1 |
| 854 | 1 |
| 856 | 1 |
| 857 | 1 |
| 859 | 1 |
| 862 | 1 |
| 863 | 1 |
| 864 | 1 |
| 868 | 1 |
| 870 | 2 |
| 871 | 1 |
| 872 | 2 |
| 878 | 2 |
| 880 | 1 |
| 884 | 2 |
| 891 | 1 |
| 892 | 1 |
| 893 | 1 |
| 895 | 2 |
| 896 | 2 |
| 901 | 1 |
| 902 | 1 |
| 903 | 2 |
| 906 | 1 |
| 908 | 3 |
| 911 | 1 |
| 917 | 2 |
| 924 | 1 |
| 925 | 2 |
| 928 | 3 |
| 931 | 2 |
| 933 | 1 |
| 938 | 1 |
| 939 | 2 |
| 940 | 1 |
| 953 | 1 |
| 957 | 1 |
| 958 | 3 |
| 959 | 2 |
| 960 | 2 |
| 961 | 2 |
| 964 | 2 |
| 965 | 1 |
| 967 | 1 |
| 968 | 2 |
| 970 | 1 |
| 972 | 1 |
| 977 | 1 |
| 978 | 2 |
| 979 | 2 |
| 980 | 1 |
| 981 | 2 |
| 983 | 2 |
| 985 | 2 |
| 988 | 2 |
| 993 | 2 |
| 995 | 2 |
| 996 | 2 |
| 1001 | 1 |
| 1003 | 1 |
| 1004 | 1 |
| 1006 | 2 |
| 1007 | 3 |
| 1013 | 2 |
| 1015 | 1 |
| 1017 | 1 |
| 1019 | 2 |
| 1020 | 1 |
| 1021 | 1 |
| 1022 | 1 |
| 1023 | 1 |
| 1027 | 1 |
| 1028 | 1 |
| 1029 | 2 |
| 1033 | 3 |
| 1035 | 1 |
| 1036 | 1 |
| 1038 | 2 |
| 1041 | 2 |
| 1042 | 1 |
| 1044 | 2 |
| 1045 | 1 |
| 1048 | 2 |
| 1049 | 2 |
| 1050 | 1 |
| 1051 | 2 |
| 1053 | 2 |
| 1056 | 1 |
| 1059 | 1 |
| 1060 | 1 |
| 1061 | 1 |
| 1063 | 2 |
| 1066 | 1 |
| 1067 | 2 |
| 1069 | 1 |
| 1072 | 1 |
| 1073 | 2 |
| 1074 | 2 |
| 1077 | 1 |
| 1081 | 3 |
| 1082 | 2 |
| 1083 | 1 |
| 1088 | 1 |
| 1092 | 1 |
| 1095 | 2 |
| 1098 | 2 |
| 1099 | 3 |
| 1100 | 1 |
| 1101 | 2 |
| 1102 | 1 |
| 1103 | 2 |
| 1104 | 1 |
| 1107 | 2 |
| 1108 | 1 |
| 1110 | 1 |
| 1112 | 2 |
| 1118 | 1 |
| 1120 | 2 |
| 1121 | 2 |
| 1122 | 1 |
| 1125 | 2 |
| 1128 | 2 |
| 1131 | 2 |
| 1132 | 2 |
| 1133 | 1 |
| 1137 | 1 |
| 1145 | 2 |
| 1147 | 1 |
| 1148 | 2 |
| 1149 | 1 |
| 1152 | 1 |
| 1153 | 1 |
| 1155 | 2 |
| 1158 | 2 |
| 1159 | 2 |
| 1163 | 1 |
| 1164 | 3 |
| 1169 | 1 |
| 1170 | 1 |
| 1171 | 1 |
| 1174 | 2 |
| 1175 | 2 |
| 1179 | 2 |
| 1180 | 1 |
| 1183 | 2 |
| 1187 | 2 |
| 1189 | 2 |
| 1191 | 2 |
| 1192 | 1 |
| 1196 | 3 |
| 1199 | 2 |
| 1201 | 1 |
| 1202 | 1 |
| 1204 | 1 |
| 1205 | 1 |
| 1206 | 1 |
| 1207 | 1 |
| 1210 | 1 |
| 1213 | 1 |
| 1214 | 3 |
| 1215 | 1 |
| 1216 | 2 |
| 1227 | 1 |
| 1229 | 2 |
| 1230 | 1 |
| 1234 | 2 |
| 1236 | 2 |
| 1240 | 2 |
| 1244 | 1 |
| 1246 | 1 |
| 1248 | 1 |
| 1250 | 2 |
| 1251 | 3 |
| 1252 | 1 |
| 1254 | 2 |
| 1255 | 3 |
| 1256 | 1 |
| 1257 | 3 |
| 1258 | 1 |
| 1265 | 2 |
| 1266 | 1 |
| 1267 | 2 |
| 1269 | 1 |
| 1273 | 1 |
| 1274 | 2 |
| 1278 | 3 |
| 1279 | 1 |
| 1280 | 2 |
| 1281 | 2 |
| 1282 | 1 |
| 1283 | 1 |
| 1285 | 2 |
| 1286 | 1 |
| 1287 | 2 |
| 1288 | 2 |
| 1289 | 1 |
| 1290 | 2 |
| 1292 | 2 |
| 1294 | 2 |
| 1297 | 1 |
| 1300 | 2 |
| 1302 | 1 |
| 1305 | 2 |
| 1307 | 1 |
| 1308 | 2 |
| 1312 | 1 |
| 1314 | 2 |
| 1315 | 2 |
| 1316 | 2 |
| 1319 | 2 |
| 1322 | 3 |
| 1324 | 2 |
| 1325 | 1 |
| 1329 | 1 |
| 1332 | 1 |
| 1334 | 1 |
| 1336 | 1 |
| 1337 | 1 |
| 1338 | 1 |
| 1339 | 1 |
| 1341 | 2 |
| 1344 | 2 |
| 1346 | 2 |
| 1347 | 2 |
| 1349 | 1 |
| 1350 | 2 |
| 1352 | 2 |
| 1353 | 1 |
| 1354 | 1 |
| 1358 | 2 |
| 1359 | 2 |
| 1368 | 2 |
| 1371 | 2 |
| 1372 | 2 |
| 1376 | 1 |
| 1378 | 2 |
| 1380 | 2 |
| 1383 | 1 |
| 1386 | 1 |
| 1387 | 2 |
| 1397 | 2 |
| 1400 | 1 |
| 1406 | 2 |
| 1408 | 1 |
| 1409 | 2 |
| 1410 | 2 |
| 1411 | 1 |
| 1412 | 1 |
| 1414 | 3 |
| 1416 | 2 |
| 1418 | 2 |
| 1420 | 1 |
| 1425 | 2 |
| 1427 | 1 |
| 1428 | 1 |
| 1433 | 2 |
| 1439 | 3 |
| 1440 | 2 |
| 1444 | 1 |
| 1446 | 2 |
| 1447 | 2 |
| 1449 | 1 |
| 1451 | 2 |
| 1452 | 2 |
| 1453 | 2 |
| 1456 | 2 |
| 1457 | 1 |
| 1460 | 1 |
| 1467 | 2 |
| 1469 | 2 |
plt.scatter(B1.MonthlyIncome,B1.HourlyRate,c=B1.clusters)
plt.show()
import pandas as pd
A1 = pd.read_csv("/content/drive/MyDrive/python/Attrition_Project/Trial 01/HR-Employee-Attrition-Table 1.csv")
A1
| Attrition | Age | BusinessTravel | DailyRate | Department | DistanceFromHome | Education | EducationField | EmployeeCount | EmployeeNumber | EnvironmentSatisfaction | Gender | HourlyRate | JobInvolvement | JobLevel | JobRole | JobSatisfaction | MaritalStatus | MonthlyIncome | MonthlyRate | NumCompaniesWorked | Over18 | OverTime | PercentSalaryHike | PerformanceRating | RelationshipSatisfaction | StandardHours | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 41 | Travel_Rarely | 1102 | Sales | 1 | 2 | Life Sciences | 1 | 1 | 2 | Female | 94 | 3 | 2 | Sales Executive | 4 | Single | 5993 | 19479 | 8 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 8 | 0 | 1 | 6 | 4 | 0 | 5 |
| 1 | 0 | 49 | Travel_Frequently | 279 | Research & Development | 8 | 1 | Life Sciences | 1 | 2 | 3 | Male | 61 | 2 | 2 | Research Scientist | 2 | Married | 5130 | 24907 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 7 | 1 | 7 |
| 2 | 1 | 37 | Travel_Rarely | 1373 | Research & Development | 2 | 2 | Other | 1 | 4 | 4 | Male | 92 | 2 | 1 | Laboratory Technician | 3 | Single | 2090 | 2396 | 6 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 7 | 3 | 3 | 0 | 0 | 0 | 0 |
| 3 | 0 | 33 | Travel_Frequently | 1392 | Research & Development | 3 | 4 | Life Sciences | 1 | 5 | 4 | Female | 56 | 3 | 1 | Research Scientist | 3 | Married | 2909 | 23159 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 3 | 3 | 8 | 7 | 3 | 0 |
| 4 | 0 | 27 | Travel_Rarely | 591 | Research & Development | 2 | 1 | Medical | 1 | 7 | 1 | Male | 40 | 3 | 1 | Laboratory Technician | 2 | Married | 3468 | 16632 | 9 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 5 | 0 | 32 | Travel_Frequently | 1005 | Research & Development | 2 | 2 | Life Sciences | 1 | 8 | 4 | Male | 79 | 3 | 1 | Laboratory Technician | 4 | Single | 3068 | 11864 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 8 | 2 | 2 | 7 | 7 | 3 | 6 |
| 6 | 0 | 59 | Travel_Rarely | 1324 | Research & Development | 3 | 3 | Medical | 1 | 10 | 3 | Female | 81 | 4 | 1 | Laboratory Technician | 1 | Married | 2670 | 9964 | 4 | Y | Yes | 20 | 4 | 1 | 80 | 3 | 12 | 3 | 2 | 1 | 0 | 0 | 0 |
| 7 | 0 | 30 | Travel_Rarely | 1358 | Research & Development | 24 | 1 | Life Sciences | 1 | 11 | 4 | Male | 67 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2693 | 13335 | 1 | Y | No | 22 | 4 | 2 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 8 | 0 | 38 | Travel_Frequently | 216 | Research & Development | 23 | 3 | Life Sciences | 1 | 12 | 4 | Male | 44 | 2 | 3 | Manufacturing Director | 3 | Single | 9526 | 8787 | 0 | Y | No | 21 | 4 | 2 | 80 | 0 | 10 | 2 | 3 | 9 | 7 | 1 | 8 |
| 9 | 0 | 36 | Travel_Rarely | 1299 | Research & Development | 27 | 3 | Medical | 1 | 13 | 3 | Male | 94 | 3 | 2 | Healthcare Representative | 3 | Married | 5237 | 16577 | 6 | Y | No | 13 | 3 | 2 | 80 | 2 | 17 | 3 | 2 | 7 | 7 | 7 | 7 |
| 10 | 0 | 35 | Travel_Rarely | 809 | Research & Development | 16 | 3 | Medical | 1 | 14 | 1 | Male | 84 | 4 | 1 | Laboratory Technician | 2 | Married | 2426 | 16479 | 0 | Y | No | 13 | 3 | 3 | 80 | 1 | 6 | 5 | 3 | 5 | 4 | 0 | 3 |
| 11 | 0 | 29 | Travel_Rarely | 153 | Research & Development | 15 | 2 | Life Sciences | 1 | 15 | 4 | Female | 49 | 2 | 2 | Laboratory Technician | 3 | Single | 4193 | 12682 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 9 | 5 | 0 | 8 |
| 12 | 0 | 31 | Travel_Rarely | 670 | Research & Development | 26 | 1 | Life Sciences | 1 | 16 | 1 | Male | 31 | 3 | 1 | Research Scientist | 3 | Divorced | 2911 | 15170 | 1 | Y | No | 17 | 3 | 4 | 80 | 1 | 5 | 1 | 2 | 5 | 2 | 4 | 3 |
| 13 | 0 | 34 | Travel_Rarely | 1346 | Research & Development | 19 | 2 | Medical | 1 | 18 | 2 | Male | 93 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2661 | 8758 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 1 | 2 |
| 14 | 1 | 28 | Travel_Rarely | 103 | Research & Development | 24 | 3 | Life Sciences | 1 | 19 | 3 | Male | 50 | 2 | 1 | Laboratory Technician | 3 | Single | 2028 | 12947 | 5 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 6 | 4 | 3 | 4 | 2 | 0 | 3 |
| 15 | 0 | 29 | Travel_Rarely | 1389 | Research & Development | 21 | 4 | Life Sciences | 1 | 20 | 2 | Female | 51 | 4 | 3 | Manufacturing Director | 1 | Divorced | 9980 | 10195 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 10 | 9 | 8 | 8 |
| 16 | 0 | 32 | Travel_Rarely | 334 | Research & Development | 5 | 2 | Life Sciences | 1 | 21 | 1 | Male | 80 | 4 | 1 | Research Scientist | 2 | Divorced | 3298 | 15053 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 7 | 5 | 2 | 6 | 2 | 0 | 5 |
| 17 | 0 | 22 | Non-Travel | 1123 | Research & Development | 16 | 2 | Medical | 1 | 22 | 4 | Male | 96 | 4 | 1 | Laboratory Technician | 4 | Divorced | 2935 | 7324 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 2 | 1 | 2 | 2 | 1 | 0 | 0 | 0 |
| 18 | 0 | 53 | Travel_Rarely | 1219 | Sales | 2 | 4 | Life Sciences | 1 | 23 | 1 | Female | 78 | 2 | 4 | Manager | 4 | Married | 15427 | 22021 | 2 | Y | No | 16 | 3 | 3 | 80 | 0 | 31 | 3 | 3 | 25 | 8 | 3 | 7 |
| 19 | 0 | 38 | Travel_Rarely | 371 | Research & Development | 2 | 3 | Life Sciences | 1 | 24 | 4 | Male | 45 | 3 | 1 | Research Scientist | 4 | Single | 3944 | 4306 | 5 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 3 | 2 | 1 | 2 |
| 20 | 0 | 24 | Non-Travel | 673 | Research & Development | 11 | 2 | Other | 1 | 26 | 1 | Female | 96 | 4 | 2 | Manufacturing Director | 3 | Divorced | 4011 | 8232 | 0 | Y | No | 18 | 3 | 4 | 80 | 1 | 5 | 5 | 2 | 4 | 2 | 1 | 3 |
| 21 | 1 | 36 | Travel_Rarely | 1218 | Sales | 9 | 4 | Life Sciences | 1 | 27 | 3 | Male | 82 | 2 | 1 | Sales Representative | 1 | Single | 3407 | 6986 | 7 | Y | No | 23 | 4 | 2 | 80 | 0 | 10 | 4 | 3 | 5 | 3 | 0 | 3 |
| 22 | 0 | 34 | Travel_Rarely | 419 | Research & Development | 7 | 4 | Life Sciences | 1 | 28 | 1 | Female | 53 | 3 | 3 | Research Director | 2 | Single | 11994 | 21293 | 0 | Y | No | 11 | 3 | 3 | 80 | 0 | 13 | 4 | 3 | 12 | 6 | 2 | 11 |
| 23 | 0 | 21 | Travel_Rarely | 391 | Research & Development | 15 | 2 | Life Sciences | 1 | 30 | 3 | Male | 96 | 3 | 1 | Research Scientist | 4 | Single | 1232 | 19281 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 0 |
| 24 | 1 | 34 | Travel_Rarely | 699 | Research & Development | 6 | 1 | Medical | 1 | 31 | 2 | Male | 83 | 3 | 1 | Research Scientist | 1 | Single | 2960 | 17102 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 4 | 2 | 1 | 3 |
| 25 | 0 | 53 | Travel_Rarely | 1282 | Research & Development | 5 | 3 | Other | 1 | 32 | 3 | Female | 58 | 3 | 5 | Manager | 3 | Divorced | 19094 | 10735 | 4 | Y | No | 11 | 3 | 4 | 80 | 1 | 26 | 3 | 2 | 14 | 13 | 4 | 8 |
| 26 | 1 | 32 | Travel_Frequently | 1125 | Research & Development | 16 | 1 | Life Sciences | 1 | 33 | 2 | Female | 72 | 1 | 1 | Research Scientist | 1 | Single | 3919 | 4681 | 1 | Y | Yes | 22 | 4 | 2 | 80 | 0 | 10 | 5 | 3 | 10 | 2 | 6 | 7 |
| 27 | 0 | 42 | Travel_Rarely | 691 | Sales | 8 | 4 | Marketing | 1 | 35 | 3 | Male | 48 | 3 | 2 | Sales Executive | 2 | Married | 6825 | 21173 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 9 | 7 | 4 | 2 |
| 28 | 0 | 44 | Travel_Rarely | 477 | Research & Development | 7 | 4 | Medical | 1 | 36 | 1 | Female | 42 | 2 | 3 | Healthcare Representative | 4 | Married | 10248 | 2094 | 3 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 4 | 3 | 22 | 6 | 5 | 17 |
| 29 | 0 | 46 | Travel_Rarely | 705 | Sales | 2 | 4 | Marketing | 1 | 38 | 2 | Female | 83 | 3 | 5 | Manager | 1 | Single | 18947 | 22822 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 22 | 2 | 2 | 2 | 2 | 2 | 1 |
| 30 | 0 | 33 | Travel_Rarely | 924 | Research & Development | 2 | 3 | Medical | 1 | 39 | 3 | Male | 78 | 3 | 1 | Laboratory Technician | 4 | Single | 2496 | 6670 | 4 | Y | No | 11 | 3 | 4 | 80 | 0 | 7 | 3 | 3 | 1 | 1 | 0 | 0 |
| 31 | 0 | 44 | Travel_Rarely | 1459 | Research & Development | 10 | 4 | Other | 1 | 40 | 4 | Male | 41 | 3 | 2 | Healthcare Representative | 4 | Married | 6465 | 19121 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 9 | 5 | 4 | 4 | 2 | 1 | 3 |
| 32 | 0 | 30 | Travel_Rarely | 125 | Research & Development | 9 | 2 | Medical | 1 | 41 | 4 | Male | 83 | 2 | 1 | Laboratory Technician | 3 | Single | 2206 | 16117 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 10 | 5 | 3 | 10 | 0 | 1 | 8 |
| 33 | 1 | 39 | Travel_Rarely | 895 | Sales | 5 | 3 | Technical Degree | 1 | 42 | 4 | Male | 56 | 3 | 2 | Sales Representative | 4 | Married | 2086 | 3335 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 19 | 6 | 4 | 1 | 0 | 0 | 0 |
| 34 | 1 | 24 | Travel_Rarely | 813 | Research & Development | 1 | 3 | Medical | 1 | 45 | 2 | Male | 61 | 3 | 1 | Research Scientist | 4 | Married | 2293 | 3020 | 2 | Y | Yes | 16 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 2 | 0 | 2 | 0 |
| 35 | 0 | 43 | Travel_Rarely | 1273 | Research & Development | 2 | 2 | Medical | 1 | 46 | 4 | Female | 72 | 4 | 1 | Research Scientist | 3 | Divorced | 2645 | 21923 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 6 | 3 | 2 | 5 | 3 | 1 | 4 |
| 36 | 1 | 50 | Travel_Rarely | 869 | Sales | 3 | 2 | Marketing | 1 | 47 | 1 | Male | 86 | 2 | 1 | Sales Representative | 3 | Married | 2683 | 3810 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 3 | 2 | 0 | 2 |
| 37 | 0 | 35 | Travel_Rarely | 890 | Sales | 2 | 3 | Marketing | 1 | 49 | 4 | Female | 97 | 3 | 1 | Sales Representative | 4 | Married | 2014 | 9687 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
| 38 | 0 | 36 | Travel_Rarely | 852 | Research & Development | 5 | 4 | Life Sciences | 1 | 51 | 2 | Female | 82 | 2 | 1 | Research Scientist | 1 | Married | 3419 | 13072 | 9 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 6 | 3 | 4 | 1 | 1 | 0 | 0 |
| 39 | 0 | 33 | Travel_Frequently | 1141 | Sales | 1 | 3 | Life Sciences | 1 | 52 | 3 | Female | 42 | 4 | 2 | Sales Executive | 1 | Married | 5376 | 3193 | 2 | Y | No | 19 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 5 | 3 | 1 | 3 |
| 40 | 0 | 35 | Travel_Rarely | 464 | Research & Development | 4 | 2 | Other | 1 | 53 | 3 | Male | 75 | 3 | 1 | Laboratory Technician | 4 | Divorced | 1951 | 10910 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 41 | 0 | 27 | Travel_Rarely | 1240 | Research & Development | 2 | 4 | Life Sciences | 1 | 54 | 4 | Female | 33 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2341 | 19715 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 1 | 6 | 3 | 1 | 0 | 0 | 0 |
| 42 | 1 | 26 | Travel_Rarely | 1357 | Research & Development | 25 | 3 | Life Sciences | 1 | 55 | 1 | Male | 48 | 1 | 1 | Laboratory Technician | 3 | Single | 2293 | 10558 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 2 | 2 | 1 | 0 | 0 | 1 |
| 43 | 0 | 27 | Travel_Frequently | 994 | Sales | 8 | 3 | Life Sciences | 1 | 56 | 4 | Male | 37 | 3 | 3 | Sales Executive | 3 | Single | 8726 | 2975 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 9 | 0 | 3 | 9 | 8 | 1 | 7 |
| 44 | 0 | 30 | Travel_Frequently | 721 | Research & Development | 1 | 2 | Medical | 1 | 57 | 3 | Female | 58 | 3 | 2 | Laboratory Technician | 4 | Single | 4011 | 10781 | 1 | Y | No | 23 | 4 | 4 | 80 | 0 | 12 | 2 | 3 | 12 | 8 | 3 | 7 |
| 45 | 1 | 41 | Travel_Rarely | 1360 | Research & Development | 12 | 3 | Technical Degree | 1 | 58 | 2 | Female | 49 | 3 | 5 | Research Director | 3 | Married | 19545 | 16280 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 23 | 0 | 3 | 22 | 15 | 15 | 8 |
| 46 | 0 | 34 | Non-Travel | 1065 | Sales | 23 | 4 | Marketing | 1 | 60 | 2 | Male | 72 | 3 | 2 | Sales Executive | 3 | Single | 4568 | 10034 | 0 | Y | No | 20 | 4 | 3 | 80 | 0 | 10 | 2 | 3 | 9 | 5 | 8 | 7 |
| 47 | 0 | 37 | Travel_Rarely | 408 | Research & Development | 19 | 2 | Life Sciences | 1 | 61 | 2 | Male | 73 | 3 | 1 | Research Scientist | 2 | Married | 3022 | 10227 | 4 | Y | No | 21 | 4 | 1 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 0 |
| 48 | 0 | 46 | Travel_Frequently | 1211 | Sales | 5 | 4 | Marketing | 1 | 62 | 1 | Male | 98 | 3 | 2 | Sales Executive | 4 | Single | 5772 | 20445 | 4 | Y | Yes | 21 | 4 | 3 | 80 | 0 | 14 | 4 | 3 | 9 | 6 | 0 | 8 |
| 49 | 0 | 35 | Travel_Rarely | 1229 | Research & Development | 8 | 1 | Life Sciences | 1 | 63 | 4 | Male | 36 | 4 | 1 | Laboratory Technician | 4 | Married | 2269 | 4892 | 1 | Y | No | 19 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 1 |
| 50 | 1 | 48 | Travel_Rarely | 626 | Research & Development | 1 | 2 | Life Sciences | 1 | 64 | 1 | Male | 98 | 2 | 3 | Laboratory Technician | 3 | Single | 5381 | 19294 | 9 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 23 | 2 | 3 | 1 | 0 | 0 | 0 |
| 51 | 1 | 28 | Travel_Rarely | 1434 | Research & Development | 5 | 4 | Technical Degree | 1 | 65 | 3 | Male | 50 | 3 | 1 | Laboratory Technician | 3 | Single | 3441 | 11179 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 2 | 2 |
| 52 | 0 | 44 | Travel_Rarely | 1488 | Sales | 1 | 5 | Marketing | 1 | 68 | 2 | Female | 75 | 3 | 2 | Sales Executive | 1 | Divorced | 5454 | 4009 | 5 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 9 | 2 | 2 | 4 | 3 | 1 | 3 |
| 53 | 0 | 35 | Non-Travel | 1097 | Research & Development | 11 | 2 | Medical | 1 | 70 | 3 | Male | 79 | 2 | 3 | Healthcare Representative | 1 | Married | 9884 | 8302 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 4 | 0 | 2 | 3 |
| 54 | 0 | 26 | Travel_Rarely | 1443 | Sales | 23 | 3 | Marketing | 1 | 72 | 3 | Female | 47 | 2 | 2 | Sales Executive | 4 | Married | 4157 | 21436 | 7 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 5 | 2 | 2 | 2 | 2 | 0 | 0 |
| 55 | 0 | 33 | Travel_Frequently | 515 | Research & Development | 1 | 2 | Life Sciences | 1 | 73 | 1 | Female | 98 | 3 | 3 | Research Director | 4 | Single | 13458 | 15146 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 15 | 1 | 3 | 15 | 14 | 8 | 12 |
| 56 | 0 | 35 | Travel_Frequently | 853 | Sales | 18 | 5 | Life Sciences | 1 | 74 | 2 | Male | 71 | 3 | 3 | Sales Executive | 1 | Married | 9069 | 11031 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 9 | 3 | 2 | 9 | 8 | 1 | 8 |
| 57 | 0 | 35 | Travel_Rarely | 1142 | Research & Development | 23 | 4 | Medical | 1 | 75 | 3 | Female | 30 | 3 | 1 | Laboratory Technician | 1 | Married | 4014 | 16002 | 3 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 2 | 2 | 2 | 2 |
| 58 | 0 | 31 | Travel_Rarely | 655 | Research & Development | 7 | 4 | Life Sciences | 1 | 76 | 4 | Male | 48 | 3 | 2 | Laboratory Technician | 4 | Divorced | 5915 | 9528 | 3 | Y | No | 22 | 4 | 4 | 80 | 1 | 10 | 3 | 2 | 7 | 7 | 1 | 7 |
| 59 | 0 | 37 | Travel_Rarely | 1115 | Research & Development | 1 | 4 | Life Sciences | 1 | 77 | 1 | Male | 51 | 2 | 2 | Manufacturing Director | 3 | Divorced | 5993 | 2689 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 7 | 2 | 4 | 7 | 5 | 0 | 7 |
| 60 | 0 | 32 | Travel_Rarely | 427 | Research & Development | 1 | 3 | Medical | 1 | 78 | 1 | Male | 33 | 3 | 2 | Manufacturing Director | 4 | Married | 6162 | 10877 | 1 | Y | Yes | 22 | 4 | 2 | 80 | 1 | 9 | 3 | 3 | 9 | 8 | 7 | 8 |
| 61 | 0 | 38 | Travel_Frequently | 653 | Research & Development | 29 | 5 | Life Sciences | 1 | 79 | 4 | Female | 50 | 3 | 2 | Laboratory Technician | 4 | Single | 2406 | 5456 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 3 | 9 | 9 |
| 62 | 0 | 50 | Travel_Rarely | 989 | Research & Development | 7 | 2 | Medical | 1 | 80 | 2 | Female | 43 | 2 | 5 | Research Director | 3 | Divorced | 18740 | 16701 | 5 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 29 | 2 | 2 | 27 | 3 | 13 | 8 |
| 63 | 0 | 59 | Travel_Rarely | 1435 | Sales | 25 | 3 | Life Sciences | 1 | 81 | 1 | Female | 99 | 3 | 3 | Sales Executive | 1 | Single | 7637 | 2354 | 7 | Y | No | 11 | 3 | 4 | 80 | 0 | 28 | 3 | 2 | 21 | 16 | 7 | 9 |
| 64 | 0 | 36 | Travel_Rarely | 1223 | Research & Development | 8 | 3 | Technical Degree | 1 | 83 | 3 | Female | 59 | 3 | 3 | Healthcare Representative | 3 | Divorced | 10096 | 8202 | 1 | Y | No | 13 | 3 | 2 | 80 | 3 | 17 | 2 | 3 | 17 | 14 | 12 | 8 |
| 65 | 0 | 55 | Travel_Rarely | 836 | Research & Development | 8 | 3 | Medical | 1 | 84 | 4 | Female | 33 | 3 | 4 | Manager | 3 | Divorced | 14756 | 19730 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 21 | 2 | 3 | 5 | 0 | 0 | 2 |
| 66 | 0 | 36 | Travel_Frequently | 1195 | Research & Development | 11 | 3 | Life Sciences | 1 | 85 | 2 | Male | 95 | 2 | 2 | Manufacturing Director | 2 | Single | 6499 | 22656 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 5 | 0 | 3 |
| 67 | 0 | 45 | Travel_Rarely | 1339 | Research & Development | 7 | 3 | Life Sciences | 1 | 86 | 2 | Male | 59 | 3 | 3 | Research Scientist | 1 | Divorced | 9724 | 18787 | 2 | Y | No | 17 | 3 | 3 | 80 | 1 | 25 | 2 | 3 | 1 | 0 | 0 | 0 |
| 68 | 0 | 35 | Travel_Frequently | 664 | Research & Development | 1 | 3 | Medical | 1 | 88 | 2 | Male | 79 | 3 | 1 | Research Scientist | 1 | Married | 2194 | 5868 | 4 | Y | No | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 2 | 3 | 2 | 1 | 2 |
| 69 | 1 | 36 | Travel_Rarely | 318 | Research & Development | 9 | 3 | Medical | 1 | 90 | 4 | Male | 79 | 2 | 1 | Research Scientist | 3 | Married | 3388 | 21777 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 2 | 0 | 2 | 1 | 0 | 0 | 0 |
| 70 | 0 | 59 | Travel_Frequently | 1225 | Sales | 1 | 1 | Life Sciences | 1 | 91 | 1 | Female | 57 | 2 | 2 | Sales Executive | 3 | Single | 5473 | 24668 | 7 | Y | No | 11 | 3 | 4 | 80 | 0 | 20 | 2 | 2 | 4 | 3 | 1 | 3 |
| 71 | 0 | 29 | Travel_Rarely | 1328 | Research & Development | 2 | 3 | Life Sciences | 1 | 94 | 3 | Male | 76 | 3 | 1 | Research Scientist | 2 | Married | 2703 | 4956 | 0 | Y | No | 23 | 4 | 4 | 80 | 1 | 6 | 3 | 3 | 5 | 4 | 0 | 4 |
| 72 | 0 | 31 | Travel_Rarely | 1082 | Research & Development | 1 | 4 | Medical | 1 | 95 | 3 | Male | 87 | 3 | 1 | Research Scientist | 2 | Single | 2501 | 18775 | 1 | Y | No | 17 | 3 | 2 | 80 | 0 | 1 | 4 | 3 | 1 | 1 | 1 | 0 |
| 73 | 0 | 32 | Travel_Rarely | 548 | Research & Development | 1 | 3 | Life Sciences | 1 | 96 | 2 | Male | 66 | 3 | 2 | Research Scientist | 2 | Married | 6220 | 7346 | 1 | Y | No | 17 | 3 | 2 | 80 | 2 | 10 | 3 | 3 | 10 | 4 | 0 | 9 |
| 74 | 0 | 36 | Travel_Rarely | 132 | Research & Development | 6 | 3 | Life Sciences | 1 | 97 | 2 | Female | 55 | 4 | 1 | Laboratory Technician | 4 | Married | 3038 | 22002 | 3 | Y | No | 12 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 1 | 0 | 0 | 0 |
| 75 | 0 | 31 | Travel_Rarely | 746 | Research & Development | 8 | 4 | Life Sciences | 1 | 98 | 3 | Female | 61 | 3 | 2 | Manufacturing Director | 4 | Single | 4424 | 20682 | 1 | Y | No | 23 | 4 | 4 | 80 | 0 | 11 | 2 | 3 | 11 | 7 | 1 | 8 |
| 76 | 0 | 35 | Travel_Rarely | 776 | Sales | 1 | 4 | Marketing | 1 | 100 | 3 | Male | 32 | 2 | 2 | Sales Executive | 1 | Single | 4312 | 23016 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 16 | 2 | 3 | 15 | 13 | 2 | 8 |
| 77 | 0 | 45 | Travel_Rarely | 193 | Research & Development | 6 | 4 | Other | 1 | 101 | 4 | Male | 52 | 3 | 3 | Research Director | 1 | Married | 13245 | 15067 | 4 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 17 | 3 | 4 | 0 | 0 | 0 | 0 |
| 78 | 0 | 37 | Travel_Rarely | 397 | Research & Development | 7 | 4 | Medical | 1 | 102 | 1 | Male | 30 | 3 | 3 | Research Director | 3 | Single | 13664 | 25258 | 4 | Y | No | 13 | 3 | 1 | 80 | 0 | 16 | 3 | 4 | 5 | 2 | 0 | 2 |
| 79 | 0 | 46 | Travel_Rarely | 945 | Human Resources | 5 | 2 | Medical | 1 | 103 | 2 | Male | 80 | 3 | 2 | Human Resources | 2 | Divorced | 5021 | 10425 | 8 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 16 | 2 | 3 | 4 | 2 | 0 | 2 |
| 80 | 0 | 30 | Travel_Rarely | 852 | Research & Development | 1 | 1 | Life Sciences | 1 | 104 | 4 | Male | 55 | 2 | 2 | Laboratory Technician | 4 | Married | 5126 | 15998 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 10 | 1 | 2 | 10 | 8 | 3 | 0 |
| 81 | 0 | 35 | Travel_Rarely | 1214 | Research & Development | 1 | 3 | Medical | 1 | 105 | 2 | Male | 30 | 2 | 1 | Research Scientist | 3 | Single | 2859 | 26278 | 1 | Y | No | 18 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 6 | 4 | 0 | 4 |
| 82 | 0 | 55 | Travel_Rarely | 111 | Sales | 1 | 2 | Life Sciences | 1 | 106 | 1 | Male | 70 | 3 | 3 | Sales Executive | 4 | Married | 10239 | 18092 | 3 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 4 | 3 | 1 | 0 | 1 | 0 |
| 83 | 0 | 38 | Non-Travel | 573 | Research & Development | 6 | 3 | Medical | 1 | 107 | 2 | Female | 79 | 1 | 2 | Research Scientist | 4 | Divorced | 5329 | 15717 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 3 | 17 | 3 | 3 | 13 | 11 | 1 | 9 |
| 84 | 0 | 34 | Travel_Rarely | 1153 | Research & Development | 1 | 2 | Medical | 1 | 110 | 1 | Male | 94 | 3 | 2 | Manufacturing Director | 2 | Married | 4325 | 17736 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 5 | 2 | 3 | 5 | 2 | 1 | 3 |
| 85 | 0 | 56 | Travel_Rarely | 1400 | Research & Development | 7 | 3 | Life Sciences | 1 | 112 | 4 | Male | 49 | 1 | 3 | Manufacturing Director | 4 | Single | 7260 | 21698 | 4 | Y | No | 11 | 3 | 1 | 80 | 0 | 37 | 3 | 2 | 6 | 4 | 0 | 2 |
| 86 | 0 | 23 | Travel_Rarely | 541 | Sales | 2 | 1 | Technical Degree | 1 | 113 | 3 | Male | 62 | 3 | 1 | Sales Representative | 1 | Divorced | 2322 | 9518 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
| 87 | 0 | 51 | Travel_Rarely | 432 | Research & Development | 9 | 4 | Life Sciences | 1 | 116 | 4 | Male | 96 | 3 | 1 | Laboratory Technician | 4 | Married | 2075 | 18725 | 3 | Y | No | 23 | 4 | 2 | 80 | 2 | 10 | 4 | 3 | 4 | 2 | 0 | 3 |
| 88 | 0 | 30 | Travel_Rarely | 288 | Research & Development | 2 | 3 | Life Sciences | 1 | 117 | 3 | Male | 99 | 2 | 2 | Healthcare Representative | 4 | Married | 4152 | 15830 | 1 | Y | No | 19 | 3 | 1 | 80 | 3 | 11 | 3 | 3 | 11 | 10 | 10 | 8 |
| 89 | 1 | 46 | Travel_Rarely | 669 | Sales | 9 | 2 | Medical | 1 | 118 | 3 | Male | 64 | 2 | 3 | Sales Executive | 4 | Single | 9619 | 13596 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 8 | 4 | 7 |
| 90 | 0 | 40 | Travel_Frequently | 530 | Research & Development | 1 | 4 | Life Sciences | 1 | 119 | 3 | Male | 78 | 2 | 4 | Healthcare Representative | 2 | Married | 13503 | 14115 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 22 | 3 | 2 | 22 | 3 | 11 | 11 |
| 91 | 0 | 51 | Travel_Rarely | 632 | Sales | 21 | 4 | Marketing | 1 | 120 | 3 | Male | 71 | 3 | 2 | Sales Executive | 4 | Single | 5441 | 8423 | 0 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 11 | 2 | 1 | 10 | 7 | 1 | 0 |
| 92 | 0 | 30 | Travel_Rarely | 1334 | Sales | 4 | 2 | Medical | 1 | 121 | 3 | Female | 63 | 2 | 2 | Sales Executive | 2 | Divorced | 5209 | 19760 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 3 | 11 | 4 | 2 | 11 | 8 | 2 | 7 |
| 93 | 0 | 46 | Travel_Frequently | 638 | Research & Development | 1 | 3 | Medical | 1 | 124 | 3 | Male | 40 | 2 | 3 | Healthcare Representative | 1 | Married | 10673 | 3142 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 21 | 5 | 2 | 10 | 9 | 9 | 5 |
| 94 | 0 | 32 | Travel_Rarely | 1093 | Sales | 6 | 4 | Medical | 1 | 125 | 2 | Male | 87 | 3 | 2 | Sales Executive | 3 | Single | 5010 | 24301 | 1 | Y | No | 16 | 3 | 1 | 80 | 0 | 12 | 0 | 3 | 11 | 8 | 5 | 7 |
| 95 | 0 | 54 | Travel_Rarely | 1217 | Research & Development | 2 | 4 | Technical Degree | 1 | 126 | 1 | Female | 60 | 3 | 3 | Research Director | 3 | Married | 13549 | 24001 | 9 | Y | No | 12 | 3 | 1 | 80 | 1 | 16 | 5 | 1 | 4 | 3 | 0 | 3 |
| 96 | 0 | 24 | Travel_Rarely | 1353 | Sales | 3 | 2 | Other | 1 | 128 | 1 | Female | 33 | 3 | 2 | Sales Executive | 3 | Married | 4999 | 17519 | 0 | Y | No | 21 | 4 | 1 | 80 | 1 | 4 | 2 | 2 | 3 | 2 | 0 | 2 |
| 97 | 0 | 28 | Non-Travel | 120 | Sales | 4 | 3 | Medical | 1 | 129 | 2 | Male | 43 | 3 | 2 | Sales Executive | 3 | Married | 4221 | 8863 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 5 | 3 | 4 | 5 | 4 | 0 | 4 |
| 98 | 0 | 58 | Travel_Rarely | 682 | Sales | 10 | 4 | Medical | 1 | 131 | 4 | Male | 37 | 3 | 4 | Sales Executive | 3 | Single | 13872 | 24409 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 38 | 1 | 2 | 37 | 10 | 1 | 8 |
| 99 | 0 | 44 | Non-Travel | 489 | Research & Development | 23 | 3 | Medical | 1 | 132 | 2 | Male | 67 | 3 | 2 | Laboratory Technician | 2 | Married | 2042 | 25043 | 4 | Y | No | 12 | 3 | 3 | 80 | 1 | 17 | 3 | 4 | 3 | 2 | 1 | 2 |
| 100 | 1 | 37 | Travel_Rarely | 807 | Human Resources | 6 | 4 | Human Resources | 1 | 133 | 3 | Male | 63 | 3 | 1 | Human Resources | 1 | Divorced | 2073 | 23648 | 4 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 7 | 3 | 3 | 3 | 2 | 0 | 2 |
| 101 | 0 | 32 | Travel_Rarely | 827 | Research & Development | 1 | 1 | Life Sciences | 1 | 134 | 4 | Male | 71 | 3 | 1 | Research Scientist | 1 | Single | 2956 | 15178 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 102 | 1 | 20 | Travel_Frequently | 871 | Research & Development | 6 | 3 | Life Sciences | 1 | 137 | 4 | Female | 66 | 2 | 1 | Laboratory Technician | 4 | Single | 2926 | 19783 | 1 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 1 | 0 |
| 103 | 0 | 34 | Travel_Rarely | 665 | Research & Development | 6 | 4 | Other | 1 | 138 | 1 | Female | 41 | 3 | 2 | Research Scientist | 3 | Single | 4809 | 12482 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 16 | 3 | 3 | 16 | 13 | 2 | 10 |
| 104 | 0 | 37 | Non-Travel | 1040 | Research & Development | 2 | 2 | Life Sciences | 1 | 139 | 3 | Male | 100 | 2 | 2 | Healthcare Representative | 4 | Divorced | 5163 | 15850 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 17 | 2 | 4 | 1 | 0 | 0 | 0 |
| 105 | 0 | 59 | Non-Travel | 1420 | Human Resources | 2 | 4 | Human Resources | 1 | 140 | 3 | Female | 32 | 2 | 5 | Manager | 4 | Married | 18844 | 21922 | 9 | Y | No | 21 | 4 | 4 | 80 | 1 | 30 | 3 | 3 | 3 | 2 | 2 | 2 |
| 106 | 0 | 50 | Travel_Frequently | 1115 | Research & Development | 1 | 3 | Life Sciences | 1 | 141 | 1 | Female | 73 | 3 | 5 | Research Director | 2 | Married | 18172 | 9755 | 3 | Y | Yes | 19 | 3 | 1 | 80 | 0 | 28 | 1 | 2 | 8 | 3 | 0 | 7 |
| 107 | 1 | 25 | Travel_Rarely | 240 | Sales | 5 | 3 | Marketing | 1 | 142 | 3 | Male | 46 | 2 | 2 | Sales Executive | 3 | Single | 5744 | 26959 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 1 | 3 | 6 | 4 | 0 | 3 |
| 108 | 0 | 25 | Travel_Rarely | 1280 | Research & Development | 7 | 1 | Medical | 1 | 143 | 4 | Male | 64 | 2 | 1 | Research Scientist | 4 | Married | 2889 | 26897 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 1 |
| 109 | 0 | 22 | Travel_Rarely | 534 | Research & Development | 15 | 3 | Medical | 1 | 144 | 2 | Female | 59 | 3 | 1 | Laboratory Technician | 4 | Single | 2871 | 23785 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 1 | 5 | 3 | 0 | 0 | 0 | 0 |
| 110 | 0 | 51 | Travel_Frequently | 1456 | Research & Development | 1 | 4 | Medical | 1 | 145 | 1 | Female | 30 | 2 | 3 | Healthcare Representative | 1 | Single | 7484 | 25796 | 3 | Y | No | 20 | 4 | 3 | 80 | 0 | 23 | 1 | 2 | 13 | 12 | 12 | 8 |
| 111 | 1 | 34 | Travel_Frequently | 658 | Research & Development | 7 | 3 | Life Sciences | 1 | 147 | 1 | Male | 66 | 1 | 2 | Laboratory Technician | 3 | Single | 6074 | 22887 | 1 | Y | Yes | 24 | 4 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 7 | 0 | 6 |
| 112 | 0 | 54 | Non-Travel | 142 | Human Resources | 26 | 3 | Human Resources | 1 | 148 | 4 | Female | 30 | 4 | 4 | Manager | 4 | Single | 17328 | 13871 | 2 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 23 | 3 | 3 | 5 | 3 | 4 | 4 |
| 113 | 0 | 24 | Travel_Rarely | 1127 | Research & Development | 18 | 1 | Life Sciences | 1 | 150 | 2 | Male | 52 | 3 | 1 | Laboratory Technician | 3 | Married | 2774 | 13257 | 0 | Y | No | 12 | 3 | 3 | 80 | 1 | 6 | 2 | 3 | 5 | 3 | 1 | 2 |
| 114 | 0 | 34 | Travel_Rarely | 1031 | Research & Development | 6 | 4 | Life Sciences | 1 | 151 | 3 | Female | 45 | 2 | 2 | Research Scientist | 2 | Divorced | 4505 | 15000 | 6 | Y | No | 15 | 3 | 3 | 80 | 1 | 12 | 3 | 3 | 1 | 0 | 0 | 0 |
| 115 | 0 | 37 | Travel_Rarely | 1189 | Sales | 3 | 3 | Life Sciences | 1 | 152 | 3 | Male | 87 | 3 | 3 | Sales Executive | 4 | Single | 7428 | 14506 | 2 | Y | No | 12 | 3 | 1 | 80 | 0 | 12 | 3 | 3 | 5 | 3 | 1 | 3 |
| 116 | 0 | 34 | Travel_Rarely | 1354 | Research & Development | 5 | 3 | Medical | 1 | 153 | 3 | Female | 45 | 2 | 3 | Manager | 1 | Single | 11631 | 5615 | 2 | Y | No | 12 | 3 | 4 | 80 | 0 | 14 | 6 | 3 | 11 | 10 | 5 | 8 |
| 117 | 0 | 36 | Travel_Frequently | 1467 | Sales | 11 | 2 | Technical Degree | 1 | 154 | 2 | Female | 92 | 3 | 3 | Sales Executive | 4 | Married | 9738 | 22952 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 10 | 6 | 3 | 9 | 7 | 2 | 8 |
| 118 | 0 | 36 | Travel_Rarely | 922 | Research & Development | 3 | 2 | Life Sciences | 1 | 155 | 1 | Female | 39 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2835 | 2561 | 5 | Y | No | 22 | 4 | 1 | 80 | 1 | 7 | 2 | 3 | 1 | 0 | 0 | 0 |
| 119 | 0 | 43 | Travel_Frequently | 394 | Sales | 26 | 2 | Life Sciences | 1 | 158 | 3 | Male | 92 | 3 | 4 | Manager | 4 | Married | 16959 | 19494 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 25 | 3 | 4 | 25 | 12 | 4 | 12 |
| 120 | 0 | 30 | Travel_Frequently | 1312 | Research & Development | 23 | 3 | Life Sciences | 1 | 159 | 1 | Male | 96 | 1 | 1 | Research Scientist | 3 | Divorced | 2613 | 22310 | 1 | Y | No | 25 | 4 | 3 | 80 | 3 | 10 | 2 | 2 | 10 | 7 | 0 | 9 |
| 121 | 0 | 33 | Non-Travel | 750 | Sales | 22 | 2 | Marketing | 1 | 160 | 3 | Male | 95 | 3 | 2 | Sales Executive | 2 | Married | 6146 | 15480 | 0 | Y | No | 13 | 3 | 1 | 80 | 1 | 8 | 2 | 4 | 7 | 7 | 0 | 7 |
| 122 | 1 | 56 | Travel_Rarely | 441 | Research & Development | 14 | 4 | Life Sciences | 1 | 161 | 2 | Female | 72 | 3 | 1 | Research Scientist | 2 | Married | 4963 | 4510 | 9 | Y | Yes | 18 | 3 | 1 | 80 | 3 | 7 | 2 | 3 | 5 | 4 | 4 | 3 |
| 123 | 0 | 51 | Travel_Rarely | 684 | Research & Development | 6 | 3 | Life Sciences | 1 | 162 | 1 | Male | 51 | 3 | 5 | Research Director | 3 | Single | 19537 | 6462 | 7 | Y | No | 13 | 3 | 3 | 80 | 0 | 23 | 5 | 3 | 20 | 18 | 15 | 15 |
| 124 | 1 | 31 | Travel_Rarely | 249 | Sales | 6 | 4 | Life Sciences | 1 | 163 | 2 | Male | 76 | 1 | 2 | Sales Executive | 3 | Married | 6172 | 20739 | 4 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 12 | 3 | 2 | 7 | 7 | 7 | 7 |
| 125 | 0 | 26 | Travel_Rarely | 841 | Research & Development | 6 | 3 | Other | 1 | 164 | 3 | Female | 46 | 2 | 1 | Research Scientist | 2 | Married | 2368 | 23300 | 1 | Y | No | 19 | 3 | 3 | 80 | 0 | 5 | 3 | 2 | 5 | 4 | 4 | 3 |
| 126 | 1 | 58 | Travel_Rarely | 147 | Research & Development | 23 | 4 | Medical | 1 | 165 | 4 | Female | 94 | 3 | 3 | Healthcare Representative | 4 | Married | 10312 | 3465 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 40 | 3 | 2 | 40 | 10 | 15 | 6 |
| 127 | 1 | 19 | Travel_Rarely | 528 | Sales | 22 | 1 | Marketing | 1 | 167 | 4 | Male | 50 | 3 | 1 | Sales Representative | 3 | Single | 1675 | 26820 | 1 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 |
| 128 | 0 | 22 | Travel_Rarely | 594 | Research & Development | 2 | 1 | Technical Degree | 1 | 169 | 3 | Male | 100 | 3 | 1 | Laboratory Technician | 4 | Married | 2523 | 19299 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 2 | 1 | 2 | 1 |
| 129 | 0 | 49 | Travel_Rarely | 470 | Research & Development | 20 | 4 | Medical | 1 | 170 | 3 | Female | 96 | 3 | 2 | Manufacturing Director | 1 | Married | 6567 | 5549 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 16 | 2 | 2 | 15 | 11 | 5 | 11 |
| 130 | 0 | 43 | Travel_Frequently | 957 | Research & Development | 28 | 3 | Medical | 1 | 171 | 2 | Female | 72 | 4 | 1 | Research Scientist | 3 | Single | 4739 | 16090 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 3 | 2 | 1 | 2 |
| 131 | 0 | 50 | Travel_Frequently | 809 | Sales | 12 | 3 | Marketing | 1 | 174 | 3 | Female | 77 | 3 | 3 | Sales Executive | 4 | Single | 9208 | 6645 | 4 | Y | No | 11 | 3 | 4 | 80 | 0 | 16 | 3 | 3 | 2 | 2 | 2 | 1 |
| 132 | 1 | 31 | Travel_Rarely | 542 | Sales | 20 | 3 | Life Sciences | 1 | 175 | 2 | Female | 71 | 1 | 2 | Sales Executive | 3 | Married | 4559 | 24788 | 3 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
| 133 | 0 | 41 | Travel_Rarely | 802 | Sales | 9 | 1 | Life Sciences | 1 | 176 | 3 | Male | 96 | 3 | 3 | Sales Executive | 3 | Divorced | 8189 | 21196 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 12 | 2 | 3 | 9 | 7 | 0 | 7 |
| 134 | 0 | 26 | Travel_Rarely | 1355 | Human Resources | 25 | 1 | Life Sciences | 1 | 177 | 3 | Female | 61 | 3 | 1 | Human Resources | 3 | Married | 2942 | 8916 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 5 | 7 |
| 135 | 0 | 36 | Travel_Rarely | 216 | Research & Development | 6 | 2 | Medical | 1 | 178 | 2 | Male | 84 | 3 | 2 | Manufacturing Director | 2 | Divorced | 4941 | 2819 | 6 | Y | No | 20 | 4 | 4 | 80 | 2 | 7 | 0 | 3 | 3 | 2 | 0 | 1 |
| 136 | 1 | 51 | Travel_Frequently | 1150 | Research & Development | 8 | 4 | Life Sciences | 1 | 179 | 1 | Male | 53 | 1 | 3 | Manufacturing Director | 4 | Single | 10650 | 25150 | 2 | Y | No | 15 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 4 | 2 | 0 | 3 |
| 137 | 0 | 39 | Travel_Rarely | 1329 | Sales | 4 | 4 | Life Sciences | 1 | 182 | 4 | Female | 47 | 2 | 2 | Sales Executive | 3 | Married | 5902 | 14590 | 4 | Y | No | 14 | 3 | 3 | 80 | 1 | 17 | 1 | 4 | 15 | 11 | 5 | 9 |
| 138 | 0 | 25 | Travel_Rarely | 959 | Sales | 28 | 3 | Life Sciences | 1 | 183 | 1 | Male | 41 | 2 | 2 | Sales Executive | 3 | Married | 8639 | 24835 | 2 | Y | No | 18 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 139 | 0 | 30 | Travel_Rarely | 1240 | Human Resources | 9 | 3 | Human Resources | 1 | 184 | 3 | Male | 48 | 3 | 2 | Human Resources | 4 | Married | 6347 | 13982 | 0 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 12 | 2 | 1 | 11 | 9 | 4 | 7 |
| 140 | 1 | 32 | Travel_Rarely | 1033 | Research & Development | 9 | 3 | Medical | 1 | 190 | 1 | Female | 41 | 3 | 1 | Laboratory Technician | 1 | Single | 4200 | 10224 | 7 | Y | No | 22 | 4 | 1 | 80 | 0 | 10 | 2 | 4 | 5 | 4 | 0 | 4 |
| 141 | 0 | 45 | Travel_Rarely | 1316 | Research & Development | 29 | 3 | Medical | 1 | 192 | 3 | Male | 83 | 3 | 1 | Research Scientist | 4 | Single | 3452 | 9752 | 5 | Y | No | 13 | 3 | 2 | 80 | 0 | 9 | 2 | 2 | 6 | 5 | 0 | 3 |
| 142 | 0 | 38 | Travel_Rarely | 364 | Research & Development | 3 | 5 | Technical Degree | 1 | 193 | 4 | Female | 32 | 3 | 2 | Research Scientist | 3 | Single | 4317 | 2302 | 3 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 19 | 2 | 3 | 3 | 2 | 2 | 2 |
| 143 | 0 | 30 | Travel_Rarely | 438 | Research & Development | 18 | 3 | Life Sciences | 1 | 194 | 1 | Female | 75 | 3 | 1 | Research Scientist | 3 | Single | 2632 | 23910 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 5 | 4 | 2 | 5 | 4 | 0 | 4 |
| 144 | 0 | 32 | Travel_Frequently | 689 | Sales | 9 | 2 | Medical | 1 | 195 | 4 | Male | 35 | 1 | 2 | Sales Executive | 4 | Divorced | 4668 | 22812 | 0 | Y | No | 17 | 3 | 4 | 80 | 3 | 9 | 2 | 4 | 8 | 7 | 0 | 7 |
| 145 | 0 | 30 | Travel_Rarely | 201 | Research & Development | 5 | 3 | Technical Degree | 1 | 197 | 4 | Female | 84 | 3 | 1 | Research Scientist | 1 | Divorced | 3204 | 10415 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 8 | 3 | 3 | 3 | 2 | 2 | 2 |
| 146 | 0 | 30 | Travel_Rarely | 1427 | Research & Development | 2 | 1 | Medical | 1 | 198 | 2 | Male | 35 | 2 | 1 | Laboratory Technician | 4 | Single | 2720 | 11162 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 5 | 3 | 1 | 2 |
| 147 | 0 | 41 | Travel_Frequently | 857 | Research & Development | 10 | 3 | Life Sciences | 1 | 199 | 4 | Male | 91 | 2 | 4 | Manager | 1 | Divorced | 17181 | 12888 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 21 | 2 | 2 | 7 | 6 | 7 | 7 |
| 148 | 0 | 41 | Travel_Rarely | 933 | Research & Development | 9 | 4 | Life Sciences | 1 | 200 | 3 | Male | 94 | 3 | 1 | Laboratory Technician | 1 | Married | 2238 | 6961 | 2 | Y | No | 21 | 4 | 4 | 80 | 1 | 7 | 2 | 3 | 5 | 0 | 1 | 4 |
| 149 | 0 | 19 | Travel_Rarely | 1181 | Research & Development | 3 | 1 | Medical | 1 | 201 | 2 | Female | 79 | 3 | 1 | Laboratory Technician | 2 | Single | 1483 | 16102 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 150 | 0 | 40 | Travel_Frequently | 1395 | Research & Development | 26 | 3 | Medical | 1 | 202 | 2 | Female | 54 | 3 | 2 | Research Scientist | 2 | Divorced | 5605 | 8504 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 20 | 2 | 3 | 20 | 7 | 2 | 13 |
| 151 | 0 | 35 | Travel_Rarely | 662 | Sales | 1 | 5 | Marketing | 1 | 204 | 3 | Male | 94 | 3 | 3 | Sales Executive | 2 | Married | 7295 | 11439 | 1 | Y | No | 13 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 10 | 8 | 0 | 6 |
| 152 | 0 | 53 | Travel_Rarely | 1436 | Sales | 6 | 2 | Marketing | 1 | 205 | 2 | Male | 34 | 3 | 2 | Sales Representative | 3 | Married | 2306 | 16047 | 2 | Y | Yes | 20 | 4 | 4 | 80 | 1 | 13 | 3 | 1 | 7 | 7 | 4 | 5 |
| 153 | 0 | 45 | Travel_Rarely | 194 | Research & Development | 9 | 3 | Life Sciences | 1 | 206 | 2 | Male | 60 | 3 | 2 | Laboratory Technician | 2 | Divorced | 2348 | 10901 | 8 | Y | No | 18 | 3 | 3 | 80 | 1 | 20 | 2 | 1 | 17 | 9 | 0 | 15 |
| 154 | 0 | 32 | Travel_Frequently | 967 | Sales | 8 | 3 | Marketing | 1 | 207 | 2 | Female | 43 | 3 | 3 | Sales Executive | 4 | Single | 8998 | 15589 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 9 | 2 | 3 | 9 | 8 | 3 | 7 |
| 155 | 0 | 29 | Non-Travel | 1496 | Research & Development | 1 | 1 | Technical Degree | 1 | 208 | 4 | Male | 41 | 3 | 2 | Manufacturing Director | 3 | Married | 4319 | 26283 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 1 | 3 | 10 | 7 | 0 | 9 |
| 156 | 0 | 51 | Travel_Rarely | 1169 | Research & Development | 7 | 4 | Medical | 1 | 211 | 2 | Male | 34 | 2 | 2 | Manufacturing Director | 3 | Married | 6132 | 13983 | 2 | Y | No | 17 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 1 | 0 | 0 | 0 |
| 157 | 0 | 58 | Travel_Rarely | 1145 | Research & Development | 9 | 3 | Medical | 1 | 214 | 2 | Female | 75 | 2 | 1 | Research Scientist | 2 | Married | 3346 | 11873 | 4 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 9 | 3 | 2 | 1 | 0 | 0 | 0 |
| 158 | 0 | 40 | Travel_Rarely | 630 | Sales | 4 | 4 | Marketing | 1 | 215 | 3 | Male | 67 | 2 | 3 | Sales Executive | 4 | Married | 10855 | 8552 | 7 | Y | No | 11 | 3 | 1 | 80 | 1 | 15 | 2 | 2 | 12 | 11 | 2 | 11 |
| 159 | 0 | 34 | Travel_Frequently | 303 | Sales | 2 | 4 | Marketing | 1 | 216 | 3 | Female | 75 | 3 | 1 | Sales Representative | 3 | Married | 2231 | 11314 | 6 | Y | No | 18 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 4 | 3 | 1 | 2 |
| 160 | 0 | 22 | Travel_Rarely | 1256 | Research & Development | 19 | 1 | Medical | 1 | 217 | 3 | Male | 80 | 3 | 1 | Research Scientist | 4 | Married | 2323 | 11992 | 1 | Y | No | 24 | 4 | 1 | 80 | 2 | 2 | 6 | 3 | 2 | 2 | 2 | 2 |
| 161 | 0 | 27 | Non-Travel | 691 | Research & Development | 9 | 3 | Medical | 1 | 218 | 4 | Male | 57 | 3 | 1 | Research Scientist | 2 | Divorced | 2024 | 5970 | 6 | Y | No | 18 | 3 | 4 | 80 | 1 | 6 | 1 | 1 | 2 | 2 | 2 | 2 |
| 162 | 0 | 28 | Travel_Rarely | 440 | Research & Development | 21 | 3 | Medical | 1 | 221 | 3 | Male | 42 | 3 | 1 | Research Scientist | 4 | Married | 2713 | 6672 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 2 | 1 | 5 | 2 | 0 | 2 |
| 163 | 0 | 57 | Travel_Rarely | 334 | Research & Development | 24 | 2 | Life Sciences | 1 | 223 | 3 | Male | 83 | 4 | 3 | Healthcare Representative | 4 | Divorced | 9439 | 23402 | 3 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 12 | 2 | 1 | 5 | 3 | 1 | 4 |
| 164 | 0 | 27 | Non-Travel | 1450 | Research & Development | 3 | 3 | Medical | 1 | 224 | 3 | Male | 79 | 2 | 1 | Research Scientist | 3 | Divorced | 2566 | 25326 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 1 | 2 | 2 | 1 | 1 | 0 | 1 |
| 165 | 0 | 50 | Travel_Rarely | 1452 | Research & Development | 11 | 3 | Life Sciences | 1 | 226 | 3 | Female | 53 | 3 | 5 | Manager | 2 | Single | 19926 | 17053 | 3 | Y | No | 15 | 3 | 2 | 80 | 0 | 21 | 5 | 3 | 5 | 4 | 4 | 4 |
| 166 | 0 | 41 | Travel_Rarely | 465 | Research & Development | 14 | 3 | Life Sciences | 1 | 227 | 1 | Male | 56 | 3 | 1 | Research Scientist | 3 | Divorced | 2451 | 4609 | 4 | Y | No | 12 | 3 | 1 | 80 | 1 | 13 | 2 | 3 | 9 | 8 | 1 | 8 |
| 167 | 0 | 30 | Travel_Rarely | 1339 | Sales | 5 | 3 | Life Sciences | 1 | 228 | 2 | Female | 41 | 3 | 3 | Sales Executive | 4 | Married | 9419 | 8053 | 2 | Y | No | 12 | 3 | 3 | 80 | 1 | 12 | 2 | 3 | 10 | 9 | 7 | 4 |
| 168 | 0 | 38 | Travel_Rarely | 702 | Sales | 1 | 4 | Life Sciences | 1 | 230 | 1 | Female | 59 | 2 | 2 | Sales Executive | 4 | Single | 8686 | 12930 | 4 | Y | No | 22 | 4 | 3 | 80 | 0 | 12 | 2 | 4 | 8 | 3 | 0 | 7 |
| 169 | 0 | 32 | Travel_Rarely | 120 | Research & Development | 6 | 5 | Life Sciences | 1 | 231 | 3 | Male | 43 | 3 | 1 | Research Scientist | 3 | Single | 3038 | 12430 | 3 | Y | No | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 5 | 4 | 1 | 4 |
| 170 | 0 | 27 | Travel_Rarely | 1157 | Research & Development | 17 | 3 | Technical Degree | 1 | 233 | 3 | Male | 51 | 3 | 1 | Research Scientist | 2 | Married | 3058 | 13364 | 0 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 3 | 2 | 5 | 2 | 1 | 1 |
| 171 | 1 | 19 | Travel_Frequently | 602 | Sales | 1 | 1 | Technical Degree | 1 | 235 | 3 | Female | 100 | 1 | 1 | Sales Representative | 1 | Single | 2325 | 20989 | 0 | Y | No | 21 | 4 | 1 | 80 | 0 | 1 | 5 | 4 | 0 | 0 | 0 | 0 |
| 172 | 0 | 36 | Travel_Frequently | 1480 | Research & Development | 3 | 2 | Medical | 1 | 238 | 4 | Male | 30 | 3 | 1 | Laboratory Technician | 2 | Single | 2088 | 15062 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 13 | 3 | 2 | 8 | 7 | 7 | 2 |
| 173 | 0 | 30 | Non-Travel | 111 | Research & Development | 9 | 3 | Medical | 1 | 239 | 3 | Male | 66 | 3 | 2 | Laboratory Technician | 1 | Divorced | 3072 | 11012 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 12 | 4 | 3 | 12 | 9 | 6 | 10 |
| 174 | 0 | 45 | Travel_Rarely | 1268 | Sales | 4 | 2 | Life Sciences | 1 | 240 | 3 | Female | 30 | 3 | 2 | Sales Executive | 1 | Divorced | 5006 | 6319 | 4 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 9 | 3 | 4 | 5 | 4 | 0 | 3 |
| 175 | 0 | 56 | Travel_Rarely | 713 | Research & Development | 8 | 3 | Life Sciences | 1 | 241 | 3 | Female | 67 | 3 | 1 | Research Scientist | 1 | Divorced | 4257 | 13939 | 4 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 19 | 3 | 3 | 2 | 2 | 2 | 2 |
| 176 | 0 | 33 | Travel_Rarely | 134 | Research & Development | 2 | 3 | Life Sciences | 1 | 242 | 3 | Male | 90 | 3 | 1 | Research Scientist | 4 | Single | 2500 | 10515 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 2 | 4 | 3 | 1 | 0 | 2 |
| 177 | 1 | 19 | Travel_Rarely | 303 | Research & Development | 2 | 3 | Life Sciences | 1 | 243 | 2 | Male | 47 | 2 | 1 | Laboratory Technician | 4 | Single | 1102 | 9241 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
| 178 | 0 | 46 | Travel_Rarely | 526 | Sales | 1 | 2 | Marketing | 1 | 244 | 2 | Female | 92 | 3 | 3 | Sales Executive | 1 | Divorced | 10453 | 2137 | 1 | Y | No | 25 | 4 | 3 | 80 | 3 | 24 | 2 | 3 | 24 | 13 | 15 | 7 |
| 179 | 0 | 38 | Travel_Rarely | 1380 | Research & Development | 9 | 2 | Life Sciences | 1 | 245 | 3 | Female | 75 | 3 | 1 | Laboratory Technician | 4 | Single | 2288 | 6319 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 1 |
| 180 | 0 | 31 | Travel_Rarely | 140 | Research & Development | 12 | 1 | Medical | 1 | 246 | 3 | Female | 95 | 3 | 1 | Research Scientist | 4 | Married | 3929 | 6984 | 8 | Y | Yes | 23 | 4 | 3 | 80 | 1 | 7 | 0 | 3 | 4 | 2 | 0 | 2 |
| 181 | 0 | 34 | Travel_Rarely | 629 | Research & Development | 27 | 2 | Medical | 1 | 247 | 4 | Female | 95 | 3 | 1 | Research Scientist | 2 | Single | 2311 | 5711 | 2 | Y | No | 15 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 3 | 2 | 1 | 2 |
| 182 | 1 | 41 | Travel_Rarely | 1356 | Sales | 20 | 2 | Marketing | 1 | 248 | 2 | Female | 70 | 3 | 1 | Sales Representative | 2 | Single | 3140 | 21728 | 1 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 4 | 5 | 2 | 4 | 3 | 0 | 2 |
| 183 | 0 | 50 | Travel_Rarely | 328 | Research & Development | 1 | 3 | Medical | 1 | 249 | 3 | Male | 86 | 2 | 1 | Laboratory Technician | 3 | Married | 3690 | 3425 | 2 | Y | No | 15 | 3 | 4 | 80 | 1 | 5 | 2 | 2 | 3 | 2 | 0 | 2 |
| 184 | 0 | 53 | Travel_Rarely | 1084 | Research & Development | 13 | 2 | Medical | 1 | 250 | 4 | Female | 57 | 4 | 2 | Manufacturing Director | 1 | Divorced | 4450 | 26250 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 5 | 3 | 3 | 4 | 2 | 1 | 3 |
| 185 | 0 | 33 | Travel_Rarely | 931 | Research & Development | 14 | 3 | Medical | 1 | 252 | 4 | Female | 72 | 3 | 1 | Research Scientist | 2 | Married | 2756 | 4673 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 8 | 5 | 3 | 8 | 7 | 1 | 6 |
| 186 | 0 | 40 | Travel_Rarely | 989 | Research & Development | 4 | 1 | Medical | 1 | 253 | 4 | Female | 46 | 3 | 5 | Manager | 3 | Married | 19033 | 6499 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 21 | 2 | 3 | 20 | 8 | 9 | 9 |
| 187 | 0 | 55 | Travel_Rarely | 692 | Research & Development | 14 | 4 | Medical | 1 | 254 | 3 | Male | 61 | 4 | 5 | Research Director | 2 | Single | 18722 | 13339 | 8 | Y | No | 11 | 3 | 4 | 80 | 0 | 36 | 3 | 3 | 24 | 15 | 2 | 15 |
| 188 | 0 | 34 | Travel_Frequently | 1069 | Research & Development | 2 | 1 | Life Sciences | 1 | 256 | 4 | Male | 45 | 2 | 2 | Manufacturing Director | 3 | Married | 9547 | 14074 | 1 | Y | No | 17 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 9 | 1 | 9 |
| 189 | 0 | 51 | Travel_Rarely | 313 | Research & Development | 3 | 3 | Medical | 1 | 258 | 4 | Female | 98 | 3 | 4 | Healthcare Representative | 2 | Single | 13734 | 7192 | 3 | Y | No | 18 | 3 | 3 | 80 | 0 | 21 | 6 | 3 | 7 | 7 | 1 | 0 |
| 190 | 0 | 52 | Travel_Rarely | 699 | Research & Development | 1 | 4 | Life Sciences | 1 | 259 | 3 | Male | 65 | 2 | 5 | Manager | 3 | Married | 19999 | 5678 | 0 | Y | No | 14 | 3 | 1 | 80 | 1 | 34 | 5 | 3 | 33 | 18 | 11 | 9 |
| 191 | 0 | 27 | Travel_Rarely | 894 | Research & Development | 9 | 3 | Medical | 1 | 260 | 4 | Female | 99 | 3 | 1 | Research Scientist | 2 | Single | 2279 | 11781 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 7 | 2 | 2 | 7 | 7 | 0 | 3 |
| 192 | 1 | 35 | Travel_Rarely | 556 | Research & Development | 23 | 2 | Life Sciences | 1 | 261 | 2 | Male | 50 | 2 | 2 | Manufacturing Director | 3 | Married | 5916 | 15497 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 1 |
| 193 | 0 | 43 | Non-Travel | 1344 | Research & Development | 7 | 3 | Medical | 1 | 262 | 4 | Male | 37 | 4 | 1 | Research Scientist | 4 | Divorced | 2089 | 5228 | 4 | Y | No | 14 | 3 | 4 | 80 | 3 | 7 | 3 | 4 | 5 | 4 | 2 | 2 |
| 194 | 0 | 45 | Non-Travel | 1195 | Research & Development | 2 | 2 | Medical | 1 | 264 | 1 | Male | 65 | 2 | 4 | Manager | 4 | Married | 16792 | 20462 | 9 | Y | No | 23 | 4 | 4 | 80 | 1 | 22 | 1 | 3 | 20 | 8 | 11 | 8 |
| 195 | 0 | 37 | Travel_Rarely | 290 | Research & Development | 21 | 3 | Life Sciences | 1 | 267 | 2 | Male | 65 | 4 | 1 | Research Scientist | 1 | Married | 3564 | 22977 | 1 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 8 | 3 | 2 | 8 | 7 | 1 | 7 |
| 196 | 0 | 35 | Travel_Frequently | 138 | Research & Development | 2 | 3 | Medical | 1 | 269 | 2 | Female | 37 | 3 | 2 | Laboratory Technician | 2 | Single | 4425 | 15986 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 5 | 3 | 6 | 2 | 1 | 2 |
| 197 | 0 | 42 | Non-Travel | 926 | Research & Development | 21 | 2 | Medical | 1 | 270 | 3 | Female | 36 | 3 | 2 | Manufacturing Director | 3 | Divorced | 5265 | 16439 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 11 | 5 | 3 | 5 | 3 | 0 | 2 |
| 198 | 0 | 38 | Travel_Rarely | 1261 | Research & Development | 2 | 4 | Life Sciences | 1 | 271 | 4 | Male | 88 | 3 | 2 | Manufacturing Director | 3 | Married | 6553 | 7259 | 9 | Y | No | 14 | 3 | 2 | 80 | 0 | 14 | 3 | 3 | 1 | 0 | 0 | 0 |
| 199 | 0 | 38 | Travel_Rarely | 1084 | Research & Development | 29 | 3 | Technical Degree | 1 | 273 | 4 | Male | 54 | 3 | 2 | Manufacturing Director | 4 | Married | 6261 | 4185 | 3 | Y | No | 18 | 3 | 1 | 80 | 1 | 9 | 3 | 1 | 7 | 7 | 1 | 7 |
| 200 | 0 | 27 | Travel_Frequently | 472 | Research & Development | 1 | 1 | Technical Degree | 1 | 274 | 3 | Male | 60 | 2 | 2 | Manufacturing Director | 1 | Married | 4298 | 9679 | 5 | Y | No | 19 | 3 | 3 | 80 | 1 | 6 | 1 | 3 | 2 | 2 | 2 | 0 |
| 201 | 0 | 49 | Non-Travel | 1002 | Research & Development | 18 | 4 | Life Sciences | 1 | 275 | 4 | Male | 92 | 3 | 2 | Manufacturing Director | 4 | Divorced | 6804 | 23793 | 1 | Y | Yes | 15 | 3 | 1 | 80 | 2 | 7 | 0 | 3 | 7 | 7 | 1 | 7 |
| 202 | 0 | 34 | Travel_Frequently | 878 | Research & Development | 10 | 4 | Medical | 1 | 277 | 4 | Male | 43 | 3 | 1 | Research Scientist | 3 | Divorced | 3815 | 5972 | 1 | Y | Yes | 17 | 3 | 4 | 80 | 1 | 5 | 4 | 4 | 5 | 3 | 2 | 0 |
| 203 | 0 | 40 | Travel_Rarely | 905 | Research & Development | 19 | 2 | Medical | 1 | 281 | 3 | Male | 99 | 3 | 2 | Laboratory Technician | 4 | Married | 2741 | 16523 | 8 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 15 | 2 | 4 | 7 | 2 | 3 | 7 |
| 204 | 1 | 38 | Travel_Rarely | 1180 | Research & Development | 29 | 1 | Medical | 1 | 282 | 2 | Male | 70 | 3 | 2 | Healthcare Representative | 1 | Married | 6673 | 11354 | 7 | Y | Yes | 19 | 3 | 2 | 80 | 0 | 17 | 2 | 3 | 1 | 0 | 0 | 0 |
| 205 | 1 | 29 | Travel_Rarely | 121 | Sales | 27 | 3 | Marketing | 1 | 283 | 2 | Female | 35 | 3 | 3 | Sales Executive | 4 | Married | 7639 | 24525 | 1 | Y | No | 22 | 4 | 4 | 80 | 3 | 10 | 3 | 2 | 10 | 4 | 1 | 9 |
| 206 | 0 | 22 | Travel_Rarely | 1136 | Research & Development | 5 | 3 | Life Sciences | 1 | 284 | 4 | Male | 60 | 4 | 1 | Research Scientist | 2 | Divorced | 2328 | 12392 | 1 | Y | Yes | 16 | 3 | 1 | 80 | 1 | 4 | 2 | 2 | 4 | 2 | 2 | 2 |
| 207 | 0 | 36 | Travel_Frequently | 635 | Research & Development | 18 | 1 | Medical | 1 | 286 | 2 | Female | 73 | 3 | 1 | Laboratory Technician | 4 | Single | 2153 | 7703 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 8 | 2 | 3 | 8 | 1 | 1 | 7 |
| 208 | 0 | 40 | Non-Travel | 1151 | Research & Development | 9 | 5 | Life Sciences | 1 | 287 | 4 | Male | 63 | 2 | 2 | Healthcare Representative | 4 | Married | 4876 | 14242 | 9 | Y | No | 14 | 3 | 4 | 80 | 1 | 5 | 5 | 1 | 3 | 2 | 0 | 2 |
| 209 | 0 | 46 | Travel_Rarely | 644 | Research & Development | 1 | 4 | Medical | 1 | 288 | 4 | Male | 97 | 3 | 3 | Healthcare Representative | 1 | Divorced | 9396 | 12368 | 7 | Y | No | 16 | 3 | 3 | 80 | 1 | 17 | 3 | 3 | 4 | 2 | 0 | 3 |
| 210 | 1 | 32 | Travel_Rarely | 1045 | Sales | 4 | 4 | Medical | 1 | 291 | 4 | Male | 32 | 1 | 3 | Sales Executive | 4 | Married | 10400 | 25812 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 14 | 2 | 2 | 14 | 8 | 9 | 8 |
| 211 | 0 | 30 | Non-Travel | 829 | Research & Development | 1 | 1 | Life Sciences | 1 | 292 | 3 | Male | 88 | 2 | 3 | Manufacturing Director | 3 | Single | 8474 | 20925 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 12 | 2 | 3 | 11 | 8 | 5 | 8 |
| 212 | 0 | 27 | Travel_Frequently | 1242 | Sales | 20 | 3 | Life Sciences | 1 | 293 | 4 | Female | 90 | 3 | 2 | Sales Executive | 3 | Single | 9981 | 12916 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 2 | 3 | 7 | 7 | 0 | 7 |
| 213 | 0 | 51 | Travel_Rarely | 1469 | Research & Development | 8 | 4 | Life Sciences | 1 | 296 | 2 | Male | 81 | 2 | 3 | Research Director | 2 | Married | 12490 | 15736 | 5 | Y | No | 16 | 3 | 4 | 80 | 2 | 16 | 5 | 1 | 10 | 9 | 4 | 7 |
| 214 | 1 | 30 | Travel_Rarely | 1005 | Research & Development | 3 | 3 | Technical Degree | 1 | 297 | 4 | Female | 88 | 3 | 1 | Research Scientist | 1 | Single | 2657 | 8556 | 5 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 5 | 3 | 5 | 2 | 0 | 4 |
| 215 | 0 | 41 | Travel_Rarely | 896 | Sales | 6 | 3 | Life Sciences | 1 | 298 | 4 | Female | 75 | 3 | 3 | Manager | 4 | Single | 13591 | 14674 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 16 | 3 | 3 | 1 | 0 | 0 | 0 |
| 216 | 1 | 30 | Travel_Frequently | 334 | Sales | 26 | 4 | Marketing | 1 | 299 | 3 | Female | 52 | 2 | 2 | Sales Executive | 1 | Single | 6696 | 22967 | 5 | Y | No | 15 | 3 | 3 | 80 | 0 | 9 | 5 | 2 | 6 | 3 | 0 | 1 |
| 217 | 1 | 29 | Travel_Rarely | 992 | Research & Development | 1 | 3 | Technical Degree | 1 | 300 | 3 | Male | 85 | 3 | 1 | Research Scientist | 3 | Single | 2058 | 19757 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 1 | 2 | 6 | 2 | 1 | 5 |
| 218 | 0 | 45 | Non-Travel | 1052 | Sales | 6 | 3 | Medical | 1 | 302 | 4 | Female | 57 | 2 | 3 | Sales Executive | 4 | Single | 8865 | 16840 | 6 | Y | No | 12 | 3 | 4 | 80 | 0 | 23 | 2 | 3 | 19 | 7 | 12 | 8 |
| 219 | 0 | 54 | Travel_Rarely | 1147 | Sales | 3 | 3 | Marketing | 1 | 303 | 4 | Female | 52 | 3 | 2 | Sales Executive | 1 | Married | 5940 | 17011 | 2 | Y | No | 14 | 3 | 4 | 80 | 1 | 16 | 4 | 3 | 6 | 2 | 0 | 5 |
| 220 | 0 | 36 | Travel_Rarely | 1396 | Research & Development | 5 | 2 | Life Sciences | 1 | 304 | 4 | Male | 62 | 3 | 2 | Laboratory Technician | 2 | Single | 5914 | 9945 | 8 | Y | No | 16 | 3 | 4 | 80 | 0 | 16 | 3 | 4 | 13 | 11 | 3 | 7 |
| 221 | 0 | 33 | Travel_Rarely | 147 | Research & Development | 4 | 4 | Medical | 1 | 305 | 3 | Female | 47 | 2 | 1 | Research Scientist | 2 | Married | 2622 | 13248 | 6 | Y | No | 21 | 4 | 4 | 80 | 0 | 7 | 3 | 3 | 3 | 2 | 1 | 1 |
| 222 | 0 | 37 | Travel_Frequently | 663 | Research & Development | 11 | 3 | Other | 1 | 306 | 2 | Male | 47 | 3 | 3 | Research Director | 4 | Divorced | 12185 | 10056 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 10 | 1 | 3 | 10 | 8 | 0 | 7 |
| 223 | 0 | 38 | Travel_Rarely | 119 | Sales | 3 | 3 | Life Sciences | 1 | 307 | 1 | Male | 76 | 3 | 3 | Sales Executive | 3 | Divorced | 10609 | 9647 | 0 | Y | No | 12 | 3 | 3 | 80 | 2 | 17 | 6 | 2 | 16 | 10 | 5 | 13 |
| 224 | 0 | 31 | Non-Travel | 979 | Research & Development | 1 | 4 | Medical | 1 | 308 | 3 | Male | 90 | 1 | 2 | Manufacturing Director | 3 | Married | 4345 | 4381 | 0 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 2 | 3 | 5 | 4 | 1 | 4 |
| 225 | 0 | 59 | Travel_Rarely | 142 | Research & Development | 3 | 3 | Life Sciences | 1 | 309 | 3 | Male | 70 | 2 | 1 | Research Scientist | 4 | Married | 2177 | 8456 | 3 | Y | No | 17 | 3 | 1 | 80 | 1 | 7 | 6 | 3 | 1 | 0 | 0 | 0 |
| 226 | 0 | 37 | Travel_Frequently | 319 | Sales | 4 | 4 | Marketing | 1 | 311 | 1 | Male | 41 | 3 | 1 | Sales Representative | 4 | Divorced | 2793 | 2539 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 13 | 2 | 3 | 9 | 8 | 5 | 8 |
| 227 | 0 | 29 | Travel_Frequently | 1413 | Sales | 1 | 1 | Medical | 1 | 312 | 2 | Female | 42 | 3 | 3 | Sales Executive | 4 | Married | 7918 | 6599 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 11 | 5 | 3 | 11 | 10 | 4 | 1 |
| 228 | 0 | 35 | Travel_Frequently | 944 | Sales | 1 | 3 | Marketing | 1 | 314 | 3 | Female | 92 | 3 | 3 | Sales Executive | 3 | Single | 8789 | 9096 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 10 | 3 | 4 | 10 | 7 | 0 | 8 |
| 229 | 1 | 29 | Travel_Rarely | 896 | Research & Development | 18 | 1 | Medical | 1 | 315 | 3 | Male | 86 | 2 | 1 | Research Scientist | 4 | Single | 2389 | 14961 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 4 | 3 | 2 | 4 | 3 | 0 | 1 |
| 230 | 0 | 52 | Travel_Rarely | 1323 | Research & Development | 2 | 3 | Life Sciences | 1 | 316 | 3 | Female | 89 | 2 | 1 | Laboratory Technician | 4 | Single | 3212 | 3300 | 7 | Y | No | 15 | 3 | 2 | 80 | 0 | 6 | 3 | 2 | 2 | 2 | 2 | 2 |
| 231 | 0 | 42 | Travel_Rarely | 532 | Research & Development | 4 | 2 | Technical Degree | 1 | 319 | 3 | Male | 58 | 3 | 5 | Manager | 4 | Married | 19232 | 4933 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 22 | 3 | 3 | 22 | 17 | 11 | 15 |
| 232 | 0 | 59 | Travel_Rarely | 818 | Human Resources | 6 | 2 | Medical | 1 | 321 | 2 | Male | 52 | 3 | 1 | Human Resources | 3 | Married | 2267 | 25657 | 8 | Y | No | 17 | 3 | 4 | 80 | 0 | 7 | 2 | 2 | 2 | 2 | 2 | 2 |
| 233 | 0 | 50 | Travel_Rarely | 854 | Sales | 1 | 4 | Medical | 1 | 323 | 4 | Female | 68 | 3 | 5 | Manager | 4 | Divorced | 19517 | 24118 | 3 | Y | No | 11 | 3 | 3 | 80 | 1 | 32 | 3 | 2 | 7 | 0 | 0 | 6 |
| 234 | 1 | 33 | Travel_Rarely | 813 | Research & Development | 14 | 3 | Medical | 1 | 325 | 3 | Male | 58 | 3 | 1 | Laboratory Technician | 4 | Married | 2436 | 22149 | 5 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 8 | 2 | 1 | 5 | 4 | 0 | 4 |
| 235 | 0 | 43 | Travel_Rarely | 1034 | Sales | 16 | 3 | Marketing | 1 | 327 | 4 | Female | 80 | 3 | 4 | Manager | 4 | Married | 16064 | 7744 | 5 | Y | Yes | 22 | 4 | 3 | 80 | 1 | 22 | 3 | 3 | 17 | 13 | 1 | 9 |
| 236 | 1 | 33 | Travel_Rarely | 465 | Research & Development | 2 | 2 | Life Sciences | 1 | 328 | 1 | Female | 39 | 3 | 1 | Laboratory Technician | 1 | Married | 2707 | 21509 | 7 | Y | No | 20 | 4 | 1 | 80 | 0 | 13 | 3 | 4 | 9 | 7 | 1 | 7 |
| 237 | 0 | 52 | Non-Travel | 771 | Sales | 2 | 4 | Life Sciences | 1 | 329 | 1 | Male | 79 | 2 | 5 | Manager | 3 | Single | 19068 | 21030 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 33 | 2 | 4 | 33 | 7 | 15 | 12 |
| 238 | 0 | 32 | Travel_Rarely | 1401 | Sales | 4 | 2 | Life Sciences | 1 | 330 | 3 | Female | 56 | 3 | 1 | Sales Representative | 2 | Married | 3931 | 20990 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 6 | 5 | 3 | 4 | 3 | 1 | 2 |
| 239 | 1 | 32 | Travel_Rarely | 515 | Research & Development | 1 | 3 | Life Sciences | 1 | 331 | 4 | Male | 62 | 2 | 1 | Laboratory Technician | 3 | Single | 3730 | 9571 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 4 | 2 | 1 | 3 | 2 | 1 | 2 |
| 240 | 0 | 39 | Travel_Rarely | 1431 | Research & Development | 1 | 4 | Medical | 1 | 332 | 3 | Female | 96 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2232 | 15417 | 7 | Y | No | 14 | 3 | 3 | 80 | 3 | 7 | 1 | 3 | 3 | 2 | 1 | 2 |
| 241 | 0 | 32 | Non-Travel | 976 | Sales | 26 | 4 | Marketing | 1 | 333 | 3 | Male | 100 | 3 | 2 | Sales Executive | 4 | Married | 4465 | 12069 | 0 | Y | No | 18 | 3 | 1 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 2 | 2 |
| 242 | 0 | 41 | Travel_Rarely | 1411 | Research & Development | 19 | 2 | Life Sciences | 1 | 334 | 3 | Male | 36 | 3 | 2 | Research Scientist | 1 | Divorced | 3072 | 19877 | 2 | Y | No | 16 | 3 | 1 | 80 | 2 | 17 | 2 | 2 | 1 | 0 | 0 | 0 |
| 243 | 0 | 40 | Travel_Rarely | 1300 | Research & Development | 24 | 2 | Technical Degree | 1 | 335 | 1 | Male | 62 | 3 | 2 | Research Scientist | 4 | Divorced | 3319 | 24447 | 1 | Y | No | 17 | 3 | 1 | 80 | 2 | 9 | 3 | 3 | 9 | 8 | 4 | 7 |
| 244 | 0 | 45 | Travel_Rarely | 252 | Research & Development | 1 | 3 | Other | 1 | 336 | 3 | Male | 70 | 4 | 5 | Manager | 4 | Married | 19202 | 15970 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 25 | 2 | 3 | 24 | 0 | 1 | 7 |
| 245 | 0 | 31 | Travel_Frequently | 1327 | Research & Development | 3 | 4 | Medical | 1 | 337 | 2 | Male | 73 | 3 | 3 | Research Director | 3 | Divorced | 13675 | 13523 | 9 | Y | No | 12 | 3 | 1 | 80 | 1 | 9 | 3 | 3 | 2 | 2 | 2 | 2 |
| 246 | 0 | 33 | Travel_Rarely | 832 | Research & Development | 5 | 4 | Life Sciences | 1 | 338 | 3 | Female | 63 | 2 | 1 | Research Scientist | 4 | Married | 2911 | 14776 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 2 | 2 | 2 | 2 | 2 | 0 | 2 |
| 247 | 0 | 34 | Travel_Rarely | 470 | Research & Development | 2 | 4 | Life Sciences | 1 | 339 | 4 | Male | 84 | 2 | 2 | Manufacturing Director | 1 | Married | 5957 | 23687 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 13 | 3 | 3 | 11 | 9 | 5 | 9 |
| 248 | 0 | 37 | Travel_Rarely | 1017 | Research & Development | 1 | 2 | Medical | 1 | 340 | 3 | Female | 83 | 2 | 1 | Research Scientist | 1 | Married | 3920 | 18697 | 2 | Y | No | 14 | 3 | 1 | 80 | 1 | 17 | 2 | 2 | 3 | 1 | 0 | 2 |
| 249 | 0 | 45 | Travel_Frequently | 1199 | Research & Development | 7 | 4 | Life Sciences | 1 | 341 | 1 | Male | 77 | 4 | 2 | Manufacturing Director | 3 | Married | 6434 | 5118 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 9 | 1 | 3 | 3 | 2 | 0 | 2 |
| 250 | 1 | 37 | Travel_Frequently | 504 | Research & Development | 10 | 3 | Medical | 1 | 342 | 1 | Male | 61 | 3 | 3 | Manufacturing Director | 3 | Divorced | 10048 | 22573 | 6 | Y | No | 11 | 3 | 2 | 80 | 2 | 17 | 5 | 3 | 1 | 0 | 0 | 0 |
| 251 | 0 | 39 | Travel_Frequently | 505 | Research & Development | 2 | 4 | Technical Degree | 1 | 343 | 3 | Female | 64 | 3 | 3 | Healthcare Representative | 3 | Single | 10938 | 6420 | 0 | Y | No | 25 | 4 | 4 | 80 | 0 | 20 | 1 | 3 | 19 | 6 | 11 | 8 |
| 252 | 0 | 29 | Travel_Rarely | 665 | Research & Development | 15 | 3 | Life Sciences | 1 | 346 | 3 | Male | 60 | 3 | 1 | Research Scientist | 4 | Single | 2340 | 22673 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 6 | 1 | 3 | 6 | 5 | 1 | 5 |
| 253 | 0 | 42 | Travel_Rarely | 916 | Research & Development | 17 | 2 | Life Sciences | 1 | 347 | 4 | Female | 82 | 4 | 2 | Research Scientist | 1 | Single | 6545 | 23016 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 1 | 3 | 3 | 2 | 0 | 2 |
| 254 | 0 | 29 | Travel_Rarely | 1247 | Sales | 20 | 2 | Marketing | 1 | 349 | 4 | Male | 45 | 3 | 2 | Sales Executive | 4 | Divorced | 6931 | 10732 | 2 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 3 | 2 | 0 | 2 |
| 255 | 0 | 25 | Travel_Rarely | 685 | Research & Development | 1 | 3 | Life Sciences | 1 | 350 | 1 | Female | 62 | 3 | 2 | Manufacturing Director | 3 | Married | 4898 | 7505 | 0 | Y | No | 12 | 3 | 4 | 80 | 2 | 5 | 3 | 3 | 4 | 2 | 1 | 2 |
| 256 | 0 | 42 | Travel_Rarely | 269 | Research & Development | 2 | 3 | Medical | 1 | 351 | 4 | Female | 56 | 2 | 1 | Laboratory Technician | 1 | Divorced | 2593 | 8007 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 10 | 4 | 3 | 9 | 6 | 7 | 8 |
| 257 | 0 | 40 | Travel_Rarely | 1416 | Research & Development | 2 | 2 | Medical | 1 | 352 | 1 | Male | 49 | 3 | 5 | Research Director | 3 | Divorced | 19436 | 5949 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 22 | 5 | 3 | 21 | 7 | 3 | 9 |
| 258 | 0 | 51 | Travel_Rarely | 833 | Research & Development | 1 | 3 | Life Sciences | 1 | 353 | 3 | Male | 96 | 3 | 1 | Research Scientist | 4 | Married | 2723 | 23231 | 1 | Y | No | 11 | 3 | 2 | 80 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 0 |
| 259 | 1 | 31 | Travel_Frequently | 307 | Research & Development | 29 | 2 | Medical | 1 | 355 | 3 | Male | 71 | 2 | 1 | Laboratory Technician | 2 | Single | 3479 | 11652 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 2 | 4 | 5 | 4 | 1 | 4 |
| 260 | 0 | 32 | Travel_Frequently | 1311 | Research & Development | 7 | 3 | Life Sciences | 1 | 359 | 2 | Male | 100 | 4 | 1 | Laboratory Technician | 2 | Married | 2794 | 26062 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 5 | 3 | 1 | 5 | 1 | 0 | 3 |
| 261 | 0 | 38 | Non-Travel | 1327 | Sales | 2 | 2 | Life Sciences | 1 | 361 | 4 | Male | 39 | 2 | 2 | Sales Executive | 4 | Married | 5249 | 19682 | 3 | Y | No | 18 | 3 | 4 | 80 | 1 | 13 | 0 | 3 | 8 | 7 | 7 | 5 |
| 262 | 0 | 32 | Travel_Rarely | 128 | Research & Development | 2 | 1 | Technical Degree | 1 | 362 | 4 | Male | 84 | 2 | 2 | Laboratory Technician | 1 | Single | 2176 | 19737 | 4 | Y | No | 13 | 3 | 4 | 80 | 0 | 9 | 5 | 3 | 6 | 2 | 0 | 4 |
| 263 | 0 | 46 | Travel_Rarely | 488 | Sales | 2 | 3 | Technical Degree | 1 | 363 | 3 | Female | 75 | 1 | 4 | Manager | 2 | Married | 16872 | 14977 | 3 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 28 | 2 | 2 | 7 | 7 | 7 | 7 |
| 264 | 1 | 28 | Travel_Rarely | 529 | Research & Development | 2 | 4 | Life Sciences | 1 | 364 | 1 | Male | 79 | 3 | 1 | Laboratory Technician | 3 | Single | 3485 | 14935 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 5 | 5 | 1 | 0 | 0 | 0 | 0 |
| 265 | 0 | 29 | Travel_Rarely | 1210 | Sales | 2 | 3 | Medical | 1 | 366 | 1 | Male | 78 | 2 | 2 | Sales Executive | 2 | Married | 6644 | 3687 | 2 | Y | No | 19 | 3 | 2 | 80 | 2 | 10 | 2 | 3 | 0 | 0 | 0 | 0 |
| 266 | 0 | 31 | Travel_Rarely | 1463 | Research & Development | 23 | 3 | Medical | 1 | 367 | 2 | Male | 64 | 2 | 2 | Healthcare Representative | 4 | Married | 5582 | 14408 | 0 | Y | No | 21 | 4 | 2 | 80 | 1 | 10 | 2 | 3 | 9 | 0 | 7 | 8 |
| 267 | 0 | 25 | Non-Travel | 675 | Research & Development | 5 | 2 | Life Sciences | 1 | 369 | 2 | Male | 85 | 4 | 2 | Healthcare Representative | 1 | Divorced | 4000 | 18384 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 6 | 2 | 3 | 6 | 3 | 1 | 5 |
| 268 | 0 | 45 | Travel_Rarely | 1385 | Research & Development | 20 | 2 | Medical | 1 | 372 | 3 | Male | 79 | 3 | 4 | Healthcare Representative | 4 | Married | 13496 | 7501 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 21 | 2 | 3 | 20 | 7 | 4 | 10 |
| 269 | 0 | 36 | Travel_Rarely | 1403 | Research & Development | 6 | 3 | Life Sciences | 1 | 373 | 4 | Male | 47 | 3 | 1 | Laboratory Technician | 4 | Married | 3210 | 20251 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 16 | 4 | 3 | 15 | 13 | 10 | 11 |
| 270 | 0 | 55 | Travel_Rarely | 452 | Research & Development | 1 | 3 | Medical | 1 | 374 | 4 | Male | 81 | 3 | 5 | Manager | 1 | Single | 19045 | 18938 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 37 | 2 | 3 | 36 | 10 | 4 | 13 |
| 271 | 1 | 47 | Non-Travel | 666 | Research & Development | 29 | 4 | Life Sciences | 1 | 376 | 1 | Male | 88 | 3 | 3 | Manager | 2 | Married | 11849 | 10268 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 10 | 2 | 2 | 10 | 7 | 9 | 9 |
| 272 | 0 | 28 | Travel_Rarely | 1158 | Research & Development | 9 | 3 | Medical | 1 | 377 | 4 | Male | 94 | 3 | 1 | Research Scientist | 4 | Married | 2070 | 2613 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 5 | 3 | 2 | 5 | 2 | 0 | 4 |
| 273 | 0 | 37 | Travel_Rarely | 228 | Sales | 6 | 4 | Medical | 1 | 378 | 3 | Male | 98 | 3 | 2 | Sales Executive | 4 | Married | 6502 | 22825 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 7 | 5 | 4 | 5 | 4 | 0 | 1 |
| 274 | 0 | 21 | Travel_Rarely | 996 | Research & Development | 3 | 2 | Medical | 1 | 379 | 4 | Male | 100 | 2 | 1 | Research Scientist | 3 | Single | 3230 | 10531 | 1 | Y | No | 17 | 3 | 1 | 80 | 0 | 3 | 4 | 4 | 3 | 2 | 1 | 0 |
| 275 | 0 | 37 | Non-Travel | 728 | Research & Development | 1 | 4 | Medical | 1 | 380 | 1 | Female | 80 | 3 | 3 | Research Director | 4 | Divorced | 13603 | 11677 | 2 | Y | Yes | 18 | 3 | 1 | 80 | 2 | 15 | 2 | 3 | 5 | 2 | 0 | 2 |
| 276 | 0 | 35 | Travel_Rarely | 1315 | Research & Development | 22 | 3 | Life Sciences | 1 | 381 | 2 | Female | 71 | 4 | 3 | Manager | 2 | Divorced | 11996 | 19100 | 7 | Y | No | 18 | 3 | 2 | 80 | 1 | 10 | 6 | 2 | 7 | 7 | 6 | 2 |
| 277 | 0 | 38 | Travel_Rarely | 322 | Sales | 7 | 2 | Medical | 1 | 382 | 1 | Female | 44 | 4 | 2 | Sales Executive | 1 | Divorced | 5605 | 19191 | 1 | Y | Yes | 24 | 4 | 3 | 80 | 1 | 8 | 3 | 3 | 8 | 0 | 7 | 7 |
| 278 | 0 | 26 | Travel_Frequently | 1479 | Research & Development | 1 | 3 | Life Sciences | 1 | 384 | 3 | Female | 84 | 3 | 2 | Manufacturing Director | 2 | Divorced | 6397 | 26767 | 1 | Y | No | 20 | 4 | 1 | 80 | 1 | 6 | 6 | 1 | 6 | 5 | 1 | 4 |
| 279 | 0 | 50 | Travel_Rarely | 797 | Research & Development | 4 | 1 | Life Sciences | 1 | 385 | 1 | Male | 96 | 3 | 5 | Research Director | 2 | Divorced | 19144 | 15815 | 3 | Y | No | 14 | 3 | 1 | 80 | 2 | 28 | 4 | 2 | 10 | 4 | 1 | 6 |
| 280 | 0 | 53 | Travel_Rarely | 1070 | Research & Development | 3 | 4 | Medical | 1 | 386 | 3 | Male | 45 | 3 | 4 | Research Director | 3 | Married | 17584 | 21016 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 3 | 21 | 5 | 2 | 5 | 3 | 1 | 3 |
| 281 | 0 | 42 | Travel_Rarely | 635 | Sales | 1 | 1 | Life Sciences | 1 | 387 | 2 | Male | 99 | 3 | 2 | Sales Executive | 3 | Married | 4907 | 24532 | 1 | Y | No | 25 | 4 | 3 | 80 | 0 | 20 | 3 | 3 | 20 | 16 | 11 | 6 |
| 282 | 0 | 29 | Travel_Frequently | 442 | Sales | 2 | 2 | Life Sciences | 1 | 388 | 2 | Male | 44 | 3 | 2 | Sales Executive | 4 | Single | 4554 | 20260 | 1 | Y | No | 18 | 3 | 1 | 80 | 0 | 10 | 3 | 2 | 10 | 7 | 0 | 9 |
| 283 | 0 | 55 | Travel_Rarely | 147 | Research & Development | 20 | 2 | Technical Degree | 1 | 389 | 2 | Male | 37 | 3 | 2 | Laboratory Technician | 4 | Married | 5415 | 15972 | 3 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 12 | 4 | 3 | 10 | 7 | 0 | 8 |
| 284 | 0 | 26 | Travel_Frequently | 496 | Research & Development | 11 | 2 | Medical | 1 | 390 | 1 | Male | 60 | 3 | 2 | Healthcare Representative | 1 | Married | 4741 | 22722 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 5 | 3 | 3 | 5 | 3 | 3 | 3 |
| 285 | 0 | 37 | Travel_Rarely | 1372 | Research & Development | 1 | 3 | Life Sciences | 1 | 391 | 4 | Female | 42 | 3 | 1 | Research Scientist | 4 | Single | 2115 | 15881 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 17 | 3 | 3 | 17 | 12 | 5 | 7 |
| 286 | 1 | 44 | Travel_Frequently | 920 | Research & Development | 24 | 3 | Life Sciences | 1 | 392 | 4 | Male | 43 | 3 | 1 | Laboratory Technician | 3 | Divorced | 3161 | 19920 | 3 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 19 | 0 | 1 | 1 | 0 | 0 | 0 |
| 287 | 0 | 38 | Travel_Rarely | 688 | Research & Development | 23 | 4 | Life Sciences | 1 | 393 | 4 | Male | 82 | 3 | 2 | Healthcare Representative | 4 | Divorced | 5745 | 18899 | 9 | Y | No | 14 | 3 | 2 | 80 | 1 | 10 | 2 | 3 | 2 | 2 | 1 | 2 |
| 288 | 1 | 26 | Travel_Rarely | 1449 | Research & Development | 16 | 4 | Medical | 1 | 394 | 1 | Male | 45 | 3 | 1 | Laboratory Technician | 2 | Divorced | 2373 | 14180 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 3 | 3 | 2 | 0 | 2 |
| 289 | 0 | 28 | Travel_Rarely | 1117 | Research & Development | 8 | 2 | Life Sciences | 1 | 395 | 4 | Female | 66 | 3 | 1 | Research Scientist | 4 | Single | 3310 | 4488 | 1 | Y | No | 21 | 4 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 3 | 0 | 2 |
| 290 | 0 | 49 | Travel_Frequently | 636 | Research & Development | 10 | 4 | Life Sciences | 1 | 396 | 3 | Female | 35 | 3 | 5 | Research Director | 1 | Single | 18665 | 25594 | 9 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 22 | 4 | 3 | 3 | 2 | 1 | 2 |
| 291 | 0 | 36 | Travel_Rarely | 506 | Research & Development | 3 | 3 | Technical Degree | 1 | 397 | 3 | Male | 30 | 3 | 2 | Research Scientist | 2 | Single | 4485 | 26285 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 8 | 0 | 7 | 7 |
| 292 | 0 | 31 | Travel_Frequently | 444 | Sales | 5 | 3 | Marketing | 1 | 399 | 4 | Female | 84 | 3 | 1 | Sales Representative | 2 | Divorced | 2789 | 3909 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 2 | 5 | 2 | 2 | 2 | 2 | 2 |
| 293 | 1 | 26 | Travel_Rarely | 950 | Sales | 4 | 4 | Marketing | 1 | 401 | 4 | Male | 48 | 2 | 2 | Sales Executive | 4 | Single | 5828 | 8450 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 8 | 0 | 3 | 8 | 7 | 7 | 4 |
| 294 | 0 | 37 | Travel_Frequently | 889 | Research & Development | 9 | 3 | Medical | 1 | 403 | 2 | Male | 53 | 3 | 1 | Research Scientist | 4 | Married | 2326 | 11411 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 4 | 3 | 2 | 4 | 2 | 1 | 2 |
| 295 | 0 | 42 | Travel_Frequently | 555 | Sales | 26 | 3 | Marketing | 1 | 404 | 3 | Female | 77 | 3 | 4 | Sales Executive | 2 | Married | 13525 | 14864 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 23 | 2 | 4 | 20 | 4 | 4 | 8 |
| 296 | 1 | 18 | Travel_Rarely | 230 | Research & Development | 3 | 3 | Life Sciences | 1 | 405 | 3 | Male | 54 | 3 | 1 | Laboratory Technician | 3 | Single | 1420 | 25233 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 |
| 297 | 0 | 35 | Travel_Rarely | 1232 | Sales | 16 | 3 | Marketing | 1 | 406 | 3 | Male | 96 | 3 | 3 | Sales Executive | 2 | Married | 8020 | 5100 | 0 | Y | No | 15 | 3 | 3 | 80 | 2 | 12 | 3 | 2 | 11 | 9 | 6 | 9 |
| 298 | 0 | 36 | Travel_Frequently | 566 | Research & Development | 18 | 4 | Life Sciences | 1 | 407 | 3 | Male | 81 | 4 | 1 | Laboratory Technician | 4 | Married | 3688 | 7122 | 4 | Y | No | 18 | 3 | 4 | 80 | 2 | 4 | 2 | 3 | 1 | 0 | 0 | 0 |
| 299 | 0 | 51 | Travel_Rarely | 1302 | Research & Development | 2 | 3 | Medical | 1 | 408 | 4 | Male | 84 | 1 | 2 | Manufacturing Director | 2 | Divorced | 5482 | 16321 | 5 | Y | No | 18 | 3 | 4 | 80 | 1 | 13 | 3 | 3 | 4 | 1 | 1 | 2 |
| 300 | 0 | 41 | Travel_Rarely | 334 | Sales | 2 | 4 | Life Sciences | 1 | 410 | 4 | Male | 88 | 3 | 4 | Manager | 2 | Single | 16015 | 15896 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 22 | 2 | 3 | 22 | 10 | 0 | 4 |
| 301 | 0 | 18 | Travel_Rarely | 812 | Sales | 10 | 3 | Medical | 1 | 411 | 4 | Female | 69 | 2 | 1 | Sales Representative | 3 | Single | 1200 | 9724 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 |
| 302 | 0 | 28 | Travel_Rarely | 1476 | Research & Development | 16 | 2 | Medical | 1 | 412 | 2 | Male | 68 | 4 | 2 | Healthcare Representative | 1 | Single | 5661 | 4824 | 0 | Y | No | 19 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 8 | 3 | 0 | 7 |
| 303 | 0 | 31 | Travel_Rarely | 218 | Sales | 7 | 3 | Technical Degree | 1 | 416 | 2 | Male | 100 | 4 | 2 | Sales Executive | 4 | Married | 6929 | 12241 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 8 | 7 | 7 | 7 |
| 304 | 0 | 39 | Travel_Rarely | 1132 | Research & Development | 1 | 3 | Medical | 1 | 417 | 3 | Male | 48 | 4 | 3 | Healthcare Representative | 4 | Divorced | 9613 | 10942 | 0 | Y | No | 17 | 3 | 1 | 80 | 3 | 19 | 5 | 2 | 18 | 10 | 3 | 7 |
| 305 | 0 | 36 | Non-Travel | 1105 | Research & Development | 24 | 4 | Life Sciences | 1 | 419 | 2 | Female | 47 | 3 | 2 | Laboratory Technician | 2 | Married | 5674 | 6927 | 7 | Y | No | 15 | 3 | 3 | 80 | 1 | 11 | 3 | 3 | 9 | 8 | 0 | 8 |
| 306 | 0 | 32 | Travel_Rarely | 906 | Sales | 7 | 3 | Life Sciences | 1 | 420 | 4 | Male | 91 | 2 | 2 | Sales Executive | 3 | Married | 5484 | 16985 | 1 | Y | No | 14 | 3 | 3 | 80 | 1 | 13 | 3 | 2 | 13 | 8 | 4 | 8 |
| 307 | 0 | 38 | Travel_Rarely | 849 | Research & Development | 25 | 2 | Life Sciences | 1 | 421 | 1 | Female | 81 | 2 | 3 | Research Director | 2 | Married | 12061 | 26707 | 3 | Y | No | 17 | 3 | 3 | 80 | 1 | 19 | 2 | 3 | 10 | 8 | 0 | 1 |
| 308 | 0 | 58 | Non-Travel | 390 | Research & Development | 1 | 4 | Life Sciences | 1 | 422 | 4 | Male | 32 | 1 | 2 | Healthcare Representative | 3 | Divorced | 5660 | 17056 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 12 | 2 | 3 | 5 | 3 | 1 | 2 |
| 309 | 0 | 31 | Travel_Rarely | 691 | Research & Development | 5 | 4 | Technical Degree | 1 | 423 | 3 | Male | 86 | 3 | 1 | Research Scientist | 4 | Married | 4821 | 10077 | 0 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 6 | 4 | 3 | 5 | 2 | 0 | 3 |
| 310 | 0 | 31 | Travel_Rarely | 106 | Human Resources | 2 | 3 | Human Resources | 1 | 424 | 1 | Male | 62 | 2 | 2 | Human Resources | 1 | Married | 6410 | 17822 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 9 | 1 | 3 | 2 | 2 | 1 | 0 |
| 311 | 0 | 45 | Travel_Frequently | 1249 | Research & Development | 7 | 3 | Life Sciences | 1 | 425 | 1 | Male | 97 | 3 | 3 | Laboratory Technician | 1 | Divorced | 5210 | 20308 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 24 | 2 | 3 | 24 | 9 | 9 | 11 |
| 312 | 0 | 31 | Travel_Rarely | 192 | Research & Development | 2 | 4 | Life Sciences | 1 | 426 | 3 | Male | 32 | 3 | 1 | Research Scientist | 4 | Divorced | 2695 | 7747 | 0 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 3 | 2 | 1 | 2 | 2 | 2 | 2 |
| 313 | 0 | 33 | Travel_Frequently | 553 | Research & Development | 5 | 4 | Life Sciences | 1 | 428 | 4 | Female | 74 | 3 | 3 | Manager | 2 | Married | 11878 | 23364 | 6 | Y | No | 11 | 3 | 2 | 80 | 2 | 12 | 2 | 3 | 10 | 6 | 8 | 8 |
| 314 | 0 | 39 | Travel_Rarely | 117 | Research & Development | 10 | 1 | Medical | 1 | 429 | 3 | Male | 99 | 3 | 4 | Manager | 1 | Married | 17068 | 5355 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 21 | 3 | 3 | 21 | 9 | 11 | 10 |
| 315 | 0 | 43 | Travel_Frequently | 185 | Research & Development | 10 | 4 | Life Sciences | 1 | 430 | 3 | Female | 33 | 3 | 1 | Laboratory Technician | 4 | Single | 2455 | 10675 | 0 | Y | No | 19 | 3 | 1 | 80 | 0 | 9 | 5 | 3 | 8 | 7 | 1 | 7 |
| 316 | 0 | 49 | Travel_Rarely | 1091 | Research & Development | 1 | 2 | Technical Degree | 1 | 431 | 3 | Female | 90 | 2 | 4 | Healthcare Representative | 3 | Single | 13964 | 17810 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 25 | 2 | 3 | 7 | 1 | 0 | 7 |
| 317 | 1 | 52 | Travel_Rarely | 723 | Research & Development | 8 | 4 | Medical | 1 | 433 | 3 | Male | 85 | 2 | 2 | Research Scientist | 2 | Married | 4941 | 17747 | 2 | Y | No | 15 | 3 | 1 | 80 | 0 | 11 | 3 | 2 | 8 | 2 | 7 | 7 |
| 318 | 0 | 27 | Travel_Rarely | 1220 | Research & Development | 5 | 3 | Life Sciences | 1 | 434 | 3 | Female | 85 | 3 | 1 | Research Scientist | 2 | Single | 2478 | 20938 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 3 | 1 | 2 |
| 319 | 0 | 32 | Travel_Rarely | 588 | Sales | 8 | 2 | Technical Degree | 1 | 436 | 3 | Female | 65 | 2 | 2 | Sales Executive | 2 | Married | 5228 | 24624 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 13 | 2 | 3 | 13 | 12 | 11 | 9 |
| 320 | 0 | 27 | Travel_Rarely | 1377 | Sales | 2 | 3 | Life Sciences | 1 | 437 | 4 | Male | 74 | 3 | 2 | Sales Executive | 3 | Single | 4478 | 5242 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 4 |
| 321 | 0 | 31 | Travel_Rarely | 691 | Sales | 7 | 3 | Marketing | 1 | 438 | 4 | Male | 73 | 3 | 2 | Sales Executive | 4 | Divorced | 7547 | 7143 | 4 | Y | No | 12 | 3 | 4 | 80 | 3 | 13 | 3 | 3 | 7 | 7 | 1 | 7 |
| 322 | 0 | 32 | Travel_Rarely | 1018 | Research & Development | 2 | 4 | Medical | 1 | 439 | 1 | Female | 74 | 4 | 2 | Research Scientist | 4 | Single | 5055 | 10557 | 7 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 0 | 2 | 7 | 7 | 0 | 7 |
| 323 | 1 | 28 | Travel_Rarely | 1157 | Research & Development | 2 | 4 | Medical | 1 | 440 | 1 | Male | 84 | 1 | 1 | Research Scientist | 4 | Married | 3464 | 24737 | 5 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 5 | 4 | 2 | 3 | 2 | 2 | 2 |
| 324 | 0 | 30 | Travel_Rarely | 1275 | Research & Development | 28 | 2 | Medical | 1 | 441 | 4 | Female | 64 | 3 | 2 | Research Scientist | 4 | Married | 5775 | 11934 | 1 | Y | No | 13 | 3 | 4 | 80 | 2 | 11 | 2 | 3 | 10 | 8 | 1 | 9 |
| 325 | 0 | 31 | Travel_Frequently | 798 | Research & Development | 7 | 2 | Life Sciences | 1 | 442 | 3 | Female | 48 | 2 | 3 | Manufacturing Director | 3 | Married | 8943 | 14034 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 9 | 8 | 9 |
| 326 | 0 | 39 | Travel_Frequently | 672 | Research & Development | 7 | 2 | Medical | 1 | 444 | 3 | Male | 54 | 2 | 5 | Manager | 4 | Married | 19272 | 21141 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 21 | 2 | 3 | 21 | 9 | 13 | 3 |
| 327 | 1 | 39 | Travel_Rarely | 1162 | Sales | 3 | 2 | Medical | 1 | 445 | 4 | Female | 41 | 3 | 2 | Sales Executive | 3 | Married | 5238 | 17778 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 0 | 12 | 3 | 2 | 1 | 0 | 0 | 0 |
| 328 | 0 | 33 | Travel_Frequently | 508 | Sales | 10 | 3 | Marketing | 1 | 446 | 2 | Male | 46 | 2 | 2 | Sales Executive | 4 | Single | 4682 | 4317 | 3 | Y | No | 14 | 3 | 3 | 80 | 0 | 9 | 6 | 2 | 7 | 7 | 0 | 1 |
| 329 | 0 | 47 | Travel_Rarely | 1482 | Research & Development | 5 | 5 | Life Sciences | 1 | 447 | 4 | Male | 42 | 3 | 5 | Research Director | 3 | Married | 18300 | 16375 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 21 | 2 | 3 | 3 | 2 | 1 | 1 |
| 330 | 0 | 43 | Travel_Frequently | 559 | Research & Development | 10 | 4 | Life Sciences | 1 | 448 | 3 | Female | 82 | 2 | 2 | Laboratory Technician | 3 | Divorced | 5257 | 6227 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 9 | 3 | 4 | 9 | 7 | 0 | 0 |
| 331 | 0 | 27 | Non-Travel | 210 | Sales | 1 | 1 | Marketing | 1 | 449 | 3 | Male | 73 | 3 | 2 | Sales Executive | 2 | Married | 6349 | 22107 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 6 | 0 | 3 | 5 | 4 | 1 | 4 |
| 332 | 0 | 54 | Travel_Frequently | 928 | Research & Development | 20 | 4 | Life Sciences | 1 | 450 | 4 | Female | 31 | 3 | 2 | Research Scientist | 3 | Single | 4869 | 16885 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 4 | 2 | 4 | 3 | 0 | 3 |
| 333 | 0 | 43 | Travel_Rarely | 1001 | Research & Development | 7 | 3 | Life Sciences | 1 | 451 | 3 | Female | 43 | 3 | 3 | Healthcare Representative | 1 | Married | 9985 | 9262 | 8 | Y | No | 16 | 3 | 1 | 80 | 1 | 10 | 1 | 2 | 1 | 0 | 0 | 0 |
| 334 | 0 | 45 | Travel_Rarely | 549 | Research & Development | 8 | 4 | Other | 1 | 452 | 4 | Male | 75 | 3 | 2 | Research Scientist | 4 | Married | 3697 | 9278 | 9 | Y | No | 14 | 3 | 1 | 80 | 2 | 12 | 3 | 3 | 10 | 9 | 9 | 8 |
| 335 | 0 | 40 | Travel_Rarely | 1124 | Sales | 1 | 2 | Medical | 1 | 453 | 2 | Male | 57 | 1 | 2 | Sales Executive | 4 | Married | 7457 | 13273 | 2 | Y | Yes | 22 | 4 | 3 | 80 | 3 | 6 | 2 | 2 | 4 | 3 | 0 | 2 |
| 336 | 1 | 29 | Travel_Rarely | 318 | Research & Development | 8 | 4 | Other | 1 | 454 | 2 | Male | 77 | 1 | 1 | Laboratory Technician | 1 | Married | 2119 | 4759 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 7 | 4 | 2 | 7 | 7 | 0 | 7 |
| 337 | 0 | 29 | Travel_Rarely | 738 | Research & Development | 9 | 5 | Other | 1 | 455 | 2 | Male | 30 | 2 | 1 | Laboratory Technician | 4 | Single | 3983 | 7621 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 2 | 2 |
| 338 | 0 | 30 | Travel_Rarely | 570 | Sales | 5 | 3 | Marketing | 1 | 456 | 4 | Female | 30 | 2 | 2 | Sales Executive | 3 | Divorced | 6118 | 5431 | 1 | Y | No | 13 | 3 | 3 | 80 | 3 | 10 | 2 | 3 | 10 | 9 | 1 | 2 |
| 339 | 0 | 27 | Travel_Rarely | 1130 | Sales | 8 | 4 | Marketing | 1 | 458 | 2 | Female | 56 | 3 | 2 | Sales Executive | 2 | Married | 6214 | 3415 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 0 | 7 |
| 340 | 0 | 37 | Travel_Rarely | 1192 | Research & Development | 5 | 2 | Medical | 1 | 460 | 4 | Male | 61 | 3 | 2 | Manufacturing Director | 4 | Divorced | 6347 | 23177 | 7 | Y | No | 16 | 3 | 3 | 80 | 2 | 8 | 2 | 2 | 6 | 2 | 0 | 4 |
| 341 | 0 | 38 | Travel_Rarely | 343 | Research & Development | 15 | 2 | Life Sciences | 1 | 461 | 3 | Male | 92 | 2 | 3 | Research Director | 4 | Divorced | 11510 | 15682 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 1 | 12 | 3 | 3 | 11 | 10 | 2 | 9 |
| 342 | 0 | 31 | Travel_Rarely | 1232 | Research & Development | 7 | 4 | Medical | 1 | 462 | 3 | Female | 39 | 3 | 3 | Manufacturing Director | 4 | Single | 7143 | 25713 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 11 | 2 | 2 | 11 | 9 | 4 | 10 |
| 343 | 0 | 29 | Travel_Rarely | 144 | Sales | 10 | 1 | Marketing | 1 | 463 | 4 | Female | 39 | 2 | 2 | Sales Executive | 2 | Divorced | 8268 | 11866 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 2 | 7 | 2 | 3 | 7 | 7 | 1 | 7 |
| 344 | 0 | 35 | Travel_Rarely | 1296 | Research & Development | 5 | 4 | Technical Degree | 1 | 464 | 3 | Male | 62 | 3 | 3 | Manufacturing Director | 2 | Single | 8095 | 18264 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 17 | 5 | 3 | 16 | 6 | 0 | 13 |
| 345 | 0 | 23 | Travel_Rarely | 1309 | Research & Development | 26 | 1 | Life Sciences | 1 | 465 | 3 | Male | 83 | 3 | 1 | Research Scientist | 4 | Divorced | 2904 | 16092 | 1 | Y | No | 12 | 3 | 3 | 80 | 2 | 4 | 2 | 2 | 4 | 2 | 0 | 2 |
| 346 | 0 | 41 | Travel_Rarely | 483 | Research & Development | 6 | 3 | Medical | 1 | 466 | 4 | Male | 95 | 2 | 2 | Manufacturing Director | 2 | Single | 6032 | 10110 | 6 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 5 | 4 | 1 | 2 |
| 347 | 0 | 47 | Travel_Frequently | 1309 | Sales | 4 | 1 | Medical | 1 | 467 | 2 | Male | 99 | 3 | 2 | Sales Representative | 3 | Single | 2976 | 25751 | 3 | Y | No | 19 | 3 | 1 | 80 | 0 | 5 | 3 | 3 | 0 | 0 | 0 | 0 |
| 348 | 0 | 42 | Travel_Rarely | 810 | Research & Development | 23 | 5 | Life Sciences | 1 | 468 | 1 | Female | 44 | 3 | 4 | Research Director | 4 | Single | 15992 | 15901 | 2 | Y | No | 14 | 3 | 2 | 80 | 0 | 16 | 2 | 3 | 1 | 0 | 0 | 0 |
| 349 | 0 | 29 | Non-Travel | 746 | Sales | 2 | 3 | Life Sciences | 1 | 469 | 4 | Male | 61 | 3 | 2 | Sales Executive | 3 | Married | 4649 | 16928 | 1 | Y | No | 14 | 3 | 1 | 80 | 1 | 4 | 3 | 2 | 4 | 3 | 0 | 2 |
| 350 | 0 | 42 | Travel_Rarely | 544 | Human Resources | 2 | 1 | Technical Degree | 1 | 470 | 3 | Male | 52 | 3 | 1 | Human Resources | 3 | Divorced | 2696 | 24017 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 4 | 5 | 3 | 3 | 2 | 1 | 0 |
| 351 | 0 | 32 | Travel_Rarely | 1062 | Research & Development | 2 | 3 | Medical | 1 | 471 | 3 | Female | 75 | 3 | 1 | Laboratory Technician | 2 | Married | 2370 | 3956 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 8 | 4 | 3 | 8 | 0 | 0 | 7 |
| 352 | 0 | 48 | Travel_Rarely | 530 | Sales | 29 | 1 | Medical | 1 | 473 | 1 | Female | 91 | 3 | 3 | Manager | 3 | Married | 12504 | 23978 | 3 | Y | No | 21 | 4 | 2 | 80 | 1 | 15 | 3 | 1 | 0 | 0 | 0 | 0 |
| 353 | 0 | 37 | Travel_Rarely | 1319 | Research & Development | 6 | 3 | Medical | 1 | 474 | 3 | Male | 51 | 4 | 2 | Research Scientist | 1 | Divorced | 5974 | 17001 | 4 | Y | Yes | 13 | 3 | 1 | 80 | 2 | 13 | 2 | 3 | 7 | 7 | 6 | 7 |
| 354 | 0 | 30 | Non-Travel | 641 | Sales | 25 | 2 | Technical Degree | 1 | 475 | 4 | Female | 85 | 3 | 2 | Sales Executive | 3 | Married | 4736 | 6069 | 7 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 4 | 2 | 4 | 2 | 2 | 2 | 2 |
| 355 | 0 | 26 | Travel_Rarely | 933 | Sales | 1 | 3 | Life Sciences | 1 | 476 | 3 | Male | 57 | 3 | 2 | Sales Executive | 3 | Married | 5296 | 20156 | 1 | Y | No | 17 | 3 | 2 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 7 | 7 |
| 356 | 0 | 42 | Travel_Rarely | 1332 | Research & Development | 2 | 4 | Other | 1 | 477 | 1 | Male | 98 | 2 | 2 | Healthcare Representative | 4 | Single | 6781 | 17078 | 3 | Y | No | 23 | 4 | 2 | 80 | 0 | 14 | 6 | 3 | 1 | 0 | 0 | 0 |
| 357 | 1 | 21 | Travel_Frequently | 756 | Sales | 1 | 1 | Technical Degree | 1 | 478 | 1 | Female | 99 | 2 | 1 | Sales Representative | 2 | Single | 2174 | 9150 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 3 | 3 | 3 | 3 | 2 | 1 | 2 |
| 358 | 0 | 36 | Non-Travel | 845 | Sales | 1 | 5 | Medical | 1 | 479 | 4 | Female | 45 | 3 | 2 | Sales Executive | 4 | Single | 6653 | 15276 | 4 | Y | No | 15 | 3 | 2 | 80 | 0 | 7 | 6 | 3 | 1 | 0 | 0 | 0 |
| 359 | 0 | 36 | Travel_Frequently | 541 | Sales | 3 | 4 | Medical | 1 | 481 | 1 | Male | 48 | 2 | 3 | Sales Executive | 4 | Married | 9699 | 7246 | 4 | Y | No | 11 | 3 | 1 | 80 | 1 | 16 | 2 | 3 | 13 | 9 | 1 | 12 |
| 360 | 0 | 57 | Travel_Rarely | 593 | Research & Development | 1 | 4 | Medical | 1 | 482 | 4 | Male | 88 | 3 | 2 | Healthcare Representative | 3 | Married | 6755 | 2967 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 2 | 3 | 3 | 2 | 1 | 2 |
| 361 | 0 | 40 | Travel_Rarely | 1171 | Research & Development | 10 | 4 | Life Sciences | 1 | 483 | 4 | Female | 46 | 4 | 1 | Laboratory Technician | 3 | Married | 2213 | 22495 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 7 | 7 | 1 | 7 |
| 362 | 0 | 21 | Non-Travel | 895 | Sales | 9 | 2 | Medical | 1 | 484 | 1 | Male | 39 | 3 | 1 | Sales Representative | 4 | Single | 2610 | 2851 | 1 | Y | No | 24 | 4 | 3 | 80 | 0 | 3 | 3 | 2 | 3 | 2 | 2 | 2 |
| 363 | 1 | 33 | Travel_Rarely | 350 | Sales | 5 | 3 | Marketing | 1 | 485 | 4 | Female | 34 | 3 | 1 | Sales Representative | 3 | Single | 2851 | 9150 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 364 | 0 | 37 | Travel_Rarely | 921 | Research & Development | 10 | 3 | Medical | 1 | 486 | 3 | Female | 98 | 3 | 1 | Laboratory Technician | 1 | Married | 3452 | 17663 | 6 | Y | No | 20 | 4 | 2 | 80 | 1 | 17 | 3 | 3 | 5 | 4 | 0 | 3 |
| 365 | 0 | 46 | Non-Travel | 1144 | Research & Development | 7 | 4 | Medical | 1 | 487 | 3 | Female | 30 | 3 | 2 | Manufacturing Director | 3 | Married | 5258 | 16044 | 2 | Y | No | 14 | 3 | 3 | 80 | 0 | 7 | 2 | 4 | 1 | 0 | 0 | 0 |
| 366 | 1 | 41 | Travel_Frequently | 143 | Sales | 4 | 3 | Marketing | 1 | 488 | 1 | Male | 56 | 3 | 2 | Sales Executive | 2 | Single | 9355 | 9558 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 8 | 5 | 3 | 8 | 7 | 7 | 7 |
| 367 | 0 | 50 | Travel_Rarely | 1046 | Research & Development | 10 | 3 | Technical Degree | 1 | 491 | 4 | Male | 100 | 2 | 3 | Healthcare Representative | 4 | Single | 10496 | 2755 | 6 | Y | No | 15 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 4 | 3 | 1 | 3 |
| 368 | 1 | 40 | Travel_Rarely | 575 | Sales | 22 | 2 | Marketing | 1 | 492 | 3 | Male | 68 | 2 | 2 | Sales Executive | 3 | Married | 6380 | 6110 | 2 | Y | Yes | 12 | 3 | 1 | 80 | 2 | 8 | 6 | 3 | 6 | 4 | 1 | 0 |
| 369 | 0 | 31 | Travel_Rarely | 408 | Research & Development | 9 | 4 | Life Sciences | 1 | 493 | 3 | Male | 42 | 2 | 1 | Research Scientist | 2 | Single | 2657 | 7551 | 0 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 3 | 5 | 3 | 2 | 2 | 2 | 2 |
| 370 | 1 | 21 | Travel_Rarely | 156 | Sales | 12 | 3 | Life Sciences | 1 | 494 | 3 | Female | 90 | 4 | 1 | Sales Representative | 2 | Single | 2716 | 25422 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 1 | 0 | 3 | 1 | 0 | 0 | 0 |
| 371 | 0 | 29 | Travel_Rarely | 1283 | Research & Development | 23 | 3 | Life Sciences | 1 | 495 | 4 | Male | 54 | 3 | 1 | Research Scientist | 4 | Single | 2201 | 18168 | 9 | Y | No | 16 | 3 | 4 | 80 | 0 | 6 | 4 | 3 | 3 | 2 | 1 | 2 |
| 372 | 0 | 35 | Travel_Rarely | 755 | Research & Development | 9 | 4 | Life Sciences | 1 | 496 | 3 | Male | 97 | 2 | 2 | Healthcare Representative | 2 | Single | 6540 | 19394 | 9 | Y | No | 19 | 3 | 3 | 80 | 0 | 10 | 5 | 3 | 1 | 1 | 0 | 0 |
| 373 | 0 | 27 | Travel_Rarely | 1469 | Research & Development | 1 | 2 | Medical | 1 | 497 | 4 | Male | 82 | 3 | 1 | Laboratory Technician | 2 | Divorced | 3816 | 17881 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 2 | 3 | 5 | 2 | 0 | 4 |
| 374 | 0 | 28 | Travel_Rarely | 304 | Sales | 9 | 4 | Life Sciences | 1 | 498 | 2 | Male | 92 | 3 | 2 | Sales Executive | 4 | Single | 5253 | 20750 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 7 | 1 | 3 | 7 | 5 | 0 | 7 |
| 375 | 0 | 49 | Travel_Rarely | 1261 | Research & Development | 7 | 3 | Other | 1 | 499 | 2 | Male | 31 | 2 | 3 | Healthcare Representative | 3 | Single | 10965 | 12066 | 8 | Y | No | 24 | 4 | 3 | 80 | 0 | 26 | 2 | 3 | 5 | 2 | 0 | 0 |
| 376 | 0 | 51 | Travel_Rarely | 1178 | Sales | 14 | 2 | Life Sciences | 1 | 500 | 3 | Female | 87 | 3 | 2 | Sales Executive | 4 | Married | 4936 | 14862 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 18 | 2 | 2 | 7 | 7 | 0 | 7 |
| 377 | 0 | 36 | Travel_Rarely | 329 | Research & Development | 2 | 3 | Life Sciences | 1 | 501 | 4 | Female | 96 | 3 | 1 | Research Scientist | 3 | Married | 2543 | 11868 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 378 | 1 | 34 | Non-Travel | 1362 | Sales | 19 | 3 | Marketing | 1 | 502 | 1 | Male | 67 | 4 | 2 | Sales Executive | 4 | Single | 5304 | 4652 | 8 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 9 | 3 | 2 | 5 | 2 | 0 | 4 |
| 379 | 0 | 55 | Travel_Rarely | 1311 | Research & Development | 2 | 3 | Life Sciences | 1 | 505 | 3 | Female | 97 | 3 | 4 | Manager | 4 | Single | 16659 | 23258 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 30 | 2 | 3 | 5 | 4 | 1 | 2 |
| 380 | 0 | 24 | Travel_Rarely | 1371 | Sales | 10 | 4 | Marketing | 1 | 507 | 4 | Female | 77 | 3 | 2 | Sales Executive | 3 | Divorced | 4260 | 5915 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 5 | 2 | 4 | 5 | 2 | 0 | 3 |
| 381 | 0 | 30 | Travel_Rarely | 202 | Sales | 2 | 1 | Technical Degree | 1 | 508 | 3 | Male | 72 | 3 | 1 | Sales Representative | 2 | Married | 2476 | 17434 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 382 | 1 | 26 | Travel_Frequently | 575 | Research & Development | 3 | 1 | Technical Degree | 1 | 510 | 3 | Male | 73 | 3 | 1 | Research Scientist | 1 | Single | 3102 | 6582 | 0 | Y | No | 22 | 4 | 3 | 80 | 0 | 7 | 2 | 3 | 6 | 4 | 0 | 4 |
| 383 | 0 | 22 | Travel_Rarely | 253 | Research & Development | 11 | 3 | Medical | 1 | 511 | 1 | Female | 43 | 3 | 1 | Research Scientist | 2 | Married | 2244 | 24440 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 2 | 1 | 3 | 2 | 1 | 1 | 2 |
| 384 | 0 | 36 | Travel_Rarely | 164 | Sales | 2 | 2 | Medical | 1 | 513 | 2 | Male | 61 | 2 | 3 | Sales Executive | 3 | Married | 7596 | 3809 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 10 | 2 | 3 | 10 | 9 | 9 | 0 |
| 385 | 1 | 30 | Travel_Frequently | 464 | Research & Development | 4 | 3 | Technical Degree | 1 | 514 | 3 | Male | 40 | 3 | 1 | Research Scientist | 4 | Single | 2285 | 3427 | 9 | Y | Yes | 23 | 4 | 3 | 80 | 0 | 3 | 4 | 3 | 1 | 0 | 0 | 0 |
| 386 | 0 | 37 | Travel_Rarely | 1107 | Research & Development | 14 | 3 | Life Sciences | 1 | 515 | 4 | Female | 95 | 3 | 1 | Laboratory Technician | 1 | Divorced | 3034 | 26914 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 18 | 2 | 2 | 18 | 7 | 12 | 17 |
| 387 | 0 | 40 | Travel_Rarely | 759 | Sales | 2 | 2 | Marketing | 1 | 516 | 4 | Female | 46 | 3 | 2 | Sales Executive | 2 | Divorced | 5715 | 22553 | 7 | Y | No | 12 | 3 | 3 | 80 | 2 | 8 | 5 | 3 | 5 | 4 | 1 | 3 |
| 388 | 0 | 42 | Travel_Rarely | 201 | Research & Development | 1 | 4 | Life Sciences | 1 | 517 | 2 | Female | 95 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2576 | 20490 | 3 | Y | No | 16 | 3 | 2 | 80 | 1 | 8 | 5 | 3 | 5 | 2 | 1 | 2 |
| 389 | 0 | 37 | Travel_Rarely | 1305 | Research & Development | 10 | 4 | Life Sciences | 1 | 518 | 3 | Male | 49 | 3 | 2 | Manufacturing Director | 2 | Single | 4197 | 21123 | 2 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 18 | 2 | 2 | 1 | 0 | 0 | 1 |
| 390 | 0 | 43 | Travel_Rarely | 982 | Research & Development | 12 | 3 | Life Sciences | 1 | 520 | 1 | Male | 59 | 2 | 4 | Research Director | 2 | Divorced | 14336 | 4345 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 25 | 3 | 3 | 25 | 10 | 3 | 9 |
| 391 | 0 | 40 | Travel_Rarely | 555 | Research & Development | 2 | 3 | Medical | 1 | 521 | 2 | Female | 78 | 2 | 2 | Laboratory Technician | 3 | Married | 3448 | 13436 | 6 | Y | No | 22 | 4 | 2 | 80 | 1 | 20 | 3 | 3 | 1 | 0 | 0 | 0 |
| 392 | 0 | 54 | Travel_Rarely | 821 | Research & Development | 5 | 2 | Medical | 1 | 522 | 1 | Male | 86 | 3 | 5 | Research Director | 1 | Married | 19406 | 8509 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 24 | 4 | 2 | 4 | 2 | 1 | 2 |
| 393 | 0 | 34 | Non-Travel | 1381 | Sales | 4 | 4 | Marketing | 1 | 523 | 3 | Female | 72 | 3 | 2 | Sales Executive | 3 | Married | 6538 | 12740 | 9 | Y | No | 15 | 3 | 1 | 80 | 1 | 6 | 3 | 3 | 3 | 2 | 1 | 2 |
| 394 | 0 | 31 | Travel_Rarely | 480 | Research & Development | 7 | 2 | Medical | 1 | 524 | 2 | Female | 31 | 3 | 2 | Manufacturing Director | 1 | Married | 4306 | 4156 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 13 | 5 | 1 | 13 | 10 | 3 | 12 |
| 395 | 0 | 43 | Travel_Frequently | 313 | Research & Development | 21 | 3 | Medical | 1 | 525 | 4 | Male | 61 | 3 | 1 | Laboratory Technician | 4 | Married | 2258 | 15238 | 7 | Y | No | 20 | 4 | 1 | 80 | 1 | 8 | 1 | 3 | 3 | 2 | 1 | 2 |
| 396 | 0 | 43 | Travel_Rarely | 1473 | Research & Development | 8 | 4 | Other | 1 | 526 | 3 | Female | 74 | 3 | 2 | Healthcare Representative | 3 | Divorced | 4522 | 2227 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 5 | 2 | 0 | 2 |
| 397 | 0 | 25 | Travel_Rarely | 891 | Sales | 4 | 2 | Life Sciences | 1 | 527 | 2 | Female | 99 | 2 | 2 | Sales Executive | 4 | Single | 4487 | 12090 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 1 | 3 |
| 398 | 0 | 37 | Non-Travel | 1063 | Research & Development | 25 | 5 | Medical | 1 | 529 | 2 | Female | 72 | 3 | 2 | Research Scientist | 3 | Married | 4449 | 23866 | 3 | Y | Yes | 15 | 3 | 1 | 80 | 2 | 15 | 2 | 3 | 13 | 11 | 10 | 7 |
| 399 | 0 | 31 | Travel_Rarely | 329 | Research & Development | 1 | 2 | Life Sciences | 1 | 530 | 4 | Male | 98 | 2 | 1 | Laboratory Technician | 1 | Married | 2218 | 16193 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 4 | 2 | 3 | 2 |
| 400 | 0 | 39 | Travel_Frequently | 1218 | Research & Development | 1 | 1 | Life Sciences | 1 | 531 | 2 | Male | 52 | 3 | 5 | Manager | 3 | Divorced | 19197 | 8213 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 21 | 3 | 3 | 21 | 8 | 1 | 6 |
| 401 | 0 | 56 | Travel_Frequently | 906 | Sales | 6 | 3 | Life Sciences | 1 | 532 | 3 | Female | 86 | 4 | 4 | Sales Executive | 1 | Married | 13212 | 18256 | 9 | Y | No | 11 | 3 | 4 | 80 | 3 | 36 | 0 | 2 | 7 | 7 | 7 | 7 |
| 402 | 0 | 30 | Travel_Rarely | 1082 | Sales | 12 | 3 | Technical Degree | 1 | 533 | 2 | Female | 83 | 3 | 2 | Sales Executive | 3 | Single | 6577 | 19558 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 6 | 3 | 5 | 4 | 4 | 4 |
| 403 | 0 | 41 | Travel_Rarely | 645 | Sales | 1 | 3 | Marketing | 1 | 534 | 2 | Male | 49 | 4 | 3 | Sales Executive | 1 | Married | 8392 | 19566 | 1 | Y | No | 16 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 0 | 7 |
| 404 | 0 | 28 | Travel_Rarely | 1300 | Research & Development | 17 | 2 | Medical | 1 | 536 | 3 | Male | 79 | 3 | 2 | Laboratory Technician | 1 | Divorced | 4558 | 13535 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 10 | 0 | 1 | 8 |
| 405 | 1 | 25 | Travel_Rarely | 688 | Research & Development | 3 | 3 | Medical | 1 | 538 | 1 | Male | 91 | 3 | 1 | Laboratory Technician | 1 | Married | 4031 | 9396 | 5 | Y | No | 13 | 3 | 3 | 80 | 1 | 6 | 5 | 3 | 2 | 2 | 0 | 2 |
| 406 | 0 | 52 | Travel_Rarely | 319 | Research & Development | 3 | 3 | Medical | 1 | 543 | 4 | Male | 39 | 2 | 3 | Manufacturing Director | 3 | Married | 7969 | 19609 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 28 | 4 | 3 | 5 | 4 | 0 | 4 |
| 407 | 0 | 45 | Travel_Rarely | 192 | Research & Development | 10 | 2 | Life Sciences | 1 | 544 | 1 | Male | 69 | 3 | 1 | Research Scientist | 4 | Married | 2654 | 9655 | 3 | Y | No | 21 | 4 | 4 | 80 | 2 | 8 | 3 | 2 | 2 | 2 | 0 | 2 |
| 408 | 0 | 52 | Travel_Rarely | 1490 | Research & Development | 4 | 2 | Life Sciences | 1 | 546 | 4 | Female | 30 | 3 | 4 | Manager | 4 | Married | 16555 | 10310 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 31 | 2 | 1 | 5 | 2 | 1 | 4 |
| 409 | 0 | 42 | Travel_Frequently | 532 | Research & Development | 29 | 2 | Life Sciences | 1 | 547 | 1 | Female | 92 | 3 | 2 | Research Scientist | 3 | Divorced | 4556 | 12932 | 2 | Y | No | 11 | 3 | 2 | 80 | 1 | 19 | 3 | 3 | 5 | 4 | 0 | 2 |
| 410 | 0 | 30 | Travel_Rarely | 317 | Research & Development | 2 | 3 | Life Sciences | 1 | 548 | 3 | Female | 43 | 1 | 2 | Manufacturing Director | 4 | Single | 6091 | 24793 | 2 | Y | No | 20 | 4 | 3 | 80 | 0 | 11 | 2 | 3 | 5 | 4 | 0 | 2 |
| 411 | 0 | 60 | Travel_Rarely | 422 | Research & Development | 7 | 3 | Life Sciences | 1 | 549 | 1 | Female | 41 | 3 | 5 | Manager | 1 | Married | 19566 | 3854 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 33 | 5 | 1 | 29 | 8 | 11 | 10 |
| 412 | 0 | 46 | Travel_Rarely | 1485 | Research & Development | 18 | 3 | Medical | 1 | 550 | 3 | Female | 87 | 3 | 2 | Manufacturing Director | 3 | Divorced | 4810 | 26314 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 19 | 5 | 2 | 10 | 7 | 0 | 8 |
| 413 | 0 | 42 | Travel_Frequently | 1368 | Research & Development | 28 | 4 | Technical Degree | 1 | 551 | 4 | Female | 88 | 2 | 2 | Healthcare Representative | 4 | Married | 4523 | 4386 | 0 | Y | No | 11 | 3 | 4 | 80 | 3 | 7 | 4 | 4 | 6 | 5 | 0 | 4 |
| 414 | 1 | 24 | Travel_Rarely | 1448 | Sales | 1 | 1 | Technical Degree | 1 | 554 | 1 | Female | 62 | 3 | 1 | Sales Representative | 2 | Single | 3202 | 21972 | 1 | Y | Yes | 16 | 3 | 2 | 80 | 0 | 6 | 4 | 3 | 5 | 3 | 1 | 4 |
| 415 | 1 | 34 | Travel_Frequently | 296 | Sales | 6 | 2 | Marketing | 1 | 555 | 4 | Female | 33 | 1 | 1 | Sales Representative | 3 | Divorced | 2351 | 12253 | 0 | Y | No | 16 | 3 | 4 | 80 | 1 | 3 | 3 | 2 | 2 | 2 | 1 | 0 |
| 416 | 0 | 38 | Travel_Frequently | 1490 | Research & Development | 2 | 2 | Life Sciences | 1 | 556 | 4 | Male | 42 | 3 | 1 | Laboratory Technician | 4 | Married | 1702 | 12106 | 1 | Y | Yes | 23 | 4 | 3 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 417 | 0 | 40 | Travel_Rarely | 1398 | Sales | 2 | 4 | Life Sciences | 1 | 558 | 3 | Female | 79 | 3 | 5 | Manager | 3 | Married | 18041 | 13022 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 20 | 15 | 1 | 12 |
| 418 | 0 | 26 | Travel_Rarely | 1349 | Research & Development | 23 | 3 | Life Sciences | 1 | 560 | 1 | Female | 90 | 3 | 1 | Research Scientist | 4 | Divorced | 2886 | 3032 | 1 | Y | No | 22 | 4 | 2 | 80 | 2 | 3 | 3 | 1 | 3 | 2 | 0 | 2 |
| 419 | 0 | 30 | Non-Travel | 1400 | Research & Development | 3 | 3 | Life Sciences | 1 | 562 | 3 | Male | 53 | 3 | 1 | Laboratory Technician | 4 | Married | 2097 | 16734 | 4 | Y | No | 15 | 3 | 3 | 80 | 1 | 9 | 3 | 1 | 5 | 3 | 1 | 4 |
| 420 | 0 | 29 | Travel_Rarely | 986 | Research & Development | 3 | 4 | Medical | 1 | 564 | 2 | Male | 93 | 2 | 3 | Research Director | 3 | Married | 11935 | 21526 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 10 | 2 | 0 | 7 |
| 421 | 1 | 29 | Travel_Rarely | 408 | Research & Development | 25 | 5 | Technical Degree | 1 | 565 | 3 | Female | 71 | 2 | 1 | Research Scientist | 2 | Married | 2546 | 18300 | 5 | Y | No | 16 | 3 | 2 | 80 | 0 | 6 | 2 | 4 | 2 | 2 | 1 | 1 |
| 422 | 1 | 19 | Travel_Rarely | 489 | Human Resources | 2 | 2 | Technical Degree | 1 | 566 | 1 | Male | 52 | 2 | 1 | Human Resources | 4 | Single | 2564 | 18437 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 |
| 423 | 0 | 30 | Non-Travel | 1398 | Sales | 22 | 4 | Other | 1 | 567 | 3 | Female | 69 | 3 | 3 | Sales Executive | 1 | Married | 8412 | 2890 | 0 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 9 | 8 | 7 | 8 |
| 424 | 0 | 57 | Travel_Rarely | 210 | Sales | 29 | 3 | Marketing | 1 | 568 | 1 | Male | 56 | 2 | 4 | Manager | 4 | Divorced | 14118 | 22102 | 3 | Y | No | 12 | 3 | 3 | 80 | 1 | 32 | 3 | 2 | 1 | 0 | 0 | 0 |
| 425 | 0 | 50 | Travel_Rarely | 1099 | Research & Development | 29 | 4 | Life Sciences | 1 | 569 | 2 | Male | 88 | 2 | 4 | Manager | 3 | Married | 17046 | 9314 | 0 | Y | No | 15 | 3 | 2 | 80 | 1 | 28 | 2 | 3 | 27 | 10 | 15 | 7 |
| 426 | 0 | 30 | Non-Travel | 1116 | Research & Development | 2 | 3 | Medical | 1 | 571 | 3 | Female | 49 | 3 | 1 | Laboratory Technician | 4 | Single | 2564 | 7181 | 0 | Y | No | 14 | 3 | 3 | 80 | 0 | 12 | 2 | 2 | 11 | 7 | 6 | 7 |
| 427 | 0 | 60 | Travel_Frequently | 1499 | Sales | 28 | 3 | Marketing | 1 | 573 | 3 | Female | 80 | 2 | 3 | Sales Executive | 1 | Married | 10266 | 2845 | 4 | Y | No | 19 | 3 | 4 | 80 | 0 | 22 | 5 | 4 | 18 | 13 | 13 | 11 |
| 428 | 0 | 47 | Travel_Rarely | 983 | Research & Development | 2 | 2 | Medical | 1 | 574 | 1 | Female | 65 | 3 | 2 | Manufacturing Director | 4 | Divorced | 5070 | 7389 | 5 | Y | No | 13 | 3 | 3 | 80 | 3 | 20 | 2 | 3 | 5 | 0 | 0 | 4 |
| 429 | 0 | 46 | Travel_Rarely | 1009 | Research & Development | 2 | 3 | Life Sciences | 1 | 575 | 1 | Male | 51 | 3 | 4 | Research Director | 3 | Married | 17861 | 2288 | 6 | Y | No | 13 | 3 | 3 | 80 | 0 | 26 | 2 | 1 | 3 | 2 | 0 | 1 |
| 430 | 0 | 35 | Travel_Rarely | 144 | Research & Development | 22 | 3 | Life Sciences | 1 | 577 | 4 | Male | 46 | 1 | 1 | Laboratory Technician | 3 | Single | 4230 | 19225 | 0 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 5 | 4 | 4 | 3 |
| 431 | 0 | 54 | Travel_Rarely | 548 | Research & Development | 8 | 4 | Life Sciences | 1 | 578 | 3 | Female | 42 | 3 | 2 | Laboratory Technician | 3 | Single | 3780 | 23428 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 19 | 3 | 3 | 1 | 0 | 0 | 0 |
| 432 | 0 | 34 | Travel_Rarely | 1303 | Research & Development | 2 | 4 | Life Sciences | 1 | 579 | 4 | Male | 62 | 2 | 1 | Research Scientist | 3 | Divorced | 2768 | 8416 | 3 | Y | No | 12 | 3 | 3 | 80 | 1 | 14 | 3 | 3 | 7 | 3 | 5 | 7 |
| 433 | 0 | 46 | Travel_Rarely | 1125 | Sales | 10 | 3 | Marketing | 1 | 580 | 3 | Female | 94 | 2 | 3 | Sales Executive | 4 | Married | 9071 | 11563 | 2 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 15 | 3 | 3 | 3 | 2 | 1 | 2 |
| 434 | 0 | 31 | Travel_Rarely | 1274 | Research & Development | 9 | 1 | Life Sciences | 1 | 581 | 3 | Male | 33 | 3 | 3 | Manufacturing Director | 2 | Divorced | 10648 | 14394 | 1 | Y | No | 25 | 4 | 4 | 80 | 1 | 13 | 6 | 4 | 13 | 8 | 0 | 8 |
| 435 | 1 | 33 | Travel_Rarely | 1277 | Research & Development | 15 | 1 | Medical | 1 | 582 | 2 | Male | 56 | 3 | 3 | Manager | 3 | Married | 13610 | 24619 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 15 | 2 | 4 | 7 | 6 | 7 | 7 |
| 436 | 1 | 33 | Travel_Rarely | 587 | Research & Development | 10 | 1 | Medical | 1 | 584 | 1 | Male | 38 | 1 | 1 | Laboratory Technician | 4 | Divorced | 3408 | 6705 | 7 | Y | No | 13 | 3 | 1 | 80 | 3 | 8 | 2 | 3 | 4 | 3 | 1 | 3 |
| 437 | 0 | 30 | Travel_Rarely | 413 | Sales | 7 | 1 | Marketing | 1 | 585 | 4 | Male | 57 | 3 | 1 | Sales Representative | 2 | Single | 2983 | 18398 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 1 | 2 |
| 438 | 0 | 35 | Travel_Rarely | 1276 | Research & Development | 16 | 3 | Life Sciences | 1 | 586 | 4 | Male | 72 | 3 | 3 | Healthcare Representative | 3 | Married | 7632 | 14295 | 4 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 0 | 0 |
| 439 | 1 | 31 | Travel_Frequently | 534 | Research & Development | 20 | 3 | Life Sciences | 1 | 587 | 1 | Male | 66 | 3 | 3 | Healthcare Representative | 3 | Married | 9824 | 22908 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 12 | 2 | 3 | 1 | 0 | 0 | 0 |
| 440 | 1 | 34 | Travel_Frequently | 988 | Human Resources | 23 | 3 | Human Resources | 1 | 590 | 2 | Female | 43 | 3 | 3 | Human Resources | 1 | Divorced | 9950 | 11533 | 9 | Y | Yes | 15 | 3 | 3 | 80 | 3 | 11 | 2 | 3 | 3 | 2 | 0 | 2 |
| 441 | 0 | 42 | Travel_Frequently | 1474 | Research & Development | 5 | 2 | Other | 1 | 591 | 2 | Male | 97 | 3 | 1 | Laboratory Technician | 3 | Married | 2093 | 9260 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 8 | 4 | 3 | 2 | 2 | 2 | 0 |
| 442 | 0 | 36 | Non-Travel | 635 | Sales | 10 | 4 | Medical | 1 | 592 | 2 | Male | 32 | 3 | 3 | Sales Executive | 4 | Single | 9980 | 15318 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 3 | 2 | 10 | 3 | 9 | 7 |
| 443 | 1 | 22 | Travel_Frequently | 1368 | Research & Development | 4 | 1 | Technical Degree | 1 | 593 | 3 | Male | 99 | 2 | 1 | Laboratory Technician | 3 | Single | 3894 | 9129 | 5 | Y | No | 16 | 3 | 3 | 80 | 0 | 4 | 3 | 3 | 2 | 2 | 1 | 2 |
| 444 | 0 | 48 | Travel_Rarely | 163 | Sales | 2 | 5 | Marketing | 1 | 595 | 2 | Female | 37 | 3 | 2 | Sales Executive | 4 | Married | 4051 | 19658 | 2 | Y | No | 14 | 3 | 1 | 80 | 1 | 14 | 2 | 3 | 9 | 7 | 6 | 7 |
| 445 | 0 | 55 | Travel_Rarely | 1117 | Sales | 18 | 5 | Life Sciences | 1 | 597 | 1 | Female | 83 | 3 | 4 | Manager | 2 | Single | 16835 | 9873 | 3 | Y | No | 23 | 4 | 4 | 80 | 0 | 37 | 2 | 3 | 10 | 9 | 7 | 7 |
| 446 | 0 | 41 | Non-Travel | 267 | Sales | 10 | 2 | Life Sciences | 1 | 599 | 4 | Male | 56 | 3 | 2 | Sales Executive | 4 | Single | 6230 | 13430 | 7 | Y | No | 14 | 3 | 4 | 80 | 0 | 16 | 3 | 3 | 14 | 3 | 1 | 10 |
| 447 | 0 | 35 | Travel_Rarely | 619 | Sales | 1 | 3 | Marketing | 1 | 600 | 2 | Male | 85 | 3 | 2 | Sales Executive | 3 | Married | 4717 | 18659 | 9 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 2 | 3 | 11 | 9 | 6 | 9 |
| 448 | 0 | 40 | Travel_Rarely | 302 | Research & Development | 6 | 3 | Life Sciences | 1 | 601 | 2 | Female | 75 | 3 | 4 | Manufacturing Director | 3 | Single | 13237 | 20364 | 7 | Y | No | 15 | 3 | 3 | 80 | 0 | 22 | 3 | 3 | 20 | 6 | 5 | 13 |
| 449 | 0 | 39 | Travel_Frequently | 443 | Research & Development | 8 | 1 | Life Sciences | 1 | 602 | 3 | Female | 48 | 3 | 1 | Laboratory Technician | 3 | Married | 3755 | 17872 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 8 | 3 | 0 | 7 |
| 450 | 0 | 31 | Travel_Rarely | 828 | Sales | 2 | 1 | Life Sciences | 1 | 604 | 2 | Male | 77 | 3 | 2 | Sales Executive | 4 | Single | 6582 | 8346 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 2 | 4 | 6 | 5 | 0 | 5 |
| 451 | 0 | 42 | Travel_Rarely | 319 | Research & Development | 24 | 3 | Medical | 1 | 605 | 4 | Male | 56 | 3 | 3 | Manufacturing Director | 1 | Married | 7406 | 6950 | 1 | Y | Yes | 21 | 4 | 4 | 80 | 1 | 10 | 5 | 2 | 10 | 9 | 5 | 8 |
| 452 | 0 | 45 | Travel_Rarely | 561 | Sales | 2 | 3 | Other | 1 | 606 | 4 | Male | 61 | 3 | 2 | Sales Executive | 2 | Married | 4805 | 16177 | 0 | Y | No | 19 | 3 | 2 | 80 | 1 | 9 | 3 | 4 | 8 | 7 | 3 | 7 |
| 453 | 1 | 26 | Travel_Frequently | 426 | Human Resources | 17 | 4 | Life Sciences | 1 | 608 | 2 | Female | 58 | 3 | 1 | Human Resources | 3 | Divorced | 2741 | 22808 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 8 | 2 | 2 | 7 | 7 | 1 | 0 |
| 454 | 0 | 29 | Travel_Rarely | 232 | Research & Development | 19 | 3 | Technical Degree | 1 | 611 | 4 | Male | 34 | 3 | 2 | Manufacturing Director | 4 | Divorced | 4262 | 22645 | 4 | Y | No | 12 | 3 | 2 | 80 | 2 | 8 | 2 | 4 | 3 | 2 | 1 | 2 |
| 455 | 0 | 33 | Travel_Rarely | 922 | Research & Development | 1 | 5 | Medical | 1 | 612 | 1 | Female | 95 | 4 | 4 | Research Director | 3 | Divorced | 16184 | 22578 | 4 | Y | No | 19 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 6 | 1 | 0 | 5 |
| 456 | 0 | 31 | Travel_Rarely | 688 | Sales | 7 | 3 | Life Sciences | 1 | 613 | 3 | Male | 44 | 2 | 3 | Manager | 4 | Divorced | 11557 | 25291 | 9 | Y | No | 21 | 4 | 3 | 80 | 1 | 10 | 3 | 2 | 5 | 4 | 0 | 1 |
| 457 | 1 | 18 | Travel_Frequently | 1306 | Sales | 5 | 3 | Marketing | 1 | 614 | 2 | Male | 69 | 3 | 1 | Sales Representative | 2 | Single | 1878 | 8059 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 0 | 3 | 3 | 0 | 0 | 0 | 0 |
| 458 | 0 | 40 | Non-Travel | 1094 | Sales | 28 | 3 | Other | 1 | 615 | 3 | Male | 58 | 1 | 3 | Sales Executive | 1 | Divorced | 10932 | 11373 | 3 | Y | No | 15 | 3 | 3 | 80 | 1 | 20 | 2 | 3 | 1 | 0 | 0 | 1 |
| 459 | 0 | 41 | Non-Travel | 509 | Research & Development | 2 | 4 | Other | 1 | 616 | 1 | Female | 62 | 2 | 2 | Healthcare Representative | 3 | Single | 6811 | 2112 | 2 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 8 | 7 | 0 | 7 |
| 460 | 0 | 26 | Travel_Rarely | 775 | Sales | 29 | 2 | Medical | 1 | 618 | 1 | Male | 45 | 3 | 2 | Sales Executive | 3 | Divorced | 4306 | 4267 | 5 | Y | No | 12 | 3 | 1 | 80 | 2 | 8 | 5 | 3 | 0 | 0 | 0 | 0 |
| 461 | 0 | 35 | Travel_Rarely | 195 | Sales | 1 | 3 | Medical | 1 | 620 | 1 | Female | 80 | 3 | 2 | Sales Executive | 3 | Single | 4859 | 6698 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 3 |
| 462 | 0 | 34 | Travel_Rarely | 258 | Sales | 21 | 4 | Life Sciences | 1 | 621 | 4 | Male | 74 | 4 | 2 | Sales Executive | 4 | Single | 5337 | 19921 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 7 | 5 | 7 |
| 463 | 1 | 26 | Travel_Rarely | 471 | Research & Development | 24 | 3 | Technical Degree | 1 | 622 | 3 | Male | 66 | 1 | 1 | Laboratory Technician | 4 | Single | 2340 | 23213 | 1 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 1 | 3 | 1 | 1 | 0 | 0 | 0 |
| 464 | 0 | 37 | Travel_Rarely | 799 | Research & Development | 1 | 3 | Technical Degree | 1 | 623 | 2 | Female | 59 | 3 | 3 | Manufacturing Director | 4 | Single | 7491 | 23848 | 4 | Y | No | 17 | 3 | 4 | 80 | 0 | 12 | 3 | 4 | 6 | 5 | 1 | 2 |
| 465 | 0 | 46 | Travel_Frequently | 1034 | Research & Development | 18 | 1 | Medical | 1 | 624 | 1 | Female | 86 | 3 | 3 | Healthcare Representative | 3 | Married | 10527 | 8984 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 28 | 3 | 2 | 2 | 2 | 1 | 2 |
| 466 | 0 | 41 | Travel_Rarely | 1276 | Sales | 2 | 5 | Life Sciences | 1 | 625 | 2 | Female | 91 | 3 | 4 | Manager | 1 | Married | 16595 | 5626 | 7 | Y | No | 16 | 3 | 2 | 80 | 1 | 22 | 2 | 3 | 18 | 16 | 11 | 8 |
| 467 | 0 | 37 | Non-Travel | 142 | Sales | 9 | 4 | Medical | 1 | 626 | 1 | Male | 69 | 3 | 3 | Sales Executive | 2 | Divorced | 8834 | 24666 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 9 | 6 | 3 | 9 | 5 | 7 | 7 |
| 468 | 0 | 52 | Travel_Rarely | 956 | Research & Development | 6 | 2 | Technical Degree | 1 | 630 | 4 | Male | 78 | 3 | 2 | Research Scientist | 1 | Divorced | 5577 | 22087 | 3 | Y | Yes | 12 | 3 | 2 | 80 | 2 | 18 | 3 | 3 | 10 | 9 | 6 | 9 |
| 469 | 1 | 32 | Non-Travel | 1474 | Sales | 11 | 4 | Other | 1 | 631 | 4 | Male | 60 | 4 | 2 | Sales Executive | 3 | Married | 4707 | 23914 | 8 | Y | No | 12 | 3 | 4 | 80 | 0 | 6 | 2 | 3 | 4 | 2 | 1 | 2 |
| 470 | 0 | 24 | Travel_Frequently | 535 | Sales | 24 | 3 | Medical | 1 | 632 | 4 | Male | 38 | 3 | 1 | Sales Representative | 4 | Married | 2400 | 5530 | 0 | Y | No | 13 | 3 | 3 | 80 | 2 | 3 | 3 | 3 | 2 | 2 | 2 | 1 |
| 471 | 0 | 38 | Travel_Rarely | 1495 | Research & Development | 10 | 3 | Medical | 1 | 634 | 3 | Female | 76 | 3 | 2 | Healthcare Representative | 3 | Married | 9824 | 22174 | 3 | Y | No | 19 | 3 | 3 | 80 | 1 | 18 | 4 | 3 | 1 | 0 | 0 | 0 |
| 472 | 0 | 37 | Travel_Rarely | 446 | Research & Development | 1 | 4 | Life Sciences | 1 | 635 | 2 | Female | 65 | 3 | 2 | Manufacturing Director | 2 | Married | 6447 | 15701 | 6 | Y | No | 12 | 3 | 2 | 80 | 1 | 8 | 2 | 2 | 6 | 5 | 4 | 3 |
| 473 | 0 | 49 | Travel_Rarely | 1245 | Research & Development | 18 | 4 | Life Sciences | 1 | 638 | 4 | Male | 58 | 2 | 5 | Research Director | 3 | Divorced | 19502 | 2125 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 31 | 5 | 3 | 31 | 9 | 0 | 9 |
| 474 | 0 | 24 | Travel_Rarely | 691 | Research & Development | 23 | 3 | Medical | 1 | 639 | 2 | Male | 89 | 4 | 1 | Research Scientist | 4 | Married | 2725 | 21630 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 6 | 3 | 3 | 6 | 5 | 1 | 4 |
| 475 | 0 | 26 | Travel_Rarely | 703 | Sales | 28 | 2 | Marketing | 1 | 641 | 1 | Male | 66 | 3 | 2 | Sales Executive | 2 | Married | 6272 | 7428 | 1 | Y | No | 20 | 4 | 4 | 80 | 2 | 6 | 5 | 4 | 5 | 3 | 1 | 4 |
| 476 | 0 | 24 | Travel_Rarely | 823 | Research & Development | 17 | 2 | Other | 1 | 643 | 4 | Male | 94 | 2 | 1 | Laboratory Technician | 2 | Married | 2127 | 9100 | 1 | Y | No | 21 | 4 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 477 | 0 | 50 | Travel_Frequently | 1246 | Human Resources | 3 | 3 | Medical | 1 | 644 | 1 | Male | 99 | 3 | 5 | Manager | 2 | Married | 18200 | 7999 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 32 | 2 | 3 | 32 | 5 | 10 | 7 |
| 478 | 0 | 25 | Travel_Rarely | 622 | Sales | 13 | 1 | Medical | 1 | 645 | 2 | Male | 40 | 3 | 1 | Sales Representative | 3 | Married | 2096 | 26376 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 7 | 1 | 3 | 7 | 4 | 0 | 6 |
| 479 | 1 | 24 | Travel_Frequently | 1287 | Research & Development | 7 | 3 | Life Sciences | 1 | 647 | 1 | Female | 55 | 3 | 1 | Laboratory Technician | 3 | Married | 2886 | 14168 | 1 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 4 | 3 | 6 | 3 | 1 | 2 |
| 480 | 1 | 30 | Travel_Frequently | 448 | Sales | 12 | 4 | Life Sciences | 1 | 648 | 2 | Male | 74 | 2 | 1 | Sales Representative | 1 | Married | 2033 | 14470 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 1 | 2 | 4 | 1 | 0 | 0 | 0 |
| 481 | 0 | 34 | Travel_Rarely | 254 | Research & Development | 1 | 2 | Life Sciences | 1 | 649 | 2 | Male | 83 | 2 | 1 | Research Scientist | 4 | Married | 3622 | 22794 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 6 | 5 | 1 | 3 |
| 482 | 1 | 31 | Travel_Rarely | 1365 | Sales | 13 | 4 | Medical | 1 | 650 | 2 | Male | 46 | 3 | 2 | Sales Executive | 1 | Divorced | 4233 | 11512 | 2 | Y | No | 17 | 3 | 3 | 80 | 0 | 9 | 2 | 1 | 3 | 1 | 1 | 2 |
| 483 | 0 | 35 | Travel_Rarely | 538 | Research & Development | 25 | 2 | Other | 1 | 652 | 1 | Male | 54 | 2 | 2 | Laboratory Technician | 4 | Single | 3681 | 14004 | 4 | Y | No | 14 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 3 | 2 | 0 | 2 |
| 484 | 0 | 31 | Travel_Rarely | 525 | Sales | 6 | 4 | Medical | 1 | 653 | 1 | Male | 66 | 4 | 2 | Sales Executive | 4 | Divorced | 5460 | 6219 | 4 | Y | No | 22 | 4 | 4 | 80 | 2 | 13 | 4 | 4 | 7 | 7 | 5 | 7 |
| 485 | 0 | 27 | Travel_Rarely | 798 | Research & Development | 6 | 4 | Medical | 1 | 655 | 1 | Female | 66 | 2 | 1 | Research Scientist | 3 | Divorced | 2187 | 5013 | 0 | Y | No | 12 | 3 | 3 | 80 | 2 | 6 | 5 | 2 | 5 | 3 | 0 | 3 |
| 486 | 0 | 37 | Travel_Rarely | 558 | Sales | 2 | 3 | Marketing | 1 | 656 | 4 | Male | 75 | 3 | 2 | Sales Executive | 3 | Married | 9602 | 3010 | 4 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 17 | 3 | 2 | 3 | 0 | 1 | 0 |
| 487 | 0 | 20 | Travel_Rarely | 959 | Research & Development | 1 | 3 | Life Sciences | 1 | 657 | 4 | Female | 83 | 2 | 1 | Research Scientist | 2 | Single | 2836 | 11757 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 1 | 0 | 4 | 1 | 0 | 0 | 0 |
| 488 | 0 | 42 | Travel_Rarely | 622 | Research & Development | 2 | 4 | Life Sciences | 1 | 659 | 3 | Female | 81 | 3 | 2 | Healthcare Representative | 4 | Married | 4089 | 5718 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 10 | 4 | 3 | 10 | 2 | 2 | 2 |
| 489 | 0 | 43 | Travel_Rarely | 782 | Research & Development | 6 | 4 | Other | 1 | 661 | 2 | Male | 50 | 2 | 4 | Research Director | 4 | Divorced | 16627 | 2671 | 4 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 21 | 3 | 2 | 1 | 0 | 0 | 0 |
| 490 | 0 | 38 | Travel_Rarely | 362 | Research & Development | 1 | 1 | Life Sciences | 1 | 662 | 3 | Female | 43 | 3 | 1 | Research Scientist | 1 | Single | 2619 | 14561 | 3 | Y | No | 17 | 3 | 4 | 80 | 0 | 8 | 3 | 2 | 0 | 0 | 0 | 0 |
| 491 | 0 | 43 | Travel_Frequently | 1001 | Research & Development | 9 | 5 | Medical | 1 | 663 | 4 | Male | 72 | 3 | 2 | Laboratory Technician | 3 | Divorced | 5679 | 19627 | 3 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 10 | 3 | 3 | 8 | 7 | 4 | 7 |
| 492 | 0 | 48 | Travel_Rarely | 1236 | Research & Development | 1 | 4 | Life Sciences | 1 | 664 | 4 | Female | 40 | 2 | 4 | Manager | 1 | Married | 15402 | 17997 | 7 | Y | No | 11 | 3 | 1 | 80 | 1 | 21 | 3 | 1 | 3 | 2 | 0 | 2 |
| 493 | 0 | 44 | Travel_Rarely | 1112 | Human Resources | 1 | 4 | Life Sciences | 1 | 665 | 1 | Female | 50 | 2 | 2 | Human Resources | 3 | Single | 5985 | 26894 | 4 | Y | No | 11 | 3 | 2 | 80 | 0 | 10 | 1 | 4 | 2 | 2 | 0 | 2 |
| 494 | 0 | 34 | Travel_Rarely | 204 | Sales | 14 | 3 | Technical Degree | 1 | 666 | 3 | Female | 31 | 3 | 1 | Sales Representative | 3 | Divorced | 2579 | 2912 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 2 | 8 | 3 | 3 | 8 | 2 | 0 | 6 |
| 495 | 1 | 27 | Travel_Rarely | 1420 | Sales | 2 | 1 | Marketing | 1 | 667 | 3 | Male | 85 | 3 | 1 | Sales Representative | 1 | Divorced | 3041 | 16346 | 0 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 4 | 3 | 0 | 2 |
| 496 | 0 | 21 | Travel_Rarely | 1343 | Sales | 22 | 1 | Technical Degree | 1 | 669 | 3 | Male | 49 | 3 | 1 | Sales Representative | 3 | Single | 3447 | 24444 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 3 | 2 | 1 | 2 |
| 497 | 0 | 44 | Travel_Rarely | 1315 | Research & Development | 3 | 4 | Other | 1 | 671 | 4 | Male | 35 | 3 | 5 | Manager | 4 | Married | 19513 | 9358 | 4 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 26 | 2 | 4 | 2 | 2 | 0 | 1 |
| 498 | 0 | 22 | Travel_Rarely | 604 | Research & Development | 6 | 1 | Medical | 1 | 675 | 1 | Male | 69 | 3 | 1 | Research Scientist | 3 | Married | 2773 | 12145 | 0 | Y | No | 20 | 4 | 4 | 80 | 0 | 3 | 3 | 3 | 2 | 2 | 2 | 2 |
| 499 | 0 | 33 | Travel_Rarely | 1216 | Sales | 8 | 4 | Marketing | 1 | 677 | 3 | Male | 39 | 3 | 2 | Sales Executive | 3 | Divorced | 7104 | 20431 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 5 | 0 | 1 | 2 |
| 500 | 0 | 32 | Travel_Rarely | 646 | Research & Development | 9 | 4 | Life Sciences | 1 | 679 | 1 | Female | 92 | 3 | 2 | Research Scientist | 4 | Married | 6322 | 18089 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 6 | 2 | 2 | 6 | 4 | 0 | 5 |
| 501 | 0 | 30 | Travel_Frequently | 160 | Research & Development | 3 | 3 | Medical | 1 | 680 | 3 | Female | 71 | 3 | 1 | Research Scientist | 3 | Divorced | 2083 | 22653 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 502 | 0 | 53 | Travel_Rarely | 238 | Sales | 1 | 1 | Medical | 1 | 682 | 4 | Female | 34 | 3 | 2 | Sales Executive | 1 | Single | 8381 | 7507 | 7 | Y | No | 20 | 4 | 4 | 80 | 0 | 18 | 2 | 4 | 14 | 7 | 8 | 10 |
| 503 | 0 | 34 | Travel_Rarely | 1397 | Research & Development | 1 | 5 | Life Sciences | 1 | 683 | 2 | Male | 42 | 3 | 1 | Research Scientist | 4 | Married | 2691 | 7660 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 4 | 2 | 10 | 9 | 8 | 8 |
| 504 | 1 | 45 | Travel_Frequently | 306 | Sales | 26 | 4 | Life Sciences | 1 | 684 | 1 | Female | 100 | 3 | 2 | Sales Executive | 1 | Married | 4286 | 5630 | 2 | Y | No | 14 | 3 | 4 | 80 | 2 | 5 | 4 | 3 | 1 | 1 | 0 | 0 |
| 505 | 0 | 26 | Travel_Rarely | 991 | Research & Development | 6 | 3 | Life Sciences | 1 | 686 | 3 | Female | 71 | 3 | 1 | Laboratory Technician | 4 | Married | 2659 | 17759 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 0 | 2 |
| 506 | 0 | 37 | Travel_Rarely | 482 | Research & Development | 3 | 3 | Other | 1 | 689 | 3 | Male | 36 | 3 | 3 | Manufacturing Director | 3 | Married | 9434 | 9606 | 1 | Y | No | 15 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 7 | 8 |
| 507 | 0 | 29 | Travel_Rarely | 1176 | Sales | 3 | 2 | Medical | 1 | 690 | 2 | Female | 62 | 3 | 2 | Sales Executive | 3 | Married | 5561 | 3487 | 1 | Y | No | 14 | 3 | 1 | 80 | 1 | 6 | 5 | 2 | 6 | 0 | 1 | 2 |
| 508 | 0 | 35 | Travel_Rarely | 1017 | Research & Development | 6 | 4 | Life Sciences | 1 | 691 | 2 | Male | 82 | 1 | 2 | Research Scientist | 4 | Single | 6646 | 19368 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 17 | 3 | 3 | 17 | 11 | 11 | 8 |
| 509 | 0 | 33 | Travel_Frequently | 1296 | Research & Development | 6 | 3 | Life Sciences | 1 | 692 | 3 | Male | 30 | 3 | 2 | Healthcare Representative | 4 | Divorced | 7725 | 5335 | 3 | Y | No | 23 | 4 | 3 | 80 | 1 | 15 | 2 | 1 | 13 | 11 | 4 | 7 |
| 510 | 0 | 54 | Travel_Rarely | 397 | Human Resources | 19 | 4 | Medical | 1 | 698 | 3 | Male | 88 | 3 | 3 | Human Resources | 2 | Married | 10725 | 6729 | 2 | Y | No | 15 | 3 | 3 | 80 | 1 | 16 | 1 | 4 | 9 | 7 | 7 | 1 |
| 511 | 0 | 36 | Travel_Rarely | 913 | Research & Development | 9 | 2 | Medical | 1 | 699 | 2 | Male | 48 | 2 | 2 | Manufacturing Director | 2 | Divorced | 8847 | 13934 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 13 | 2 | 3 | 3 | 2 | 0 | 2 |
| 512 | 0 | 27 | Travel_Rarely | 1115 | Research & Development | 3 | 4 | Medical | 1 | 700 | 1 | Male | 54 | 2 | 1 | Research Scientist | 4 | Single | 2045 | 15174 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 5 | 0 | 3 | 4 | 2 | 1 | 1 |
| 513 | 1 | 20 | Travel_Rarely | 1362 | Research & Development | 10 | 1 | Medical | 1 | 701 | 4 | Male | 32 | 3 | 1 | Research Scientist | 3 | Single | 1009 | 26999 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 1 | 1 |
| 514 | 1 | 33 | Travel_Frequently | 1076 | Research & Development | 3 | 3 | Life Sciences | 1 | 702 | 1 | Male | 70 | 3 | 1 | Research Scientist | 1 | Single | 3348 | 3164 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 10 | 8 | 9 | 7 |
| 515 | 0 | 35 | Non-Travel | 727 | Research & Development | 3 | 3 | Life Sciences | 1 | 704 | 3 | Male | 41 | 2 | 1 | Laboratory Technician | 3 | Married | 1281 | 16900 | 1 | Y | No | 18 | 3 | 3 | 80 | 2 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 516 | 0 | 23 | Travel_Rarely | 885 | Research & Development | 4 | 3 | Medical | 1 | 705 | 1 | Male | 58 | 4 | 1 | Research Scientist | 1 | Married | 2819 | 8544 | 2 | Y | No | 16 | 3 | 1 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 0 | 2 |
| 517 | 0 | 25 | Travel_Rarely | 810 | Sales | 8 | 3 | Life Sciences | 1 | 707 | 4 | Male | 57 | 4 | 2 | Sales Executive | 2 | Married | 4851 | 15678 | 0 | Y | No | 22 | 4 | 3 | 80 | 1 | 4 | 4 | 3 | 3 | 2 | 1 | 2 |
| 518 | 0 | 38 | Travel_Rarely | 243 | Sales | 7 | 4 | Marketing | 1 | 709 | 4 | Female | 46 | 2 | 2 | Sales Executive | 4 | Single | 4028 | 7791 | 0 | Y | No | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 7 | 7 | 0 | 5 |
| 519 | 0 | 29 | Travel_Frequently | 806 | Research & Development | 1 | 4 | Life Sciences | 1 | 710 | 2 | Male | 76 | 1 | 1 | Research Scientist | 4 | Divorced | 2720 | 18959 | 1 | Y | No | 18 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 10 | 7 | 2 | 8 |
| 520 | 0 | 48 | Travel_Rarely | 817 | Sales | 2 | 1 | Marketing | 1 | 712 | 2 | Male | 56 | 4 | 2 | Sales Executive | 2 | Married | 8120 | 18597 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 12 | 3 | 3 | 2 | 2 | 2 | 2 |
| 521 | 0 | 27 | Travel_Frequently | 1410 | Sales | 3 | 1 | Medical | 1 | 714 | 4 | Female | 71 | 4 | 2 | Sales Executive | 4 | Divorced | 4647 | 16673 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 2 | 6 | 3 | 3 | 6 | 5 | 0 | 4 |
| 522 | 0 | 37 | Travel_Rarely | 1225 | Research & Development | 10 | 2 | Life Sciences | 1 | 715 | 4 | Male | 80 | 4 | 1 | Research Scientist | 4 | Single | 4680 | 15232 | 3 | Y | No | 17 | 3 | 1 | 80 | 0 | 4 | 2 | 3 | 1 | 0 | 0 | 0 |
| 523 | 0 | 50 | Travel_Rarely | 1207 | Research & Development | 28 | 1 | Medical | 1 | 716 | 4 | Male | 74 | 4 | 1 | Laboratory Technician | 3 | Married | 3221 | 3297 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 3 | 20 | 3 | 3 | 20 | 8 | 3 | 8 |
| 524 | 0 | 34 | Travel_Rarely | 1442 | Research & Development | 9 | 3 | Medical | 1 | 717 | 4 | Female | 46 | 2 | 3 | Healthcare Representative | 2 | Single | 8621 | 17654 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 3 | 4 | 8 | 7 | 7 | 7 |
| 525 | 1 | 24 | Travel_Rarely | 693 | Sales | 3 | 2 | Life Sciences | 1 | 720 | 1 | Female | 65 | 3 | 2 | Sales Executive | 3 | Single | 4577 | 24785 | 9 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 2 | 2 | 2 | 0 |
| 526 | 0 | 39 | Travel_Rarely | 408 | Research & Development | 2 | 4 | Technical Degree | 1 | 721 | 4 | Female | 80 | 2 | 2 | Healthcare Representative | 3 | Single | 4553 | 20978 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 20 | 4 | 3 | 20 | 7 | 11 | 10 |
| 527 | 0 | 32 | Travel_Rarely | 929 | Sales | 10 | 3 | Marketing | 1 | 722 | 4 | Male | 55 | 3 | 2 | Sales Executive | 4 | Single | 5396 | 21703 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 2 | 2 | 10 | 7 | 0 | 8 |
| 528 | 1 | 50 | Travel_Frequently | 562 | Sales | 8 | 2 | Technical Degree | 1 | 723 | 2 | Male | 50 | 3 | 2 | Sales Executive | 3 | Married | 6796 | 23452 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 1 | 18 | 4 | 3 | 4 | 3 | 1 | 3 |
| 529 | 0 | 38 | Travel_Rarely | 827 | Research & Development | 1 | 4 | Life Sciences | 1 | 724 | 2 | Female | 33 | 4 | 2 | Healthcare Representative | 4 | Single | 7625 | 19383 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 10 | 4 | 2 | 9 | 7 | 1 | 8 |
| 530 | 0 | 27 | Travel_Rarely | 608 | Research & Development | 1 | 2 | Life Sciences | 1 | 725 | 3 | Female | 68 | 3 | 3 | Manufacturing Director | 1 | Married | 7412 | 6009 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 7 | 0 | 7 |
| 531 | 0 | 32 | Travel_Rarely | 1018 | Research & Development | 3 | 2 | Life Sciences | 1 | 727 | 3 | Female | 39 | 3 | 3 | Research Director | 4 | Single | 11159 | 19373 | 3 | Y | No | 15 | 3 | 4 | 80 | 0 | 10 | 6 | 3 | 7 | 7 | 7 | 7 |
| 532 | 0 | 47 | Travel_Rarely | 703 | Sales | 14 | 4 | Marketing | 1 | 728 | 4 | Male | 42 | 3 | 2 | Sales Executive | 1 | Single | 4960 | 11825 | 2 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 7 | 7 | 1 | 7 |
| 533 | 0 | 40 | Travel_Frequently | 580 | Sales | 5 | 4 | Life Sciences | 1 | 729 | 4 | Male | 48 | 2 | 3 | Sales Executive | 1 | Married | 10475 | 23772 | 5 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 20 | 2 | 3 | 18 | 13 | 1 | 12 |
| 534 | 0 | 53 | Travel_Rarely | 970 | Research & Development | 7 | 3 | Life Sciences | 1 | 730 | 3 | Male | 59 | 4 | 4 | Research Director | 3 | Married | 14814 | 13514 | 3 | Y | No | 19 | 3 | 3 | 80 | 0 | 32 | 3 | 3 | 5 | 1 | 1 | 3 |
| 535 | 0 | 41 | Travel_Rarely | 427 | Human Resources | 10 | 4 | Human Resources | 1 | 731 | 2 | Male | 73 | 2 | 5 | Manager | 4 | Divorced | 19141 | 8861 | 3 | Y | No | 15 | 3 | 2 | 80 | 3 | 23 | 2 | 2 | 21 | 6 | 12 | 6 |
| 536 | 0 | 60 | Travel_Rarely | 1179 | Sales | 16 | 4 | Marketing | 1 | 732 | 1 | Male | 84 | 3 | 2 | Sales Executive | 1 | Single | 5405 | 11924 | 8 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 1 | 3 | 2 | 2 | 2 | 2 |
| 537 | 0 | 27 | Travel_Frequently | 294 | Research & Development | 10 | 2 | Life Sciences | 1 | 733 | 4 | Male | 32 | 3 | 3 | Manufacturing Director | 1 | Divorced | 8793 | 4809 | 1 | Y | No | 21 | 4 | 3 | 80 | 2 | 9 | 4 | 2 | 9 | 7 | 1 | 7 |
| 538 | 0 | 41 | Travel_Rarely | 314 | Human Resources | 1 | 3 | Human Resources | 1 | 734 | 4 | Male | 59 | 2 | 5 | Manager | 3 | Married | 19189 | 19562 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 22 | 3 | 3 | 22 | 7 | 2 | 10 |
| 539 | 0 | 50 | Travel_Rarely | 316 | Sales | 8 | 4 | Marketing | 1 | 738 | 4 | Male | 54 | 3 | 1 | Sales Representative | 2 | Married | 3875 | 9983 | 7 | Y | No | 15 | 3 | 4 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
| 540 | 1 | 28 | Travel_Rarely | 654 | Research & Development | 1 | 2 | Life Sciences | 1 | 741 | 1 | Female | 67 | 1 | 1 | Research Scientist | 2 | Single | 2216 | 3872 | 7 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 10 | 4 | 3 | 7 | 7 | 3 | 7 |
| 541 | 0 | 36 | Non-Travel | 427 | Research & Development | 8 | 3 | Life Sciences | 1 | 742 | 1 | Female | 63 | 4 | 3 | Research Director | 1 | Married | 11713 | 20335 | 9 | Y | No | 14 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 8 | 7 | 0 | 5 |
| 542 | 0 | 38 | Travel_Rarely | 168 | Research & Development | 1 | 3 | Life Sciences | 1 | 743 | 3 | Female | 81 | 3 | 3 | Manufacturing Director | 3 | Single | 7861 | 15397 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 4 | 4 | 1 | 0 | 0 | 0 |
| 543 | 0 | 44 | Non-Travel | 381 | Research & Development | 24 | 3 | Medical | 1 | 744 | 1 | Male | 49 | 1 | 1 | Laboratory Technician | 3 | Single | 3708 | 2104 | 2 | Y | No | 14 | 3 | 3 | 80 | 0 | 9 | 5 | 3 | 5 | 2 | 1 | 4 |
| 544 | 0 | 47 | Travel_Frequently | 217 | Sales | 3 | 3 | Medical | 1 | 746 | 4 | Female | 49 | 3 | 4 | Sales Executive | 3 | Divorced | 13770 | 10225 | 9 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 28 | 2 | 2 | 22 | 2 | 11 | 13 |
| 545 | 0 | 30 | Travel_Rarely | 501 | Sales | 27 | 5 | Marketing | 1 | 747 | 3 | Male | 99 | 3 | 2 | Sales Executive | 4 | Divorced | 5304 | 25275 | 7 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 2 | 2 | 8 | 7 | 7 | 7 |
| 546 | 0 | 29 | Travel_Rarely | 1396 | Sales | 10 | 3 | Life Sciences | 1 | 749 | 3 | Male | 99 | 3 | 1 | Sales Representative | 3 | Single | 2642 | 2755 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 1 | 6 | 3 | 1 | 0 | 0 | 0 |
| 547 | 1 | 42 | Travel_Frequently | 933 | Research & Development | 19 | 3 | Medical | 1 | 752 | 3 | Male | 57 | 4 | 1 | Research Scientist | 3 | Divorced | 2759 | 20366 | 6 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 7 | 2 | 3 | 2 | 2 | 2 | 2 |
| 548 | 0 | 43 | Travel_Frequently | 775 | Sales | 15 | 3 | Life Sciences | 1 | 754 | 4 | Male | 47 | 2 | 2 | Sales Executive | 4 | Married | 6804 | 23683 | 3 | Y | No | 18 | 3 | 3 | 80 | 1 | 7 | 5 | 3 | 2 | 2 | 2 | 2 |
| 549 | 0 | 34 | Travel_Rarely | 970 | Research & Development | 8 | 2 | Medical | 1 | 757 | 2 | Female | 96 | 3 | 2 | Healthcare Representative | 3 | Single | 6142 | 7360 | 3 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 5 | 1 | 4 | 3 |
| 550 | 0 | 23 | Travel_Rarely | 650 | Research & Development | 9 | 1 | Medical | 1 | 758 | 2 | Male | 37 | 3 | 1 | Laboratory Technician | 1 | Married | 2500 | 4344 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 5 | 2 | 4 | 4 | 3 | 0 | 2 |
| 551 | 0 | 39 | Travel_Rarely | 141 | Human Resources | 3 | 3 | Human Resources | 1 | 760 | 3 | Female | 44 | 4 | 2 | Human Resources | 2 | Married | 6389 | 18767 | 9 | Y | No | 15 | 3 | 3 | 80 | 1 | 12 | 3 | 1 | 8 | 3 | 3 | 6 |
| 552 | 0 | 56 | Travel_Rarely | 832 | Research & Development | 9 | 3 | Medical | 1 | 762 | 3 | Male | 81 | 3 | 4 | Healthcare Representative | 4 | Married | 11103 | 20420 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 30 | 1 | 2 | 10 | 7 | 1 | 1 |
| 553 | 0 | 40 | Travel_Rarely | 804 | Research & Development | 2 | 1 | Medical | 1 | 763 | 4 | Female | 86 | 2 | 1 | Research Scientist | 4 | Single | 2342 | 22929 | 0 | Y | Yes | 20 | 4 | 4 | 80 | 0 | 5 | 2 | 2 | 4 | 2 | 2 | 3 |
| 554 | 0 | 27 | Travel_Rarely | 975 | Research & Development | 7 | 3 | Medical | 1 | 764 | 4 | Female | 55 | 2 | 2 | Healthcare Representative | 1 | Single | 6811 | 23398 | 8 | Y | No | 19 | 3 | 1 | 80 | 0 | 9 | 2 | 1 | 7 | 6 | 0 | 7 |
| 555 | 0 | 29 | Travel_Rarely | 1090 | Sales | 10 | 3 | Marketing | 1 | 766 | 4 | Male | 83 | 3 | 1 | Sales Representative | 2 | Divorced | 2297 | 17967 | 1 | Y | No | 14 | 3 | 4 | 80 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 |
| 556 | 0 | 53 | Travel_Rarely | 346 | Research & Development | 6 | 3 | Life Sciences | 1 | 769 | 4 | Male | 86 | 3 | 2 | Laboratory Technician | 4 | Single | 2450 | 10919 | 2 | Y | No | 17 | 3 | 4 | 80 | 0 | 19 | 4 | 3 | 2 | 2 | 2 | 2 |
| 557 | 0 | 35 | Non-Travel | 1225 | Research & Development | 2 | 4 | Life Sciences | 1 | 771 | 4 | Female | 61 | 3 | 2 | Healthcare Representative | 1 | Divorced | 5093 | 4761 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 16 | 2 | 4 | 1 | 0 | 0 | 0 |
| 558 | 0 | 32 | Travel_Frequently | 430 | Research & Development | 24 | 4 | Life Sciences | 1 | 772 | 1 | Male | 80 | 3 | 2 | Laboratory Technician | 4 | Married | 5309 | 21146 | 1 | Y | No | 15 | 3 | 4 | 80 | 2 | 10 | 2 | 3 | 10 | 8 | 4 | 7 |
| 559 | 0 | 38 | Travel_Rarely | 268 | Research & Development | 2 | 5 | Medical | 1 | 773 | 4 | Male | 92 | 3 | 1 | Research Scientist | 3 | Married | 3057 | 20471 | 6 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 6 | 0 | 1 | 1 | 0 | 0 | 1 |
| 560 | 0 | 34 | Travel_Rarely | 167 | Research & Development | 8 | 5 | Life Sciences | 1 | 775 | 2 | Female | 32 | 3 | 2 | Manufacturing Director | 1 | Divorced | 5121 | 4187 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 7 | 3 | 3 | 0 | 0 | 0 | 0 |
| 561 | 0 | 52 | Travel_Rarely | 621 | Sales | 3 | 4 | Marketing | 1 | 776 | 3 | Male | 31 | 2 | 4 | Manager | 1 | Married | 16856 | 10084 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 34 | 3 | 4 | 34 | 6 | 1 | 16 |
| 562 | 1 | 33 | Travel_Rarely | 527 | Research & Development | 1 | 4 | Other | 1 | 780 | 4 | Male | 63 | 3 | 1 | Research Scientist | 4 | Single | 2686 | 5207 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 9 | 7 | 8 |
| 563 | 0 | 25 | Travel_Rarely | 883 | Sales | 26 | 1 | Medical | 1 | 781 | 3 | Female | 32 | 3 | 2 | Sales Executive | 4 | Single | 6180 | 22807 | 1 | Y | No | 23 | 4 | 2 | 80 | 0 | 6 | 5 | 2 | 6 | 5 | 1 | 4 |
| 564 | 0 | 45 | Travel_Rarely | 954 | Sales | 2 | 2 | Technical Degree | 1 | 783 | 2 | Male | 46 | 1 | 2 | Sales Representative | 3 | Single | 6632 | 12388 | 0 | Y | No | 13 | 3 | 1 | 80 | 0 | 9 | 3 | 3 | 8 | 7 | 3 | 1 |
| 565 | 0 | 23 | Travel_Rarely | 310 | Research & Development | 10 | 1 | Medical | 1 | 784 | 1 | Male | 79 | 4 | 1 | Research Scientist | 3 | Single | 3505 | 19630 | 1 | Y | No | 18 | 3 | 4 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 |
| 566 | 1 | 47 | Travel_Frequently | 719 | Sales | 27 | 2 | Life Sciences | 1 | 785 | 2 | Female | 77 | 4 | 2 | Sales Executive | 3 | Single | 6397 | 10339 | 4 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 5 | 4 | 1 | 3 |
| 567 | 0 | 34 | Travel_Rarely | 304 | Sales | 2 | 3 | Other | 1 | 786 | 4 | Male | 60 | 3 | 2 | Sales Executive | 4 | Single | 6274 | 18686 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 6 | 5 | 3 | 6 | 5 | 1 | 4 |
| 568 | 1 | 55 | Travel_Rarely | 725 | Research & Development | 2 | 3 | Medical | 1 | 787 | 4 | Male | 78 | 3 | 5 | Manager | 1 | Married | 19859 | 21199 | 5 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 24 | 2 | 3 | 5 | 2 | 1 | 4 |
| 569 | 0 | 36 | Non-Travel | 1434 | Sales | 8 | 4 | Life Sciences | 1 | 789 | 1 | Male | 76 | 2 | 3 | Sales Executive | 1 | Single | 7587 | 14229 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 1 | 3 | 10 | 7 | 0 | 9 |
| 570 | 0 | 52 | Non-Travel | 715 | Research & Development | 19 | 4 | Medical | 1 | 791 | 4 | Male | 41 | 3 | 1 | Research Scientist | 4 | Married | 4258 | 26589 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 5 | 3 | 3 | 4 | 3 | 1 | 2 |
| 571 | 0 | 26 | Travel_Frequently | 575 | Research & Development | 1 | 2 | Life Sciences | 1 | 792 | 1 | Female | 71 | 1 | 1 | Laboratory Technician | 4 | Divorced | 4364 | 5288 | 3 | Y | No | 14 | 3 | 1 | 80 | 1 | 5 | 2 | 3 | 2 | 2 | 2 | 0 |
| 572 | 0 | 29 | Travel_Rarely | 657 | Research & Development | 27 | 3 | Medical | 1 | 793 | 2 | Female | 66 | 3 | 2 | Healthcare Representative | 3 | Married | 4335 | 25549 | 4 | Y | No | 12 | 3 | 1 | 80 | 1 | 11 | 3 | 2 | 8 | 7 | 1 | 1 |
| 573 | 1 | 26 | Travel_Rarely | 1146 | Sales | 8 | 3 | Technical Degree | 1 | 796 | 4 | Male | 38 | 2 | 2 | Sales Executive | 1 | Single | 5326 | 3064 | 6 | Y | No | 17 | 3 | 3 | 80 | 0 | 6 | 2 | 2 | 4 | 3 | 1 | 2 |
| 574 | 0 | 34 | Travel_Rarely | 182 | Research & Development | 1 | 4 | Life Sciences | 1 | 797 | 2 | Female | 72 | 4 | 1 | Research Scientist | 4 | Single | 3280 | 13551 | 2 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 4 | 2 | 1 | 3 |
| 575 | 0 | 54 | Travel_Rarely | 376 | Research & Development | 19 | 4 | Medical | 1 | 799 | 4 | Female | 95 | 3 | 2 | Manufacturing Director | 1 | Divorced | 5485 | 22670 | 9 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 9 | 4 | 3 | 5 | 3 | 1 | 4 |
| 576 | 0 | 27 | Travel_Frequently | 829 | Sales | 8 | 1 | Marketing | 1 | 800 | 3 | Male | 84 | 3 | 2 | Sales Executive | 4 | Married | 4342 | 24008 | 0 | Y | No | 19 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 4 | 2 | 1 | 1 |
| 577 | 0 | 37 | Travel_Rarely | 571 | Research & Development | 10 | 1 | Life Sciences | 1 | 802 | 4 | Female | 82 | 3 | 1 | Research Scientist | 1 | Divorced | 2782 | 19905 | 0 | Y | Yes | 13 | 3 | 2 | 80 | 2 | 6 | 3 | 2 | 5 | 3 | 4 | 3 |
| 578 | 0 | 38 | Travel_Frequently | 240 | Research & Development | 2 | 4 | Life Sciences | 1 | 803 | 1 | Female | 75 | 4 | 2 | Manufacturing Director | 1 | Single | 5980 | 26085 | 6 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 17 | 2 | 3 | 15 | 7 | 4 | 12 |
| 579 | 0 | 34 | Travel_Rarely | 121 | Research & Development | 2 | 4 | Medical | 1 | 804 | 3 | Female | 86 | 2 | 1 | Research Scientist | 1 | Single | 4381 | 7530 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 5 | 1 | 3 |
| 580 | 0 | 35 | Travel_Rarely | 384 | Sales | 8 | 4 | Life Sciences | 1 | 805 | 1 | Female | 72 | 3 | 1 | Sales Representative | 4 | Married | 2572 | 20317 | 1 | Y | No | 16 | 3 | 2 | 80 | 1 | 3 | 1 | 2 | 3 | 2 | 0 | 2 |
| 581 | 0 | 30 | Travel_Rarely | 921 | Research & Development | 1 | 3 | Life Sciences | 1 | 806 | 4 | Male | 38 | 1 | 1 | Laboratory Technician | 3 | Married | 3833 | 24375 | 3 | Y | No | 21 | 4 | 3 | 80 | 2 | 7 | 2 | 3 | 2 | 2 | 0 | 2 |
| 582 | 0 | 40 | Travel_Frequently | 791 | Research & Development | 2 | 2 | Medical | 1 | 807 | 3 | Female | 38 | 4 | 2 | Healthcare Representative | 2 | Married | 4244 | 9931 | 1 | Y | No | 24 | 4 | 4 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 3 | 7 |
| 583 | 0 | 34 | Travel_Rarely | 1111 | Sales | 8 | 2 | Life Sciences | 1 | 808 | 3 | Female | 93 | 3 | 2 | Sales Executive | 1 | Married | 6500 | 13305 | 5 | Y | No | 17 | 3 | 2 | 80 | 1 | 6 | 1 | 3 | 3 | 2 | 1 | 2 |
| 584 | 0 | 42 | Travel_Frequently | 570 | Research & Development | 8 | 3 | Life Sciences | 1 | 809 | 2 | Male | 66 | 3 | 5 | Manager | 4 | Divorced | 18430 | 16225 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 24 | 4 | 2 | 24 | 7 | 14 | 9 |
| 585 | 1 | 23 | Travel_Rarely | 1243 | Research & Development | 6 | 3 | Life Sciences | 1 | 811 | 3 | Male | 63 | 4 | 1 | Laboratory Technician | 1 | Married | 1601 | 3445 | 1 | Y | Yes | 21 | 4 | 3 | 80 | 2 | 1 | 2 | 3 | 0 | 0 | 0 | 0 |
| 586 | 0 | 24 | Non-Travel | 1092 | Research & Development | 9 | 3 | Life Sciences | 1 | 812 | 3 | Male | 60 | 2 | 1 | Laboratory Technician | 2 | Divorced | 2694 | 26551 | 1 | Y | No | 11 | 3 | 3 | 80 | 3 | 1 | 4 | 3 | 1 | 0 | 0 | 0 |
| 587 | 0 | 52 | Travel_Rarely | 1325 | Research & Development | 11 | 4 | Life Sciences | 1 | 813 | 4 | Female | 82 | 3 | 2 | Laboratory Technician | 3 | Married | 3149 | 21821 | 8 | Y | No | 20 | 4 | 2 | 80 | 1 | 9 | 3 | 3 | 5 | 2 | 1 | 4 |
| 588 | 0 | 50 | Travel_Rarely | 691 | Research & Development | 2 | 3 | Medical | 1 | 815 | 3 | Male | 64 | 3 | 4 | Research Director | 3 | Married | 17639 | 6881 | 5 | Y | No | 16 | 3 | 4 | 80 | 0 | 30 | 3 | 3 | 4 | 3 | 0 | 3 |
| 589 | 1 | 29 | Travel_Rarely | 805 | Research & Development | 1 | 2 | Life Sciences | 1 | 816 | 2 | Female | 36 | 2 | 1 | Laboratory Technician | 1 | Married | 2319 | 6689 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 1 | 1 | 3 | 1 | 0 | 0 | 0 |
| 590 | 0 | 33 | Travel_Rarely | 213 | Research & Development | 7 | 3 | Medical | 1 | 817 | 3 | Male | 49 | 3 | 3 | Research Director | 3 | Married | 11691 | 25995 | 0 | Y | No | 11 | 3 | 4 | 80 | 0 | 14 | 3 | 4 | 13 | 9 | 3 | 7 |
| 591 | 1 | 33 | Travel_Rarely | 118 | Sales | 16 | 3 | Marketing | 1 | 819 | 1 | Female | 69 | 3 | 2 | Sales Executive | 1 | Single | 5324 | 26507 | 5 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 3 | 2 | 0 | 2 |
| 592 | 0 | 47 | Travel_Rarely | 202 | Research & Development | 2 | 2 | Other | 1 | 820 | 3 | Female | 33 | 3 | 4 | Manager | 4 | Married | 16752 | 12982 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 26 | 3 | 2 | 26 | 14 | 3 | 0 |
| 593 | 0 | 36 | Travel_Rarely | 676 | Research & Development | 1 | 3 | Other | 1 | 823 | 3 | Female | 35 | 3 | 2 | Manufacturing Director | 2 | Married | 5228 | 23361 | 0 | Y | No | 15 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 9 | 7 | 0 | 5 |
| 594 | 0 | 29 | Travel_Rarely | 1252 | Research & Development | 23 | 2 | Life Sciences | 1 | 824 | 3 | Male | 81 | 4 | 1 | Research Scientist | 3 | Married | 2700 | 23779 | 1 | Y | No | 24 | 4 | 3 | 80 | 1 | 10 | 3 | 3 | 10 | 7 | 0 | 7 |
| 595 | 1 | 58 | Travel_Rarely | 286 | Research & Development | 2 | 4 | Life Sciences | 1 | 825 | 4 | Male | 31 | 3 | 5 | Research Director | 2 | Single | 19246 | 25761 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 40 | 2 | 3 | 31 | 15 | 13 | 8 |
| 596 | 0 | 35 | Travel_Rarely | 1258 | Research & Development | 1 | 4 | Life Sciences | 1 | 826 | 4 | Female | 40 | 4 | 1 | Research Scientist | 3 | Single | 2506 | 13301 | 3 | Y | No | 13 | 3 | 3 | 80 | 0 | 7 | 0 | 3 | 2 | 2 | 2 | 2 |
| 597 | 0 | 42 | Travel_Rarely | 932 | Research & Development | 1 | 2 | Life Sciences | 1 | 827 | 4 | Female | 43 | 2 | 2 | Manufacturing Director | 4 | Married | 6062 | 4051 | 9 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 8 | 4 | 3 | 4 | 3 | 0 | 2 |
| 598 | 1 | 28 | Travel_Rarely | 890 | Research & Development | 2 | 4 | Medical | 1 | 828 | 3 | Male | 46 | 3 | 1 | Research Scientist | 3 | Single | 4382 | 16374 | 6 | Y | No | 17 | 3 | 4 | 80 | 0 | 5 | 3 | 2 | 2 | 2 | 2 | 1 |
| 599 | 0 | 36 | Travel_Rarely | 1041 | Human Resources | 13 | 3 | Human Resources | 1 | 829 | 3 | Male | 36 | 3 | 1 | Human Resources | 2 | Married | 2143 | 25527 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 8 | 2 | 3 | 5 | 2 | 0 | 4 |
| 600 | 0 | 32 | Travel_Rarely | 859 | Research & Development | 4 | 3 | Life Sciences | 1 | 830 | 3 | Female | 98 | 2 | 2 | Manufacturing Director | 3 | Married | 6162 | 19124 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 14 | 3 | 3 | 14 | 13 | 6 | 8 |
| 601 | 0 | 40 | Travel_Frequently | 720 | Research & Development | 16 | 4 | Medical | 1 | 832 | 1 | Male | 51 | 2 | 2 | Laboratory Technician | 3 | Single | 5094 | 11983 | 6 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 6 | 3 | 1 | 0 | 0 | 0 |
| 602 | 0 | 30 | Travel_Rarely | 946 | Research & Development | 2 | 3 | Medical | 1 | 833 | 3 | Female | 52 | 2 | 2 | Manufacturing Director | 4 | Single | 6877 | 20234 | 5 | Y | Yes | 24 | 4 | 2 | 80 | 0 | 12 | 4 | 2 | 0 | 0 | 0 | 0 |
| 603 | 0 | 45 | Travel_Rarely | 252 | Research & Development | 2 | 3 | Life Sciences | 1 | 834 | 2 | Female | 95 | 2 | 1 | Research Scientist | 3 | Single | 2274 | 6153 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 604 | 0 | 42 | Travel_Rarely | 933 | Research & Development | 29 | 3 | Life Sciences | 1 | 836 | 2 | Male | 98 | 3 | 2 | Manufacturing Director | 2 | Married | 4434 | 11806 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 9 | 8 | 7 | 8 |
| 605 | 0 | 38 | Travel_Frequently | 471 | Research & Development | 12 | 3 | Life Sciences | 1 | 837 | 1 | Male | 45 | 2 | 2 | Healthcare Representative | 1 | Divorced | 6288 | 4284 | 2 | Y | No | 15 | 3 | 3 | 80 | 1 | 13 | 3 | 2 | 4 | 3 | 1 | 2 |
| 606 | 0 | 34 | Travel_Frequently | 702 | Research & Development | 16 | 4 | Life Sciences | 1 | 838 | 3 | Female | 100 | 2 | 1 | Research Scientist | 4 | Single | 2553 | 8306 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 2 | 1 | 3 |
| 607 | 1 | 49 | Travel_Rarely | 1184 | Sales | 11 | 3 | Marketing | 1 | 840 | 3 | Female | 43 | 3 | 3 | Sales Executive | 4 | Married | 7654 | 5860 | 1 | Y | No | 18 | 3 | 1 | 80 | 2 | 9 | 3 | 4 | 9 | 8 | 7 | 7 |
| 608 | 1 | 55 | Travel_Rarely | 436 | Sales | 2 | 1 | Medical | 1 | 842 | 3 | Male | 37 | 3 | 2 | Sales Executive | 4 | Single | 5160 | 21519 | 4 | Y | No | 16 | 3 | 3 | 80 | 0 | 12 | 3 | 2 | 9 | 7 | 7 | 3 |
| 609 | 0 | 43 | Travel_Rarely | 589 | Research & Development | 14 | 2 | Life Sciences | 1 | 843 | 2 | Male | 94 | 3 | 4 | Research Director | 1 | Married | 17159 | 5200 | 6 | Y | No | 24 | 4 | 3 | 80 | 1 | 22 | 3 | 3 | 4 | 1 | 1 | 0 |
| 610 | 0 | 27 | Travel_Rarely | 269 | Research & Development | 5 | 1 | Technical Degree | 1 | 844 | 3 | Male | 42 | 2 | 3 | Research Director | 4 | Divorced | 12808 | 8842 | 1 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 9 | 3 | 3 | 9 | 8 | 0 | 8 |
| 611 | 0 | 35 | Travel_Rarely | 950 | Research & Development | 7 | 3 | Other | 1 | 845 | 3 | Male | 59 | 3 | 3 | Manufacturing Director | 3 | Single | 10221 | 18869 | 3 | Y | No | 21 | 4 | 2 | 80 | 0 | 17 | 3 | 4 | 8 | 5 | 1 | 6 |
| 612 | 0 | 28 | Travel_Rarely | 760 | Sales | 2 | 4 | Marketing | 1 | 846 | 2 | Female | 81 | 3 | 2 | Sales Executive | 2 | Married | 4779 | 3698 | 1 | Y | Yes | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 8 | 7 | 7 | 5 |
| 613 | 0 | 34 | Travel_Rarely | 829 | Human Resources | 3 | 2 | Human Resources | 1 | 847 | 3 | Male | 88 | 3 | 1 | Human Resources | 4 | Married | 3737 | 2243 | 0 | Y | No | 19 | 3 | 3 | 80 | 1 | 4 | 1 | 1 | 3 | 2 | 0 | 2 |
| 614 | 1 | 26 | Travel_Frequently | 887 | Research & Development | 5 | 2 | Medical | 1 | 848 | 3 | Female | 88 | 2 | 1 | Research Scientist | 3 | Married | 2366 | 20898 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 1 | 7 |
| 615 | 0 | 27 | Non-Travel | 443 | Research & Development | 3 | 3 | Medical | 1 | 850 | 4 | Male | 50 | 3 | 1 | Research Scientist | 4 | Married | 1706 | 16571 | 1 | Y | No | 11 | 3 | 3 | 80 | 3 | 0 | 6 | 2 | 0 | 0 | 0 | 0 |
| 616 | 0 | 51 | Travel_Rarely | 1318 | Sales | 26 | 4 | Marketing | 1 | 851 | 1 | Female | 66 | 3 | 4 | Manager | 3 | Married | 16307 | 5594 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 29 | 2 | 2 | 20 | 6 | 4 | 17 |
| 617 | 0 | 44 | Travel_Rarely | 625 | Research & Development | 4 | 3 | Medical | 1 | 852 | 4 | Male | 50 | 3 | 2 | Healthcare Representative | 2 | Single | 5933 | 5197 | 9 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 2 | 2 | 5 | 2 | 2 | 3 |
| 618 | 0 | 25 | Travel_Rarely | 180 | Research & Development | 2 | 1 | Medical | 1 | 854 | 1 | Male | 65 | 4 | 1 | Research Scientist | 1 | Single | 3424 | 21632 | 7 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 4 | 3 | 0 | 1 |
| 619 | 0 | 33 | Travel_Rarely | 586 | Sales | 1 | 3 | Medical | 1 | 855 | 1 | Male | 48 | 4 | 2 | Sales Executive | 1 | Divorced | 4037 | 21816 | 1 | Y | No | 22 | 4 | 1 | 80 | 1 | 9 | 5 | 3 | 9 | 8 | 0 | 8 |
| 620 | 0 | 35 | Travel_Rarely | 1343 | Research & Development | 27 | 1 | Medical | 1 | 856 | 3 | Female | 53 | 2 | 1 | Research Scientist | 1 | Single | 2559 | 17852 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 6 | 3 | 2 | 6 | 5 | 1 | 1 |
| 621 | 0 | 36 | Travel_Rarely | 928 | Sales | 1 | 2 | Life Sciences | 1 | 857 | 2 | Male | 56 | 3 | 2 | Sales Executive | 4 | Married | 6201 | 2823 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 18 | 1 | 2 | 18 | 14 | 4 | 11 |
| 622 | 0 | 32 | Travel_Rarely | 117 | Sales | 13 | 4 | Life Sciences | 1 | 859 | 2 | Male | 73 | 3 | 2 | Sales Executive | 4 | Divorced | 4403 | 9250 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 8 | 3 | 2 | 5 | 2 | 0 | 3 |
| 623 | 0 | 30 | Travel_Frequently | 1012 | Research & Development | 5 | 4 | Life Sciences | 1 | 861 | 2 | Male | 75 | 2 | 1 | Research Scientist | 4 | Divorced | 3761 | 2373 | 9 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 5 | 4 | 0 | 3 |
| 624 | 0 | 53 | Travel_Rarely | 661 | Sales | 7 | 2 | Marketing | 1 | 862 | 1 | Female | 78 | 2 | 3 | Sales Executive | 4 | Married | 10934 | 20715 | 7 | Y | Yes | 18 | 3 | 4 | 80 | 1 | 35 | 3 | 3 | 5 | 2 | 0 | 4 |
| 625 | 0 | 45 | Travel_Rarely | 930 | Sales | 9 | 3 | Marketing | 1 | 864 | 4 | Male | 74 | 3 | 3 | Sales Executive | 1 | Divorced | 10761 | 19239 | 4 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 18 | 2 | 3 | 5 | 4 | 0 | 2 |
| 626 | 0 | 32 | Travel_Rarely | 638 | Research & Development | 8 | 2 | Medical | 1 | 865 | 3 | Female | 91 | 4 | 2 | Research Scientist | 3 | Married | 5175 | 22162 | 5 | Y | No | 12 | 3 | 3 | 80 | 1 | 9 | 3 | 2 | 5 | 3 | 1 | 3 |
| 627 | 0 | 52 | Travel_Frequently | 890 | Research & Development | 25 | 4 | Medical | 1 | 867 | 3 | Female | 81 | 2 | 4 | Manufacturing Director | 4 | Married | 13826 | 19028 | 3 | Y | No | 22 | 4 | 3 | 80 | 0 | 31 | 3 | 3 | 9 | 8 | 0 | 0 |
| 628 | 0 | 37 | Travel_Rarely | 342 | Sales | 16 | 4 | Marketing | 1 | 868 | 4 | Male | 66 | 2 | 2 | Sales Executive | 3 | Divorced | 6334 | 24558 | 4 | Y | No | 19 | 3 | 4 | 80 | 2 | 9 | 2 | 3 | 1 | 0 | 0 | 0 |
| 629 | 0 | 28 | Travel_Rarely | 1169 | Human Resources | 8 | 2 | Medical | 1 | 869 | 2 | Male | 63 | 2 | 1 | Human Resources | 4 | Divorced | 4936 | 23965 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 6 | 6 | 3 | 5 | 1 | 0 | 4 |
| 630 | 0 | 22 | Travel_Rarely | 1230 | Research & Development | 1 | 2 | Life Sciences | 1 | 872 | 4 | Male | 33 | 2 | 2 | Manufacturing Director | 4 | Married | 4775 | 19146 | 6 | Y | No | 22 | 4 | 1 | 80 | 2 | 4 | 2 | 1 | 2 | 2 | 2 | 2 |
| 631 | 0 | 44 | Travel_Rarely | 986 | Research & Development | 8 | 4 | Life Sciences | 1 | 874 | 1 | Male | 62 | 4 | 1 | Laboratory Technician | 4 | Married | 2818 | 5044 | 2 | Y | Yes | 24 | 4 | 3 | 80 | 1 | 10 | 2 | 2 | 3 | 2 | 0 | 2 |
| 632 | 0 | 42 | Travel_Frequently | 1271 | Research & Development | 2 | 1 | Medical | 1 | 875 | 2 | Male | 35 | 3 | 1 | Research Scientist | 4 | Single | 2515 | 9068 | 5 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 2 | 1 | 2 | 2 |
| 633 | 0 | 36 | Travel_Rarely | 1278 | Human Resources | 8 | 3 | Life Sciences | 1 | 878 | 1 | Male | 77 | 2 | 1 | Human Resources | 1 | Married | 2342 | 8635 | 0 | Y | No | 21 | 4 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 4 | 0 | 3 |
| 634 | 0 | 25 | Travel_Rarely | 141 | Sales | 3 | 1 | Other | 1 | 879 | 3 | Male | 98 | 3 | 2 | Sales Executive | 1 | Married | 4194 | 14363 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 3 | 0 | 3 |
| 635 | 0 | 35 | Travel_Rarely | 607 | Research & Development | 9 | 3 | Life Sciences | 1 | 880 | 4 | Female | 66 | 2 | 3 | Manufacturing Director | 3 | Married | 10685 | 23457 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 17 | 2 | 3 | 17 | 14 | 5 | 15 |
| 636 | 1 | 35 | Travel_Frequently | 130 | Research & Development | 25 | 4 | Life Sciences | 1 | 881 | 4 | Female | 96 | 3 | 1 | Research Scientist | 2 | Divorced | 2022 | 16612 | 1 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 10 | 2 | 7 | 8 |
| 637 | 0 | 32 | Non-Travel | 300 | Research & Development | 1 | 3 | Life Sciences | 1 | 882 | 4 | Male | 61 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2314 | 9148 | 0 | Y | No | 12 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 3 | 0 | 0 | 2 |
| 638 | 0 | 25 | Travel_Rarely | 583 | Sales | 4 | 1 | Marketing | 1 | 885 | 3 | Male | 87 | 2 | 2 | Sales Executive | 1 | Married | 4256 | 18154 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 5 | 1 | 4 | 5 | 2 | 0 | 3 |
| 639 | 0 | 49 | Travel_Rarely | 1418 | Research & Development | 1 | 3 | Technical Degree | 1 | 887 | 3 | Female | 36 | 3 | 1 | Research Scientist | 1 | Married | 3580 | 10554 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 7 | 2 | 3 | 4 | 2 | 0 | 2 |
| 640 | 0 | 24 | Non-Travel | 1269 | Research & Development | 4 | 1 | Life Sciences | 1 | 888 | 1 | Male | 46 | 2 | 1 | Laboratory Technician | 4 | Married | 3162 | 10778 | 0 | Y | No | 17 | 3 | 4 | 80 | 0 | 6 | 2 | 2 | 5 | 2 | 3 | 4 |
| 641 | 0 | 32 | Travel_Frequently | 379 | Sales | 5 | 2 | Life Sciences | 1 | 889 | 2 | Male | 48 | 3 | 2 | Sales Executive | 2 | Married | 6524 | 8891 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 8 | 5 | 3 |
| 642 | 0 | 38 | Travel_Rarely | 395 | Sales | 9 | 3 | Marketing | 1 | 893 | 2 | Male | 98 | 2 | 1 | Sales Representative | 2 | Married | 2899 | 12102 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 3 | 3 | 3 | 2 | 2 | 1 | 2 |
| 643 | 0 | 42 | Travel_Rarely | 1265 | Research & Development | 3 | 3 | Life Sciences | 1 | 894 | 3 | Female | 95 | 4 | 2 | Laboratory Technician | 4 | Married | 5231 | 23726 | 2 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 17 | 1 | 2 | 5 | 3 | 1 | 3 |
| 644 | 0 | 31 | Travel_Rarely | 1222 | Research & Development | 11 | 4 | Life Sciences | 1 | 895 | 4 | Male | 48 | 3 | 1 | Research Scientist | 4 | Married | 2356 | 14871 | 3 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 8 | 2 | 3 | 6 | 4 | 0 | 2 |
| 645 | 1 | 29 | Travel_Rarely | 341 | Sales | 1 | 3 | Medical | 1 | 896 | 2 | Female | 48 | 2 | 1 | Sales Representative | 3 | Divorced | 2800 | 23522 | 6 | Y | Yes | 19 | 3 | 3 | 80 | 3 | 5 | 3 | 3 | 3 | 2 | 0 | 2 |
| 646 | 0 | 53 | Travel_Rarely | 868 | Sales | 8 | 3 | Marketing | 1 | 897 | 1 | Male | 73 | 3 | 4 | Sales Executive | 4 | Married | 11836 | 22789 | 5 | Y | No | 14 | 3 | 3 | 80 | 1 | 28 | 3 | 3 | 2 | 0 | 2 | 2 |
| 647 | 0 | 35 | Travel_Rarely | 672 | Research & Development | 25 | 3 | Technical Degree | 1 | 899 | 4 | Male | 78 | 2 | 3 | Manufacturing Director | 2 | Married | 10903 | 9129 | 3 | Y | No | 16 | 3 | 1 | 80 | 0 | 16 | 2 | 3 | 13 | 10 | 4 | 8 |
| 648 | 0 | 37 | Travel_Frequently | 1231 | Sales | 21 | 2 | Medical | 1 | 900 | 3 | Female | 54 | 3 | 1 | Sales Representative | 4 | Married | 2973 | 21222 | 5 | Y | No | 15 | 3 | 2 | 80 | 1 | 10 | 3 | 3 | 5 | 4 | 0 | 0 |
| 649 | 0 | 53 | Travel_Rarely | 102 | Research & Development | 23 | 4 | Life Sciences | 1 | 901 | 4 | Female | 72 | 3 | 4 | Research Director | 4 | Single | 14275 | 20206 | 6 | Y | No | 18 | 3 | 3 | 80 | 0 | 33 | 0 | 3 | 12 | 9 | 3 | 8 |
| 650 | 0 | 43 | Travel_Frequently | 422 | Research & Development | 1 | 3 | Life Sciences | 1 | 902 | 4 | Female | 33 | 3 | 2 | Healthcare Representative | 4 | Married | 5562 | 21782 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 12 | 2 | 2 | 5 | 2 | 2 | 2 |
| 651 | 0 | 47 | Travel_Rarely | 249 | Sales | 2 | 2 | Marketing | 1 | 903 | 3 | Female | 35 | 3 | 2 | Sales Executive | 4 | Married | 4537 | 17783 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 1 | 8 | 2 | 3 | 7 | 6 | 7 | 7 |
| 652 | 0 | 37 | Non-Travel | 1252 | Sales | 19 | 2 | Medical | 1 | 904 | 1 | Male | 32 | 3 | 3 | Sales Executive | 2 | Single | 7642 | 4814 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 0 | 0 | 9 |
| 653 | 0 | 50 | Non-Travel | 881 | Research & Development | 2 | 4 | Life Sciences | 1 | 905 | 1 | Male | 98 | 3 | 4 | Manager | 1 | Divorced | 17924 | 4544 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 31 | 3 | 3 | 31 | 6 | 14 | 7 |
| 654 | 0 | 39 | Travel_Rarely | 1383 | Human Resources | 2 | 3 | Life Sciences | 1 | 909 | 4 | Female | 42 | 2 | 2 | Human Resources | 4 | Married | 5204 | 7790 | 8 | Y | No | 11 | 3 | 3 | 80 | 2 | 13 | 2 | 3 | 5 | 4 | 0 | 4 |
| 655 | 0 | 33 | Travel_Rarely | 1075 | Human Resources | 3 | 2 | Human Resources | 1 | 910 | 4 | Male | 57 | 3 | 1 | Human Resources | 2 | Divorced | 2277 | 22650 | 3 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 7 | 4 | 4 | 4 | 3 | 0 | 3 |
| 656 | 1 | 32 | Travel_Rarely | 374 | Research & Development | 25 | 4 | Life Sciences | 1 | 911 | 1 | Male | 87 | 3 | 1 | Laboratory Technician | 4 | Single | 2795 | 18016 | 1 | Y | Yes | 24 | 4 | 3 | 80 | 0 | 1 | 2 | 1 | 1 | 0 | 0 | 1 |
| 657 | 0 | 29 | Travel_Rarely | 1086 | Research & Development | 7 | 1 | Medical | 1 | 912 | 1 | Female | 62 | 2 | 1 | Laboratory Technician | 4 | Divorced | 2532 | 6054 | 6 | Y | No | 14 | 3 | 3 | 80 | 3 | 8 | 5 | 3 | 4 | 3 | 0 | 3 |
| 658 | 0 | 44 | Travel_Rarely | 661 | Research & Development | 9 | 2 | Life Sciences | 1 | 913 | 2 | Male | 61 | 3 | 1 | Research Scientist | 1 | Married | 2559 | 7508 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 8 | 0 | 3 | 8 | 7 | 7 | 1 |
| 659 | 0 | 28 | Travel_Rarely | 821 | Sales | 5 | 4 | Medical | 1 | 916 | 1 | Male | 98 | 3 | 2 | Sales Executive | 4 | Single | 4908 | 24252 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 4 | 3 | 3 | 4 | 2 | 0 | 2 |
| 660 | 1 | 58 | Travel_Frequently | 781 | Research & Development | 2 | 1 | Life Sciences | 1 | 918 | 4 | Male | 57 | 2 | 1 | Laboratory Technician | 4 | Divorced | 2380 | 13384 | 9 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 3 | 2 | 1 | 0 | 0 | 0 |
| 661 | 0 | 43 | Travel_Rarely | 177 | Research & Development | 8 | 3 | Life Sciences | 1 | 920 | 1 | Female | 55 | 3 | 2 | Manufacturing Director | 2 | Divorced | 4765 | 23814 | 4 | Y | No | 21 | 4 | 3 | 80 | 1 | 4 | 2 | 4 | 1 | 0 | 0 | 0 |
| 662 | 1 | 20 | Travel_Rarely | 500 | Sales | 2 | 3 | Medical | 1 | 922 | 3 | Female | 49 | 2 | 1 | Sales Representative | 3 | Single | 2044 | 22052 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 0 | 2 |
| 663 | 1 | 21 | Travel_Rarely | 1427 | Research & Development | 18 | 1 | Other | 1 | 923 | 4 | Female | 65 | 3 | 1 | Research Scientist | 4 | Single | 2693 | 8870 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 0 | 0 |
| 664 | 0 | 36 | Travel_Rarely | 1425 | Research & Development | 14 | 1 | Life Sciences | 1 | 924 | 3 | Male | 68 | 3 | 2 | Healthcare Representative | 4 | Married | 6586 | 4821 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 17 | 2 | 2 | 16 | 8 | 4 | 11 |
| 665 | 0 | 47 | Travel_Rarely | 1454 | Sales | 2 | 4 | Life Sciences | 1 | 925 | 4 | Female | 65 | 2 | 1 | Sales Representative | 4 | Single | 3294 | 13137 | 1 | Y | Yes | 18 | 3 | 1 | 80 | 0 | 3 | 3 | 2 | 3 | 2 | 1 | 2 |
| 666 | 1 | 22 | Travel_Rarely | 617 | Research & Development | 3 | 1 | Life Sciences | 1 | 926 | 2 | Female | 34 | 3 | 2 | Manufacturing Director | 3 | Married | 4171 | 10022 | 0 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 4 | 3 | 4 | 3 | 2 | 0 | 2 |
| 667 | 1 | 41 | Travel_Rarely | 1085 | Research & Development | 2 | 4 | Life Sciences | 1 | 927 | 2 | Female | 57 | 1 | 1 | Laboratory Technician | 4 | Divorced | 2778 | 17725 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 1 | 2 | 7 | 7 | 1 | 0 |
| 668 | 0 | 28 | Travel_Rarely | 995 | Research & Development | 9 | 3 | Medical | 1 | 930 | 3 | Female | 77 | 3 | 1 | Research Scientist | 3 | Divorced | 2377 | 9834 | 5 | Y | No | 18 | 3 | 2 | 80 | 1 | 6 | 2 | 3 | 2 | 2 | 2 | 2 |
| 669 | 1 | 39 | Travel_Rarely | 1122 | Research & Development | 6 | 3 | Medical | 1 | 932 | 4 | Male | 70 | 3 | 1 | Laboratory Technician | 1 | Married | 2404 | 4303 | 7 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 8 | 2 | 1 | 2 | 2 | 2 | 2 |
| 670 | 0 | 27 | Travel_Rarely | 618 | Research & Development | 4 | 3 | Life Sciences | 1 | 933 | 2 | Female | 76 | 3 | 1 | Research Scientist | 3 | Single | 2318 | 17808 | 1 | Y | No | 19 | 3 | 3 | 80 | 0 | 1 | 2 | 3 | 1 | 1 | 0 | 0 |
| 671 | 0 | 34 | Travel_Rarely | 546 | Research & Development | 10 | 3 | Life Sciences | 1 | 934 | 2 | Male | 83 | 3 | 1 | Laboratory Technician | 2 | Divorced | 2008 | 6896 | 1 | Y | No | 14 | 3 | 2 | 80 | 2 | 1 | 3 | 3 | 1 | 0 | 1 | 0 |
| 672 | 0 | 42 | Travel_Rarely | 462 | Sales | 14 | 2 | Medical | 1 | 936 | 3 | Female | 68 | 2 | 2 | Sales Executive | 3 | Single | 6244 | 7824 | 7 | Y | No | 17 | 3 | 1 | 80 | 0 | 10 | 6 | 3 | 5 | 4 | 0 | 3 |
| 673 | 0 | 33 | Travel_Rarely | 1198 | Research & Development | 1 | 4 | Other | 1 | 939 | 3 | Male | 100 | 2 | 1 | Research Scientist | 1 | Single | 2799 | 3339 | 3 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 6 | 1 | 3 | 3 | 2 | 0 | 2 |
| 674 | 0 | 58 | Travel_Rarely | 1272 | Research & Development | 5 | 3 | Technical Degree | 1 | 940 | 3 | Female | 37 | 2 | 3 | Healthcare Representative | 2 | Divorced | 10552 | 9255 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 24 | 3 | 3 | 6 | 0 | 0 | 4 |
| 675 | 0 | 31 | Travel_Rarely | 154 | Sales | 7 | 4 | Life Sciences | 1 | 941 | 2 | Male | 41 | 2 | 1 | Sales Representative | 3 | Married | 2329 | 11737 | 3 | Y | No | 15 | 3 | 2 | 80 | 0 | 13 | 2 | 4 | 7 | 7 | 5 | 2 |
| 676 | 0 | 35 | Travel_Rarely | 1137 | Research & Development | 21 | 1 | Life Sciences | 1 | 942 | 4 | Female | 51 | 3 | 2 | Healthcare Representative | 4 | Married | 4014 | 19170 | 1 | Y | Yes | 25 | 4 | 4 | 80 | 1 | 10 | 2 | 1 | 10 | 6 | 0 | 7 |
| 677 | 0 | 49 | Travel_Rarely | 527 | Research & Development | 8 | 2 | Other | 1 | 944 | 1 | Female | 51 | 3 | 3 | Laboratory Technician | 2 | Married | 7403 | 22477 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 29 | 3 | 2 | 26 | 9 | 1 | 7 |
| 678 | 0 | 48 | Travel_Rarely | 1469 | Research & Development | 20 | 4 | Medical | 1 | 945 | 4 | Male | 51 | 3 | 1 | Research Scientist | 3 | Married | 2259 | 5543 | 4 | Y | No | 17 | 3 | 1 | 80 | 2 | 13 | 2 | 2 | 0 | 0 | 0 | 0 |
| 679 | 0 | 31 | Non-Travel | 1188 | Sales | 20 | 2 | Marketing | 1 | 947 | 4 | Female | 45 | 3 | 2 | Sales Executive | 3 | Married | 6932 | 24406 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 9 | 2 | 2 | 9 | 8 | 0 | 0 |
| 680 | 0 | 36 | Travel_Rarely | 188 | Research & Development | 7 | 4 | Other | 1 | 949 | 2 | Male | 65 | 3 | 1 | Research Scientist | 4 | Single | 4678 | 23293 | 2 | Y | No | 18 | 3 | 3 | 80 | 0 | 8 | 6 | 3 | 6 | 2 | 0 | 1 |
| 681 | 0 | 38 | Travel_Rarely | 1333 | Research & Development | 1 | 3 | Technical Degree | 1 | 950 | 4 | Female | 80 | 3 | 3 | Research Director | 1 | Married | 13582 | 16292 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 15 | 12 | 5 | 11 |
| 682 | 0 | 32 | Non-Travel | 1184 | Research & Development | 1 | 3 | Life Sciences | 1 | 951 | 3 | Female | 70 | 2 | 1 | Laboratory Technician | 2 | Married | 2332 | 3974 | 6 | Y | No | 20 | 4 | 3 | 80 | 0 | 5 | 3 | 3 | 3 | 0 | 0 | 2 |
| 683 | 1 | 25 | Travel_Rarely | 867 | Sales | 19 | 2 | Marketing | 1 | 952 | 3 | Male | 36 | 2 | 1 | Sales Representative | 2 | Married | 2413 | 18798 | 1 | Y | Yes | 18 | 3 | 3 | 80 | 3 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 684 | 0 | 40 | Travel_Rarely | 658 | Sales | 10 | 4 | Marketing | 1 | 954 | 1 | Male | 67 | 2 | 3 | Sales Executive | 2 | Divorced | 9705 | 20652 | 2 | Y | No | 12 | 3 | 2 | 80 | 1 | 11 | 2 | 2 | 1 | 0 | 0 | 0 |
| 685 | 0 | 26 | Travel_Frequently | 1283 | Sales | 1 | 3 | Medical | 1 | 956 | 3 | Male | 52 | 2 | 2 | Sales Executive | 1 | Single | 4294 | 11148 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 7 | 2 | 3 | 7 | 7 | 0 | 7 |
| 686 | 0 | 41 | Travel_Rarely | 263 | Research & Development | 6 | 3 | Medical | 1 | 957 | 4 | Male | 59 | 3 | 1 | Laboratory Technician | 1 | Single | 4721 | 3119 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 20 | 3 | 3 | 18 | 13 | 2 | 17 |
| 687 | 0 | 36 | Travel_Rarely | 938 | Research & Development | 2 | 4 | Medical | 1 | 958 | 3 | Male | 79 | 3 | 1 | Laboratory Technician | 3 | Single | 2519 | 12287 | 4 | Y | No | 21 | 4 | 3 | 80 | 0 | 16 | 6 | 3 | 11 | 8 | 3 | 9 |
| 688 | 1 | 19 | Travel_Rarely | 419 | Sales | 21 | 3 | Other | 1 | 959 | 4 | Male | 37 | 2 | 1 | Sales Representative | 2 | Single | 2121 | 9947 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 |
| 689 | 1 | 20 | Travel_Rarely | 129 | Research & Development | 4 | 3 | Technical Degree | 1 | 960 | 1 | Male | 84 | 3 | 1 | Laboratory Technician | 1 | Single | 2973 | 13008 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 690 | 0 | 31 | Travel_Rarely | 616 | Research & Development | 12 | 3 | Medical | 1 | 961 | 4 | Female | 41 | 3 | 2 | Healthcare Representative | 4 | Married | 5855 | 17369 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 2 | 10 | 2 | 1 | 9 | 7 | 8 | 5 |
| 691 | 0 | 40 | Travel_Frequently | 1469 | Research & Development | 9 | 4 | Medical | 1 | 964 | 4 | Male | 35 | 3 | 1 | Research Scientist | 2 | Divorced | 3617 | 25063 | 8 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 1 | 1 | 0 | 0 |
| 692 | 0 | 32 | Travel_Rarely | 498 | Research & Development | 3 | 4 | Medical | 1 | 966 | 3 | Female | 93 | 3 | 2 | Manufacturing Director | 1 | Married | 6725 | 13554 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 8 | 2 | 4 | 8 | 7 | 6 | 3 |
| 693 | 1 | 36 | Travel_Rarely | 530 | Sales | 3 | 1 | Life Sciences | 1 | 967 | 3 | Male | 51 | 2 | 3 | Sales Executive | 4 | Married | 10325 | 5518 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 16 | 6 | 3 | 16 | 7 | 3 | 7 |
| 694 | 0 | 33 | Travel_Rarely | 1069 | Research & Development | 1 | 3 | Life Sciences | 1 | 969 | 2 | Female | 42 | 2 | 2 | Healthcare Representative | 4 | Single | 6949 | 12291 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 5 | 0 | 1 | 4 |
| 695 | 1 | 37 | Travel_Rarely | 625 | Sales | 1 | 4 | Life Sciences | 1 | 970 | 1 | Male | 46 | 2 | 3 | Sales Executive | 3 | Married | 10609 | 14922 | 5 | Y | No | 11 | 3 | 3 | 80 | 0 | 17 | 2 | 1 | 14 | 1 | 11 | 7 |
| 696 | 0 | 45 | Non-Travel | 805 | Research & Development | 4 | 2 | Life Sciences | 1 | 972 | 3 | Male | 57 | 3 | 2 | Laboratory Technician | 2 | Married | 4447 | 23163 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 9 | 5 | 2 | 9 | 7 | 0 | 8 |
| 697 | 0 | 29 | Travel_Frequently | 1404 | Sales | 20 | 3 | Technical Degree | 1 | 974 | 3 | Female | 84 | 3 | 1 | Sales Representative | 4 | Married | 2157 | 18203 | 1 | Y | No | 15 | 3 | 2 | 80 | 1 | 3 | 5 | 3 | 3 | 1 | 0 | 2 |
| 698 | 0 | 35 | Travel_Rarely | 1219 | Sales | 18 | 3 | Medical | 1 | 975 | 3 | Female | 86 | 3 | 2 | Sales Executive | 3 | Married | 4601 | 6179 | 1 | Y | No | 16 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 2 | 1 | 0 |
| 699 | 0 | 52 | Travel_Rarely | 1053 | Research & Development | 1 | 2 | Life Sciences | 1 | 976 | 4 | Male | 70 | 3 | 4 | Manager | 4 | Married | 17099 | 13829 | 2 | Y | No | 15 | 3 | 2 | 80 | 1 | 26 | 2 | 2 | 9 | 8 | 7 | 8 |
| 700 | 1 | 58 | Travel_Rarely | 289 | Research & Development | 2 | 3 | Technical Degree | 1 | 977 | 4 | Male | 51 | 3 | 1 | Research Scientist | 3 | Single | 2479 | 26227 | 4 | Y | No | 24 | 4 | 1 | 80 | 0 | 7 | 4 | 3 | 1 | 0 | 0 | 0 |
| 701 | 0 | 53 | Travel_Rarely | 1376 | Sales | 2 | 2 | Medical | 1 | 981 | 3 | Male | 45 | 3 | 4 | Manager | 3 | Divorced | 14852 | 13938 | 6 | Y | No | 13 | 3 | 3 | 80 | 1 | 22 | 3 | 4 | 17 | 13 | 15 | 2 |
| 702 | 0 | 30 | Travel_Rarely | 231 | Sales | 8 | 2 | Other | 1 | 982 | 3 | Male | 62 | 3 | 3 | Sales Executive | 3 | Divorced | 7264 | 9977 | 5 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 4 | 8 | 4 | 7 | 7 |
| 703 | 0 | 38 | Non-Travel | 152 | Sales | 10 | 3 | Technical Degree | 1 | 983 | 3 | Female | 85 | 3 | 2 | Sales Executive | 4 | Single | 5666 | 19899 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 6 | 1 | 3 | 5 | 3 | 1 | 3 |
| 704 | 0 | 35 | Travel_Rarely | 882 | Sales | 3 | 4 | Life Sciences | 1 | 984 | 4 | Male | 92 | 3 | 3 | Sales Executive | 4 | Divorced | 7823 | 6812 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 12 | 2 | 3 | 10 | 9 | 0 | 8 |
| 705 | 0 | 39 | Travel_Rarely | 903 | Sales | 2 | 5 | Life Sciences | 1 | 985 | 1 | Male | 41 | 4 | 3 | Sales Executive | 3 | Single | 7880 | 2560 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 8 | 7 | 0 | 7 |
| 706 | 1 | 40 | Non-Travel | 1479 | Sales | 24 | 3 | Life Sciences | 1 | 986 | 2 | Female | 100 | 4 | 4 | Sales Executive | 2 | Single | 13194 | 17071 | 4 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 22 | 2 | 2 | 1 | 0 | 0 | 0 |
| 707 | 0 | 47 | Travel_Frequently | 1379 | Research & Development | 16 | 4 | Medical | 1 | 987 | 3 | Male | 64 | 4 | 2 | Manufacturing Director | 3 | Divorced | 5067 | 6759 | 1 | Y | Yes | 19 | 3 | 3 | 80 | 0 | 20 | 3 | 4 | 19 | 10 | 2 | 7 |
| 708 | 0 | 36 | Non-Travel | 1229 | Sales | 8 | 4 | Technical Degree | 1 | 990 | 1 | Male | 84 | 3 | 2 | Sales Executive | 4 | Divorced | 5079 | 25952 | 4 | Y | No | 13 | 3 | 4 | 80 | 2 | 12 | 3 | 3 | 7 | 7 | 0 | 7 |
| 709 | 1 | 31 | Non-Travel | 335 | Research & Development | 9 | 2 | Medical | 1 | 991 | 3 | Male | 46 | 2 | 1 | Research Scientist | 1 | Single | 2321 | 10322 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 0 | 4 | 0 | 3 | 3 | 2 | 1 | 2 |
| 710 | 0 | 33 | Non-Travel | 722 | Sales | 17 | 3 | Life Sciences | 1 | 992 | 4 | Male | 38 | 3 | 4 | Manager | 3 | Single | 17444 | 20489 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 6 | 0 |
| 711 | 1 | 29 | Travel_Rarely | 906 | Research & Development | 10 | 3 | Life Sciences | 1 | 994 | 4 | Female | 92 | 2 | 1 | Research Scientist | 1 | Single | 2404 | 11479 | 6 | Y | Yes | 20 | 4 | 3 | 80 | 0 | 3 | 5 | 3 | 0 | 0 | 0 | 0 |
| 712 | 0 | 33 | Travel_Rarely | 461 | Research & Development | 13 | 1 | Life Sciences | 1 | 995 | 2 | Female | 53 | 3 | 1 | Research Scientist | 4 | Single | 3452 | 17241 | 3 | Y | No | 18 | 3 | 1 | 80 | 0 | 5 | 4 | 3 | 3 | 2 | 0 | 2 |
| 713 | 0 | 45 | Travel_Rarely | 974 | Research & Development | 1 | 4 | Medical | 1 | 996 | 4 | Female | 91 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2270 | 11005 | 3 | Y | No | 14 | 3 | 4 | 80 | 2 | 8 | 2 | 3 | 5 | 3 | 0 | 2 |
| 714 | 0 | 50 | Travel_Rarely | 1126 | Research & Development | 1 | 2 | Medical | 1 | 997 | 4 | Male | 66 | 3 | 4 | Research Director | 4 | Divorced | 17399 | 6615 | 9 | Y | No | 22 | 4 | 3 | 80 | 1 | 32 | 1 | 2 | 5 | 4 | 1 | 3 |
| 715 | 0 | 33 | Travel_Frequently | 827 | Research & Development | 1 | 4 | Other | 1 | 998 | 3 | Female | 84 | 4 | 2 | Healthcare Representative | 2 | Married | 5488 | 20161 | 1 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 6 | 2 | 3 | 6 | 5 | 1 | 2 |
| 716 | 0 | 41 | Travel_Frequently | 840 | Research & Development | 9 | 3 | Medical | 1 | 999 | 1 | Male | 64 | 3 | 5 | Research Director | 3 | Divorced | 19419 | 3735 | 2 | Y | No | 17 | 3 | 2 | 80 | 1 | 21 | 2 | 4 | 18 | 16 | 0 | 11 |
| 717 | 0 | 27 | Travel_Rarely | 1134 | Research & Development | 16 | 4 | Technical Degree | 1 | 1001 | 3 | Female | 37 | 3 | 1 | Laboratory Technician | 2 | Married | 2811 | 12086 | 9 | Y | No | 14 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
| 718 | 0 | 45 | Non-Travel | 248 | Research & Development | 23 | 2 | Life Sciences | 1 | 1002 | 4 | Male | 42 | 3 | 2 | Laboratory Technician | 1 | Married | 3633 | 14039 | 1 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 9 | 8 | 0 | 8 |
| 719 | 0 | 47 | Travel_Rarely | 955 | Sales | 4 | 2 | Life Sciences | 1 | 1003 | 4 | Female | 83 | 3 | 2 | Sales Executive | 4 | Single | 4163 | 8571 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 9 | 0 | 3 | 9 | 0 | 0 | 7 |
| 720 | 1 | 30 | Travel_Rarely | 138 | Research & Development | 22 | 3 | Life Sciences | 1 | 1004 | 1 | Female | 48 | 3 | 1 | Research Scientist | 3 | Married | 2132 | 11539 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 7 | 2 | 3 | 5 | 2 | 0 | 1 |
| 721 | 0 | 50 | Travel_Rarely | 939 | Research & Development | 24 | 3 | Life Sciences | 1 | 1005 | 4 | Male | 95 | 3 | 4 | Manufacturing Director | 3 | Married | 13973 | 4161 | 3 | Y | Yes | 18 | 3 | 4 | 80 | 1 | 22 | 2 | 3 | 12 | 11 | 1 | 5 |
| 722 | 0 | 38 | Travel_Frequently | 1391 | Research & Development | 10 | 1 | Medical | 1 | 1006 | 3 | Male | 66 | 3 | 1 | Research Scientist | 3 | Married | 2684 | 12127 | 0 | Y | No | 17 | 3 | 2 | 80 | 1 | 3 | 0 | 2 | 2 | 1 | 0 | 2 |
| 723 | 0 | 46 | Travel_Rarely | 566 | Research & Development | 7 | 2 | Medical | 1 | 1007 | 4 | Male | 75 | 3 | 3 | Manufacturing Director | 3 | Divorced | 10845 | 24208 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 13 | 3 | 3 | 8 | 7 | 0 | 7 |
| 724 | 0 | 24 | Travel_Rarely | 1206 | Research & Development | 17 | 1 | Medical | 1 | 1009 | 4 | Female | 41 | 2 | 2 | Manufacturing Director | 3 | Divorced | 4377 | 24117 | 1 | Y | No | 15 | 3 | 2 | 80 | 2 | 5 | 6 | 3 | 4 | 2 | 3 | 2 |
| 725 | 1 | 35 | Travel_Rarely | 622 | Research & Development | 14 | 4 | Other | 1 | 1010 | 3 | Male | 39 | 2 | 1 | Laboratory Technician | 2 | Divorced | 3743 | 10074 | 1 | Y | Yes | 24 | 4 | 4 | 80 | 1 | 5 | 2 | 1 | 4 | 2 | 0 | 2 |
| 726 | 0 | 31 | Travel_Frequently | 853 | Research & Development | 1 | 1 | Life Sciences | 1 | 1011 | 3 | Female | 96 | 3 | 2 | Manufacturing Director | 1 | Married | 4148 | 11275 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 4 | 1 | 3 | 4 | 3 | 0 | 3 |
| 727 | 0 | 18 | Non-Travel | 287 | Research & Development | 5 | 2 | Life Sciences | 1 | 1012 | 2 | Male | 73 | 3 | 1 | Research Scientist | 4 | Single | 1051 | 13493 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 |
| 728 | 0 | 54 | Travel_Rarely | 1441 | Research & Development | 17 | 3 | Technical Degree | 1 | 1013 | 3 | Female | 56 | 3 | 3 | Manufacturing Director | 3 | Married | 10739 | 13943 | 8 | Y | No | 11 | 3 | 3 | 80 | 1 | 22 | 2 | 3 | 10 | 7 | 0 | 8 |
| 729 | 0 | 35 | Travel_Rarely | 583 | Research & Development | 25 | 4 | Medical | 1 | 1014 | 3 | Female | 57 | 3 | 3 | Healthcare Representative | 3 | Divorced | 10388 | 6975 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 16 | 3 | 2 | 16 | 10 | 10 | 1 |
| 730 | 0 | 30 | Travel_Rarely | 153 | Research & Development | 8 | 2 | Life Sciences | 1 | 1015 | 2 | Female | 73 | 4 | 3 | Research Director | 1 | Married | 11416 | 17802 | 0 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 9 | 4 | 2 | 8 | 7 | 1 | 7 |
| 731 | 1 | 20 | Travel_Rarely | 1097 | Research & Development | 11 | 3 | Medical | 1 | 1016 | 4 | Female | 98 | 2 | 1 | Research Scientist | 1 | Single | 2600 | 18275 | 1 | Y | Yes | 15 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 732 | 1 | 30 | Travel_Frequently | 109 | Research & Development | 5 | 3 | Medical | 1 | 1017 | 2 | Female | 60 | 3 | 1 | Laboratory Technician | 2 | Single | 2422 | 25725 | 0 | Y | No | 17 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 1 | 2 |
| 733 | 0 | 26 | Travel_Rarely | 1066 | Research & Development | 2 | 2 | Medical | 1 | 1018 | 4 | Male | 32 | 4 | 2 | Manufacturing Director | 4 | Married | 5472 | 3334 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 8 | 2 | 3 | 8 | 7 | 1 | 3 |
| 734 | 0 | 22 | Travel_Rarely | 217 | Research & Development | 8 | 1 | Life Sciences | 1 | 1019 | 2 | Male | 94 | 1 | 1 | Laboratory Technician | 1 | Married | 2451 | 6881 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 4 | 3 | 2 | 4 | 3 | 1 | 1 |
| 735 | 0 | 48 | Travel_Rarely | 277 | Research & Development | 6 | 3 | Life Sciences | 1 | 1022 | 1 | Male | 97 | 2 | 2 | Healthcare Representative | 3 | Single | 4240 | 13119 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 19 | 0 | 3 | 2 | 2 | 2 | 2 |
| 736 | 0 | 48 | Travel_Rarely | 1355 | Research & Development | 4 | 4 | Life Sciences | 1 | 1024 | 3 | Male | 78 | 2 | 3 | Healthcare Representative | 3 | Single | 10999 | 22245 | 7 | Y | No | 14 | 3 | 2 | 80 | 0 | 27 | 3 | 3 | 15 | 11 | 4 | 8 |
| 737 | 0 | 41 | Travel_Rarely | 549 | Research & Development | 7 | 2 | Medical | 1 | 1025 | 4 | Female | 42 | 3 | 2 | Manufacturing Director | 3 | Single | 5003 | 23371 | 6 | Y | No | 14 | 3 | 2 | 80 | 0 | 8 | 6 | 3 | 2 | 2 | 2 | 1 |
| 738 | 0 | 39 | Travel_Rarely | 466 | Research & Development | 1 | 1 | Life Sciences | 1 | 1026 | 4 | Female | 65 | 2 | 4 | Manufacturing Director | 4 | Married | 12742 | 7060 | 1 | Y | No | 16 | 3 | 3 | 80 | 1 | 21 | 3 | 3 | 21 | 6 | 11 | 8 |
| 739 | 0 | 27 | Travel_Rarely | 1055 | Research & Development | 2 | 4 | Life Sciences | 1 | 1027 | 1 | Female | 47 | 3 | 2 | Manufacturing Director | 4 | Married | 4227 | 4658 | 0 | Y | No | 18 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 3 | 2 | 2 | 2 |
| 740 | 0 | 35 | Travel_Rarely | 802 | Research & Development | 10 | 3 | Other | 1 | 1028 | 2 | Male | 45 | 3 | 1 | Laboratory Technician | 4 | Divorced | 3917 | 9541 | 1 | Y | No | 20 | 4 | 1 | 80 | 1 | 3 | 4 | 2 | 3 | 2 | 1 | 2 |
| 741 | 0 | 42 | Travel_Rarely | 265 | Sales | 5 | 2 | Marketing | 1 | 1029 | 4 | Male | 90 | 3 | 5 | Manager | 3 | Married | 18303 | 7770 | 6 | Y | No | 13 | 3 | 2 | 80 | 0 | 21 | 3 | 4 | 1 | 0 | 0 | 0 |
| 742 | 0 | 50 | Travel_Rarely | 804 | Research & Development | 9 | 3 | Life Sciences | 1 | 1030 | 1 | Male | 64 | 3 | 1 | Laboratory Technician | 4 | Married | 2380 | 20165 | 4 | Y | No | 18 | 3 | 2 | 80 | 0 | 8 | 5 | 3 | 1 | 0 | 0 | 0 |
| 743 | 0 | 59 | Travel_Rarely | 715 | Research & Development | 2 | 3 | Life Sciences | 1 | 1032 | 3 | Female | 69 | 2 | 4 | Manufacturing Director | 4 | Single | 13726 | 21829 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 0 | 30 | 4 | 3 | 5 | 3 | 4 | 3 |
| 744 | 1 | 37 | Travel_Rarely | 1141 | Research & Development | 11 | 2 | Medical | 1 | 1033 | 1 | Female | 61 | 1 | 2 | Healthcare Representative | 2 | Married | 4777 | 14382 | 5 | Y | No | 15 | 3 | 1 | 80 | 0 | 15 | 2 | 1 | 1 | 0 | 0 | 0 |
| 745 | 0 | 55 | Travel_Frequently | 135 | Research & Development | 18 | 4 | Medical | 1 | 1034 | 3 | Male | 62 | 3 | 2 | Healthcare Representative | 2 | Married | 6385 | 12992 | 3 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 17 | 3 | 3 | 8 | 7 | 6 | 7 |
| 746 | 0 | 41 | Non-Travel | 247 | Research & Development | 7 | 1 | Life Sciences | 1 | 1035 | 2 | Female | 55 | 1 | 5 | Research Director | 3 | Divorced | 19973 | 20284 | 1 | Y | No | 22 | 4 | 2 | 80 | 2 | 21 | 3 | 3 | 21 | 16 | 5 | 10 |
| 747 | 0 | 38 | Travel_Rarely | 1035 | Sales | 3 | 4 | Life Sciences | 1 | 1036 | 2 | Male | 42 | 3 | 2 | Sales Executive | 4 | Single | 6861 | 4981 | 8 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 19 | 1 | 3 | 1 | 0 | 0 | 0 |
| 748 | 1 | 26 | Non-Travel | 265 | Sales | 29 | 2 | Medical | 1 | 1037 | 2 | Male | 79 | 1 | 2 | Sales Executive | 1 | Single | 4969 | 21813 | 8 | Y | No | 18 | 3 | 4 | 80 | 0 | 7 | 6 | 3 | 2 | 2 | 2 | 2 |
| 749 | 1 | 52 | Travel_Rarely | 266 | Sales | 2 | 1 | Marketing | 1 | 1038 | 1 | Female | 57 | 1 | 5 | Manager | 4 | Married | 19845 | 25846 | 1 | Y | No | 15 | 3 | 4 | 80 | 1 | 33 | 3 | 3 | 32 | 14 | 6 | 9 |
| 750 | 0 | 44 | Travel_Rarely | 1448 | Sales | 28 | 3 | Medical | 1 | 1039 | 4 | Female | 53 | 4 | 4 | Sales Executive | 4 | Married | 13320 | 11737 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 23 | 2 | 3 | 12 | 11 | 11 | 11 |
| 751 | 0 | 50 | Non-Travel | 145 | Sales | 1 | 3 | Life Sciences | 1 | 1040 | 4 | Female | 95 | 3 | 2 | Sales Executive | 3 | Married | 6347 | 24920 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 19 | 3 | 3 | 18 | 7 | 0 | 13 |
| 752 | 1 | 36 | Travel_Rarely | 885 | Research & Development | 16 | 4 | Life Sciences | 1 | 1042 | 3 | Female | 43 | 4 | 1 | Laboratory Technician | 1 | Single | 2743 | 8269 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 18 | 1 | 3 | 17 | 13 | 15 | 14 |
| 753 | 0 | 39 | Travel_Frequently | 945 | Research & Development | 22 | 3 | Medical | 1 | 1043 | 4 | Female | 82 | 3 | 3 | Manufacturing Director | 1 | Single | 10880 | 5083 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 21 | 2 | 3 | 21 | 6 | 2 | 8 |
| 754 | 0 | 33 | Non-Travel | 1038 | Sales | 8 | 1 | Life Sciences | 1 | 1044 | 2 | Female | 88 | 2 | 1 | Sales Representative | 4 | Single | 2342 | 21437 | 0 | Y | No | 19 | 3 | 4 | 80 | 0 | 3 | 2 | 2 | 2 | 2 | 2 | 2 |
| 755 | 0 | 45 | Travel_Rarely | 1234 | Sales | 11 | 2 | Life Sciences | 1 | 1045 | 4 | Female | 90 | 3 | 4 | Manager | 4 | Married | 17650 | 5404 | 3 | Y | No | 13 | 3 | 2 | 80 | 1 | 26 | 4 | 4 | 9 | 3 | 1 | 1 |
| 756 | 0 | 32 | Non-Travel | 1109 | Research & Development | 29 | 4 | Medical | 1 | 1046 | 4 | Female | 69 | 3 | 1 | Laboratory Technician | 3 | Single | 4025 | 11135 | 9 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 7 | 7 |
| 757 | 0 | 34 | Travel_Rarely | 216 | Sales | 1 | 4 | Marketing | 1 | 1047 | 2 | Male | 75 | 4 | 2 | Sales Executive | 4 | Divorced | 9725 | 12278 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 16 | 2 | 2 | 15 | 1 | 0 | 9 |
| 758 | 0 | 59 | Travel_Rarely | 1089 | Sales | 1 | 2 | Technical Degree | 1 | 1048 | 2 | Male | 66 | 3 | 3 | Manager | 4 | Married | 11904 | 11038 | 3 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 14 | 1 | 1 | 6 | 4 | 0 | 4 |
| 759 | 0 | 45 | Travel_Rarely | 788 | Human Resources | 24 | 4 | Medical | 1 | 1049 | 2 | Male | 36 | 3 | 1 | Human Resources | 2 | Single | 2177 | 8318 | 1 | Y | No | 16 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 6 | 3 | 0 | 4 |
| 760 | 0 | 53 | Travel_Frequently | 124 | Sales | 2 | 3 | Marketing | 1 | 1050 | 3 | Female | 38 | 2 | 3 | Sales Executive | 2 | Married | 7525 | 23537 | 2 | Y | No | 12 | 3 | 1 | 80 | 1 | 30 | 2 | 3 | 15 | 7 | 6 | 12 |
| 761 | 1 | 36 | Travel_Rarely | 660 | Research & Development | 15 | 3 | Other | 1 | 1052 | 1 | Male | 81 | 3 | 2 | Laboratory Technician | 3 | Divorced | 4834 | 7858 | 7 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 1 | 0 | 0 | 0 |
| 762 | 1 | 26 | Travel_Frequently | 342 | Research & Development | 2 | 3 | Life Sciences | 1 | 1053 | 1 | Male | 57 | 3 | 1 | Research Scientist | 1 | Married | 2042 | 15346 | 6 | Y | Yes | 14 | 3 | 2 | 80 | 1 | 6 | 2 | 3 | 3 | 2 | 1 | 2 |
| 763 | 0 | 34 | Travel_Rarely | 1333 | Sales | 10 | 4 | Life Sciences | 1 | 1055 | 3 | Female | 87 | 3 | 1 | Sales Representative | 3 | Married | 2220 | 18410 | 1 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 1 | 0 | 0 |
| 764 | 0 | 28 | Travel_Rarely | 1144 | Sales | 10 | 1 | Medical | 1 | 1056 | 4 | Male | 74 | 3 | 1 | Sales Representative | 2 | Married | 1052 | 23384 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 0 | 0 |
| 765 | 0 | 38 | Travel_Frequently | 1186 | Research & Development | 3 | 4 | Other | 1 | 1060 | 3 | Male | 44 | 3 | 1 | Research Scientist | 3 | Married | 2821 | 2997 | 3 | Y | No | 16 | 3 | 1 | 80 | 1 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
| 766 | 0 | 50 | Travel_Rarely | 1464 | Research & Development | 2 | 4 | Medical | 1 | 1061 | 2 | Male | 62 | 3 | 5 | Research Director | 3 | Married | 19237 | 12853 | 2 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 29 | 2 | 2 | 8 | 1 | 7 | 7 |
| 767 | 0 | 37 | Travel_Rarely | 124 | Research & Development | 3 | 3 | Other | 1 | 1062 | 4 | Female | 35 | 3 | 2 | Healthcare Representative | 2 | Single | 4107 | 13848 | 3 | Y | No | 15 | 3 | 1 | 80 | 0 | 8 | 3 | 2 | 4 | 3 | 0 | 1 |
| 768 | 0 | 40 | Travel_Rarely | 300 | Sales | 26 | 3 | Marketing | 1 | 1066 | 3 | Male | 74 | 3 | 2 | Sales Executive | 1 | Married | 8396 | 22217 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 8 | 3 | 2 | 7 | 7 | 7 | 5 |
| 769 | 0 | 26 | Travel_Frequently | 921 | Research & Development | 1 | 1 | Medical | 1 | 1068 | 1 | Female | 66 | 2 | 1 | Research Scientist | 3 | Divorced | 2007 | 25265 | 1 | Y | No | 13 | 3 | 3 | 80 | 2 | 5 | 5 | 3 | 5 | 3 | 1 | 3 |
| 770 | 0 | 46 | Travel_Rarely | 430 | Research & Development | 1 | 4 | Medical | 1 | 1069 | 4 | Male | 40 | 3 | 5 | Research Director | 4 | Divorced | 19627 | 21445 | 9 | Y | No | 17 | 3 | 4 | 80 | 2 | 23 | 0 | 3 | 2 | 2 | 2 | 2 |
| 771 | 0 | 54 | Travel_Rarely | 1082 | Sales | 2 | 4 | Life Sciences | 1 | 1070 | 3 | Female | 41 | 2 | 3 | Sales Executive | 3 | Married | 10686 | 8392 | 6 | Y | No | 11 | 3 | 2 | 80 | 1 | 13 | 4 | 3 | 9 | 4 | 7 | 0 |
| 772 | 0 | 56 | Travel_Frequently | 1240 | Research & Development | 9 | 3 | Medical | 1 | 1071 | 1 | Female | 63 | 3 | 1 | Research Scientist | 3 | Married | 2942 | 12154 | 2 | Y | No | 19 | 3 | 2 | 80 | 1 | 18 | 4 | 3 | 5 | 4 | 0 | 3 |
| 773 | 0 | 36 | Travel_Rarely | 796 | Research & Development | 12 | 5 | Medical | 1 | 1073 | 4 | Female | 51 | 2 | 3 | Manufacturing Director | 4 | Single | 8858 | 15669 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 15 | 2 | 2 | 14 | 8 | 7 | 8 |
| 774 | 0 | 55 | Non-Travel | 444 | Research & Development | 2 | 1 | Medical | 1 | 1074 | 3 | Male | 40 | 2 | 4 | Manager | 1 | Single | 16756 | 17323 | 7 | Y | No | 15 | 3 | 2 | 80 | 0 | 31 | 3 | 4 | 9 | 7 | 6 | 2 |
| 775 | 0 | 43 | Travel_Rarely | 415 | Sales | 25 | 3 | Medical | 1 | 1076 | 3 | Male | 79 | 2 | 3 | Sales Executive | 4 | Divorced | 10798 | 5268 | 5 | Y | No | 13 | 3 | 3 | 80 | 1 | 18 | 5 | 3 | 1 | 0 | 0 | 0 |
| 776 | 1 | 20 | Travel_Frequently | 769 | Sales | 9 | 3 | Marketing | 1 | 1077 | 4 | Female | 54 | 3 | 1 | Sales Representative | 4 | Single | 2323 | 17205 | 1 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 |
| 777 | 1 | 21 | Travel_Rarely | 1334 | Research & Development | 10 | 3 | Life Sciences | 1 | 1079 | 3 | Female | 36 | 2 | 1 | Laboratory Technician | 1 | Single | 1416 | 17258 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 1 | 6 | 2 | 1 | 0 | 1 | 0 |
| 778 | 0 | 46 | Travel_Rarely | 1003 | Research & Development | 8 | 4 | Life Sciences | 1 | 1080 | 4 | Female | 74 | 2 | 2 | Research Scientist | 1 | Divorced | 4615 | 21029 | 8 | Y | Yes | 23 | 4 | 1 | 80 | 3 | 19 | 2 | 3 | 16 | 13 | 1 | 7 |
| 779 | 1 | 51 | Travel_Rarely | 1323 | Research & Development | 4 | 4 | Life Sciences | 1 | 1081 | 1 | Male | 34 | 3 | 1 | Research Scientist | 3 | Married | 2461 | 10332 | 9 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 18 | 2 | 4 | 10 | 0 | 2 | 7 |
| 780 | 1 | 28 | Non-Travel | 1366 | Research & Development | 24 | 2 | Technical Degree | 1 | 1082 | 2 | Male | 72 | 2 | 3 | Healthcare Representative | 1 | Single | 8722 | 12355 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 10 | 2 | 2 | 10 | 7 | 1 | 9 |
| 781 | 0 | 26 | Travel_Rarely | 192 | Research & Development | 1 | 2 | Medical | 1 | 1083 | 1 | Male | 59 | 2 | 1 | Laboratory Technician | 1 | Married | 3955 | 11141 | 1 | Y | No | 16 | 3 | 1 | 80 | 2 | 6 | 2 | 3 | 5 | 3 | 1 | 3 |
| 782 | 0 | 30 | Travel_Rarely | 1176 | Research & Development | 20 | 3 | Other | 1 | 1084 | 3 | Male | 85 | 3 | 2 | Manufacturing Director | 1 | Married | 9957 | 9096 | 0 | Y | No | 15 | 3 | 3 | 80 | 1 | 7 | 1 | 2 | 6 | 2 | 0 | 2 |
| 783 | 0 | 41 | Travel_Rarely | 509 | Research & Development | 7 | 2 | Technical Degree | 1 | 1085 | 2 | Female | 43 | 4 | 1 | Research Scientist | 3 | Married | 3376 | 18863 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 10 | 6 | 0 | 8 |
| 784 | 0 | 38 | Travel_Rarely | 330 | Research & Development | 17 | 1 | Life Sciences | 1 | 1088 | 3 | Female | 65 | 2 | 3 | Healthcare Representative | 3 | Married | 8823 | 24608 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 20 | 4 | 2 | 19 | 9 | 1 | 9 |
| 785 | 0 | 40 | Travel_Rarely | 1492 | Research & Development | 20 | 4 | Technical Degree | 1 | 1092 | 1 | Male | 61 | 3 | 3 | Healthcare Representative | 4 | Married | 10322 | 26542 | 4 | Y | No | 20 | 4 | 4 | 80 | 1 | 14 | 6 | 3 | 11 | 10 | 11 | 1 |
| 786 | 0 | 27 | Non-Travel | 1277 | Research & Development | 8 | 5 | Life Sciences | 1 | 1094 | 1 | Male | 87 | 1 | 1 | Laboratory Technician | 3 | Married | 4621 | 5869 | 1 | Y | No | 19 | 3 | 4 | 80 | 3 | 3 | 4 | 3 | 3 | 2 | 1 | 2 |
| 787 | 0 | 55 | Travel_Frequently | 1091 | Research & Development | 2 | 1 | Life Sciences | 1 | 1096 | 4 | Male | 65 | 3 | 3 | Manufacturing Director | 2 | Married | 10976 | 15813 | 3 | Y | No | 18 | 3 | 2 | 80 | 1 | 23 | 4 | 3 | 3 | 2 | 1 | 2 |
| 788 | 0 | 28 | Travel_Rarely | 857 | Research & Development | 10 | 3 | Other | 1 | 1097 | 3 | Female | 59 | 3 | 2 | Research Scientist | 3 | Single | 3660 | 7909 | 3 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 4 | 4 | 8 | 7 | 1 | 7 |
| 789 | 1 | 44 | Travel_Rarely | 1376 | Human Resources | 1 | 2 | Medical | 1 | 1098 | 2 | Male | 91 | 2 | 3 | Human Resources | 1 | Married | 10482 | 2326 | 9 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 1 | 3 | 20 | 6 | 3 | 6 |
| 790 | 0 | 33 | Travel_Rarely | 654 | Research & Development | 5 | 3 | Life Sciences | 1 | 1099 | 4 | Male | 34 | 2 | 3 | Healthcare Representative | 4 | Divorced | 7119 | 21214 | 4 | Y | No | 15 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 3 | 2 | 1 | 2 |
| 791 | 1 | 35 | Travel_Rarely | 1204 | Sales | 4 | 3 | Technical Degree | 1 | 1100 | 4 | Male | 86 | 3 | 3 | Sales Executive | 1 | Single | 9582 | 10333 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 0 | 9 | 2 | 3 | 8 | 7 | 4 | 7 |
| 792 | 1 | 33 | Travel_Frequently | 827 | Research & Development | 29 | 4 | Medical | 1 | 1101 | 1 | Female | 54 | 2 | 2 | Research Scientist | 3 | Single | 4508 | 3129 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 14 | 4 | 3 | 13 | 7 | 3 | 8 |
| 793 | 0 | 28 | Travel_Rarely | 895 | Research & Development | 15 | 2 | Life Sciences | 1 | 1102 | 1 | Male | 50 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2207 | 22482 | 1 | Y | No | 16 | 3 | 4 | 80 | 1 | 4 | 5 | 2 | 4 | 2 | 2 | 2 |
| 794 | 0 | 34 | Travel_Frequently | 618 | Research & Development | 3 | 1 | Life Sciences | 1 | 1103 | 1 | Male | 45 | 3 | 2 | Healthcare Representative | 4 | Single | 7756 | 22266 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 7 | 1 | 2 | 6 | 2 | 0 | 4 |
| 795 | 0 | 37 | Travel_Rarely | 309 | Sales | 10 | 4 | Life Sciences | 1 | 1105 | 4 | Female | 88 | 2 | 2 | Sales Executive | 4 | Divorced | 6694 | 24223 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 8 | 5 | 3 | 1 | 0 | 0 | 0 |
| 796 | 1 | 25 | Travel_Rarely | 1219 | Research & Development | 4 | 1 | Technical Degree | 1 | 1106 | 4 | Male | 32 | 3 | 1 | Laboratory Technician | 4 | Married | 3691 | 4605 | 1 | Y | Yes | 15 | 3 | 2 | 80 | 1 | 7 | 3 | 4 | 7 | 7 | 5 | 6 |
| 797 | 1 | 26 | Travel_Rarely | 1330 | Research & Development | 21 | 3 | Medical | 1 | 1107 | 1 | Male | 37 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2377 | 19373 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 0 |
| 798 | 1 | 33 | Travel_Rarely | 1017 | Research & Development | 25 | 3 | Medical | 1 | 1108 | 1 | Male | 55 | 2 | 1 | Research Scientist | 2 | Single | 2313 | 2993 | 4 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 5 | 0 | 3 | 2 | 2 | 2 | 2 |
| 799 | 0 | 42 | Travel_Rarely | 469 | Research & Development | 2 | 2 | Medical | 1 | 1109 | 4 | Male | 35 | 3 | 4 | Manager | 1 | Married | 17665 | 14399 | 0 | Y | No | 17 | 3 | 4 | 80 | 1 | 23 | 3 | 3 | 22 | 6 | 13 | 7 |
| 800 | 1 | 28 | Travel_Frequently | 1009 | Research & Development | 1 | 3 | Medical | 1 | 1111 | 1 | Male | 45 | 2 | 1 | Laboratory Technician | 2 | Divorced | 2596 | 7160 | 1 | Y | No | 15 | 3 | 1 | 80 | 2 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 801 | 1 | 50 | Travel_Frequently | 959 | Sales | 1 | 4 | Other | 1 | 1113 | 4 | Male | 81 | 3 | 2 | Sales Executive | 3 | Single | 4728 | 17251 | 3 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 5 | 4 | 3 | 0 | 0 | 0 | 0 |
| 802 | 0 | 33 | Travel_Frequently | 970 | Sales | 7 | 3 | Life Sciences | 1 | 1114 | 4 | Female | 30 | 3 | 2 | Sales Executive | 2 | Married | 4302 | 13401 | 0 | Y | No | 17 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 3 | 2 | 0 | 2 |
| 803 | 0 | 34 | Non-Travel | 697 | Research & Development | 3 | 4 | Life Sciences | 1 | 1115 | 3 | Male | 40 | 2 | 1 | Research Scientist | 4 | Married | 2979 | 22478 | 3 | Y | No | 17 | 3 | 4 | 80 | 3 | 6 | 2 | 3 | 0 | 0 | 0 | 0 |
| 804 | 0 | 48 | Non-Travel | 1262 | Research & Development | 1 | 4 | Medical | 1 | 1116 | 1 | Male | 35 | 4 | 4 | Manager | 4 | Single | 16885 | 16154 | 2 | Y | No | 22 | 4 | 3 | 80 | 0 | 27 | 3 | 2 | 5 | 4 | 2 | 1 |
| 805 | 0 | 45 | Non-Travel | 1050 | Sales | 9 | 4 | Life Sciences | 1 | 1117 | 2 | Female | 65 | 2 | 2 | Sales Executive | 3 | Married | 5593 | 17970 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 15 | 2 | 3 | 15 | 10 | 4 | 12 |
| 806 | 0 | 52 | Travel_Rarely | 994 | Research & Development | 7 | 4 | Life Sciences | 1 | 1118 | 2 | Male | 87 | 3 | 3 | Healthcare Representative | 2 | Single | 10445 | 15322 | 7 | Y | No | 19 | 3 | 4 | 80 | 0 | 18 | 4 | 3 | 8 | 6 | 4 | 0 |
| 807 | 0 | 38 | Travel_Rarely | 770 | Sales | 10 | 4 | Marketing | 1 | 1119 | 3 | Male | 73 | 2 | 3 | Sales Executive | 3 | Divorced | 8740 | 5569 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 2 | 9 | 2 | 3 | 8 | 7 | 2 | 7 |
| 808 | 0 | 29 | Travel_Rarely | 1107 | Research & Development | 28 | 4 | Life Sciences | 1 | 1120 | 3 | Female | 93 | 3 | 1 | Research Scientist | 4 | Divorced | 2514 | 26968 | 4 | Y | No | 22 | 4 | 1 | 80 | 1 | 11 | 1 | 3 | 7 | 5 | 1 | 7 |
| 809 | 0 | 28 | Travel_Rarely | 950 | Research & Development | 3 | 3 | Medical | 1 | 1121 | 4 | Female | 93 | 3 | 3 | Manufacturing Director | 2 | Divorced | 7655 | 8039 | 0 | Y | No | 17 | 3 | 2 | 80 | 3 | 10 | 3 | 2 | 9 | 7 | 1 | 7 |
| 810 | 0 | 46 | Travel_Rarely | 406 | Sales | 3 | 1 | Marketing | 1 | 1124 | 1 | Male | 52 | 3 | 4 | Manager | 3 | Married | 17465 | 15596 | 3 | Y | No | 12 | 3 | 4 | 80 | 1 | 23 | 3 | 3 | 12 | 9 | 4 | 9 |
| 811 | 0 | 38 | Travel_Rarely | 130 | Sales | 2 | 2 | Marketing | 1 | 1125 | 4 | Male | 32 | 3 | 3 | Sales Executive | 2 | Single | 7351 | 20619 | 7 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 1 | 0 | 0 | 0 |
| 812 | 0 | 43 | Travel_Frequently | 1082 | Research & Development | 27 | 3 | Life Sciences | 1 | 1126 | 3 | Female | 83 | 3 | 3 | Manufacturing Director | 1 | Married | 10820 | 11535 | 8 | Y | No | 11 | 3 | 3 | 80 | 1 | 18 | 1 | 3 | 8 | 7 | 0 | 1 |
| 813 | 1 | 39 | Travel_Frequently | 203 | Research & Development | 2 | 3 | Life Sciences | 1 | 1127 | 1 | Male | 84 | 3 | 4 | Healthcare Representative | 4 | Divorced | 12169 | 13547 | 7 | Y | No | 11 | 3 | 4 | 80 | 3 | 21 | 4 | 3 | 18 | 7 | 11 | 5 |
| 814 | 0 | 40 | Travel_Rarely | 1308 | Research & Development | 14 | 3 | Medical | 1 | 1128 | 3 | Male | 44 | 2 | 5 | Research Director | 3 | Single | 19626 | 17544 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 21 | 2 | 4 | 20 | 7 | 4 | 9 |
| 815 | 0 | 21 | Travel_Rarely | 984 | Research & Development | 1 | 1 | Technical Degree | 1 | 1131 | 4 | Female | 70 | 2 | 1 | Research Scientist | 2 | Single | 2070 | 25326 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 2 | 6 | 4 | 2 | 2 | 2 | 2 |
| 816 | 0 | 39 | Non-Travel | 439 | Research & Development | 9 | 3 | Life Sciences | 1 | 1132 | 3 | Male | 70 | 3 | 2 | Laboratory Technician | 2 | Single | 6782 | 8770 | 9 | Y | No | 15 | 3 | 3 | 80 | 0 | 9 | 2 | 2 | 5 | 4 | 0 | 3 |
| 817 | 0 | 36 | Non-Travel | 217 | Research & Development | 18 | 4 | Life Sciences | 1 | 1133 | 1 | Male | 78 | 3 | 2 | Manufacturing Director | 4 | Single | 7779 | 23238 | 2 | Y | No | 20 | 4 | 1 | 80 | 0 | 18 | 0 | 3 | 11 | 9 | 0 | 9 |
| 818 | 0 | 31 | Travel_Frequently | 793 | Sales | 20 | 3 | Life Sciences | 1 | 1135 | 3 | Male | 67 | 4 | 1 | Sales Representative | 4 | Married | 2791 | 21981 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 3 | 4 | 3 | 2 | 2 | 2 | 2 |
| 819 | 0 | 28 | Travel_Rarely | 1451 | Research & Development | 2 | 1 | Life Sciences | 1 | 1136 | 1 | Male | 67 | 2 | 1 | Research Scientist | 2 | Married | 3201 | 19911 | 0 | Y | No | 17 | 3 | 1 | 80 | 0 | 6 | 2 | 1 | 5 | 3 | 0 | 4 |
| 820 | 0 | 35 | Travel_Frequently | 1182 | Sales | 11 | 2 | Marketing | 1 | 1137 | 4 | Male | 54 | 3 | 2 | Sales Executive | 4 | Divorced | 4968 | 18500 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 5 | 3 | 3 | 5 | 2 | 0 | 2 |
| 821 | 0 | 49 | Travel_Rarely | 174 | Sales | 8 | 4 | Technical Degree | 1 | 1138 | 4 | Male | 56 | 2 | 4 | Sales Executive | 2 | Married | 13120 | 11879 | 6 | Y | No | 17 | 3 | 2 | 80 | 1 | 22 | 3 | 3 | 9 | 8 | 2 | 3 |
| 822 | 0 | 34 | Travel_Frequently | 1003 | Research & Development | 2 | 2 | Life Sciences | 1 | 1140 | 4 | Male | 95 | 3 | 2 | Manufacturing Director | 3 | Single | 4033 | 15834 | 2 | Y | No | 11 | 3 | 4 | 80 | 0 | 5 | 3 | 2 | 3 | 2 | 0 | 2 |
| 823 | 0 | 29 | Travel_Frequently | 490 | Research & Development | 10 | 3 | Life Sciences | 1 | 1143 | 4 | Female | 61 | 3 | 1 | Research Scientist | 2 | Divorced | 3291 | 17940 | 0 | Y | No | 14 | 3 | 4 | 80 | 2 | 8 | 2 | 2 | 7 | 5 | 1 | 1 |
| 824 | 0 | 42 | Travel_Rarely | 188 | Research & Development | 29 | 3 | Medical | 1 | 1148 | 2 | Male | 56 | 1 | 2 | Laboratory Technician | 4 | Single | 4272 | 9558 | 4 | Y | No | 19 | 3 | 1 | 80 | 0 | 16 | 3 | 3 | 1 | 0 | 0 | 0 |
| 825 | 0 | 29 | Travel_Rarely | 718 | Research & Development | 8 | 1 | Medical | 1 | 1150 | 2 | Male | 79 | 2 | 2 | Manufacturing Director | 4 | Married | 5056 | 17689 | 1 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 10 | 2 | 2 | 10 | 7 | 1 | 2 |
| 826 | 0 | 38 | Travel_Rarely | 433 | Human Resources | 1 | 3 | Human Resources | 1 | 1152 | 3 | Male | 37 | 4 | 1 | Human Resources | 3 | Married | 2844 | 6004 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 7 | 2 | 4 | 7 | 6 | 5 | 0 |
| 827 | 0 | 28 | Travel_Frequently | 773 | Research & Development | 6 | 3 | Life Sciences | 1 | 1154 | 3 | Male | 39 | 2 | 1 | Research Scientist | 3 | Divorced | 2703 | 22088 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 3 | 1 | 0 | 2 |
| 828 | 1 | 18 | Non-Travel | 247 | Research & Development | 8 | 1 | Medical | 1 | 1156 | 3 | Male | 80 | 3 | 1 | Laboratory Technician | 3 | Single | 1904 | 13556 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 |
| 829 | 1 | 33 | Travel_Rarely | 603 | Sales | 9 | 4 | Marketing | 1 | 1157 | 1 | Female | 77 | 3 | 2 | Sales Executive | 1 | Single | 8224 | 18385 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 5 | 2 | 0 | 3 |
| 830 | 0 | 41 | Travel_Rarely | 167 | Research & Development | 12 | 4 | Life Sciences | 1 | 1158 | 2 | Male | 46 | 3 | 1 | Laboratory Technician | 4 | Married | 4766 | 9051 | 3 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 6 | 4 | 3 | 1 | 0 | 0 | 0 |
| 831 | 1 | 31 | Travel_Frequently | 874 | Research & Development | 15 | 3 | Medical | 1 | 1160 | 3 | Male | 72 | 3 | 1 | Laboratory Technician | 3 | Married | 2610 | 6233 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 2 | 5 | 2 | 2 | 2 | 2 | 2 |
| 832 | 0 | 37 | Travel_Rarely | 367 | Research & Development | 25 | 2 | Medical | 1 | 1161 | 3 | Female | 52 | 2 | 2 | Healthcare Representative | 4 | Divorced | 5731 | 17171 | 7 | Y | No | 13 | 3 | 3 | 80 | 2 | 9 | 2 | 3 | 6 | 2 | 1 | 3 |
| 833 | 0 | 27 | Travel_Rarely | 199 | Research & Development | 6 | 3 | Life Sciences | 1 | 1162 | 4 | Male | 55 | 2 | 1 | Research Scientist | 3 | Married | 2539 | 7950 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 4 | 0 | 3 | 4 | 2 | 2 | 2 |
| 834 | 0 | 34 | Travel_Rarely | 1400 | Sales | 9 | 1 | Life Sciences | 1 | 1163 | 2 | Female | 70 | 3 | 2 | Sales Executive | 3 | Married | 5714 | 5829 | 1 | Y | No | 20 | 4 | 1 | 80 | 0 | 6 | 3 | 2 | 6 | 5 | 1 | 3 |
| 835 | 0 | 35 | Travel_Rarely | 528 | Human Resources | 8 | 4 | Technical Degree | 1 | 1164 | 3 | Male | 100 | 3 | 1 | Human Resources | 3 | Single | 4323 | 7108 | 1 | Y | No | 17 | 3 | 2 | 80 | 0 | 6 | 2 | 1 | 5 | 4 | 1 | 4 |
| 836 | 1 | 29 | Travel_Rarely | 408 | Sales | 23 | 1 | Life Sciences | 1 | 1165 | 4 | Female | 45 | 2 | 3 | Sales Executive | 1 | Married | 7336 | 11162 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 11 | 3 | 1 | 11 | 8 | 3 | 10 |
| 837 | 0 | 40 | Travel_Frequently | 593 | Research & Development | 9 | 4 | Medical | 1 | 1166 | 2 | Female | 88 | 3 | 3 | Research Director | 3 | Single | 13499 | 13782 | 9 | Y | No | 17 | 3 | 3 | 80 | 0 | 20 | 3 | 2 | 18 | 7 | 2 | 13 |
| 838 | 1 | 42 | Travel_Frequently | 481 | Sales | 12 | 3 | Life Sciences | 1 | 1167 | 3 | Male | 44 | 3 | 4 | Sales Executive | 1 | Single | 13758 | 2447 | 0 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 22 | 2 | 2 | 21 | 9 | 13 | 14 |
| 839 | 0 | 42 | Travel_Rarely | 647 | Sales | 4 | 4 | Marketing | 1 | 1171 | 2 | Male | 45 | 3 | 2 | Sales Executive | 1 | Single | 5155 | 2253 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 9 | 3 | 4 | 6 | 4 | 1 | 5 |
| 840 | 0 | 35 | Travel_Rarely | 982 | Research & Development | 1 | 4 | Medical | 1 | 1172 | 4 | Male | 58 | 2 | 1 | Laboratory Technician | 3 | Married | 2258 | 16340 | 6 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 2 | 3 | 8 | 0 | 1 | 7 |
| 841 | 0 | 24 | Travel_Rarely | 477 | Research & Development | 24 | 3 | Medical | 1 | 1173 | 4 | Male | 49 | 3 | 1 | Laboratory Technician | 2 | Single | 3597 | 6409 | 8 | Y | No | 22 | 4 | 4 | 80 | 0 | 6 | 2 | 3 | 4 | 3 | 1 | 2 |
| 842 | 1 | 28 | Travel_Rarely | 1485 | Research & Development | 12 | 1 | Life Sciences | 1 | 1175 | 3 | Female | 79 | 3 | 1 | Laboratory Technician | 4 | Married | 2515 | 22955 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 1 | 4 | 2 | 1 | 1 | 0 | 0 |
| 843 | 0 | 26 | Travel_Rarely | 1384 | Research & Development | 3 | 4 | Medical | 1 | 1177 | 1 | Male | 82 | 4 | 1 | Laboratory Technician | 4 | Married | 4420 | 13421 | 1 | Y | No | 22 | 4 | 2 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 0 | 7 |
| 844 | 0 | 30 | Travel_Rarely | 852 | Sales | 10 | 3 | Marketing | 1 | 1179 | 3 | Male | 72 | 2 | 2 | Sales Executive | 3 | Married | 6578 | 2706 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 3 | 1 | 4 |
| 845 | 0 | 40 | Travel_Frequently | 902 | Research & Development | 26 | 2 | Medical | 1 | 1180 | 3 | Female | 92 | 2 | 2 | Research Scientist | 4 | Married | 4422 | 21203 | 3 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 16 | 3 | 1 | 1 | 1 | 0 | 0 |
| 846 | 0 | 35 | Travel_Rarely | 819 | Research & Development | 2 | 3 | Life Sciences | 1 | 1182 | 3 | Male | 44 | 2 | 3 | Manufacturing Director | 2 | Divorced | 10274 | 19588 | 2 | Y | No | 18 | 3 | 2 | 80 | 1 | 15 | 2 | 4 | 7 | 7 | 6 | 4 |
| 847 | 0 | 34 | Travel_Frequently | 669 | Research & Development | 1 | 3 | Medical | 1 | 1184 | 4 | Male | 97 | 2 | 2 | Healthcare Representative | 1 | Single | 5343 | 25755 | 0 | Y | No | 20 | 4 | 3 | 80 | 0 | 14 | 3 | 3 | 13 | 9 | 4 | 9 |
| 848 | 0 | 35 | Travel_Frequently | 636 | Research & Development | 4 | 4 | Other | 1 | 1185 | 4 | Male | 47 | 2 | 1 | Laboratory Technician | 4 | Married | 2376 | 26537 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 2 | 2 | 4 | 2 | 2 | 2 | 2 |
| 849 | 1 | 43 | Travel_Rarely | 1372 | Sales | 9 | 3 | Marketing | 1 | 1188 | 1 | Female | 85 | 1 | 2 | Sales Executive | 3 | Single | 5346 | 9489 | 8 | Y | No | 13 | 3 | 2 | 80 | 0 | 7 | 2 | 2 | 4 | 3 | 1 | 3 |
| 850 | 0 | 32 | Non-Travel | 862 | Sales | 2 | 1 | Life Sciences | 1 | 1190 | 3 | Female | 76 | 3 | 1 | Sales Representative | 1 | Divorced | 2827 | 14947 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 851 | 0 | 56 | Travel_Rarely | 718 | Research & Development | 4 | 4 | Technical Degree | 1 | 1191 | 4 | Female | 92 | 3 | 5 | Manager | 1 | Divorced | 19943 | 18575 | 4 | Y | No | 13 | 3 | 4 | 80 | 1 | 28 | 2 | 3 | 5 | 2 | 4 | 2 |
| 852 | 0 | 29 | Travel_Rarely | 1401 | Research & Development | 6 | 1 | Medical | 1 | 1192 | 2 | Female | 54 | 3 | 1 | Laboratory Technician | 4 | Married | 3131 | 26342 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 5 | 3 | 10 | 8 | 0 | 8 |
| 853 | 0 | 19 | Travel_Rarely | 645 | Research & Development | 9 | 2 | Life Sciences | 1 | 1193 | 3 | Male | 54 | 3 | 1 | Research Scientist | 1 | Single | 2552 | 7172 | 1 | Y | No | 25 | 4 | 3 | 80 | 0 | 1 | 4 | 3 | 1 | 1 | 0 | 0 |
| 854 | 0 | 45 | Travel_Rarely | 1457 | Research & Development | 7 | 3 | Medical | 1 | 1195 | 1 | Female | 83 | 3 | 1 | Research Scientist | 3 | Married | 4477 | 20100 | 4 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 7 | 2 | 2 | 3 | 2 | 0 | 2 |
| 855 | 0 | 37 | Travel_Rarely | 977 | Research & Development | 1 | 3 | Life Sciences | 1 | 1196 | 4 | Female | 56 | 2 | 2 | Manufacturing Director | 4 | Married | 6474 | 9961 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 14 | 2 | 2 | 14 | 8 | 3 | 11 |
| 856 | 0 | 20 | Travel_Rarely | 805 | Research & Development | 3 | 3 | Life Sciences | 1 | 1198 | 1 | Male | 87 | 2 | 1 | Laboratory Technician | 3 | Single | 3033 | 12828 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 2 | 2 | 2 | 2 | 2 | 1 | 2 |
| 857 | 1 | 44 | Travel_Rarely | 1097 | Research & Development | 10 | 4 | Life Sciences | 1 | 1200 | 3 | Male | 96 | 3 | 1 | Research Scientist | 3 | Single | 2936 | 10826 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 4 | 3 | 6 | 4 | 0 | 2 |
| 858 | 0 | 53 | Travel_Rarely | 1223 | Research & Development | 7 | 2 | Medical | 1 | 1201 | 4 | Female | 50 | 3 | 5 | Manager | 3 | Divorced | 18606 | 18640 | 3 | Y | No | 18 | 3 | 2 | 80 | 1 | 26 | 6 | 3 | 7 | 7 | 4 | 7 |
| 859 | 0 | 29 | Travel_Rarely | 942 | Research & Development | 15 | 1 | Life Sciences | 1 | 1202 | 2 | Female | 69 | 1 | 1 | Research Scientist | 4 | Married | 2168 | 26933 | 0 | Y | Yes | 18 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 5 | 4 | 1 | 3 |
| 860 | 1 | 22 | Travel_Frequently | 1256 | Research & Development | 3 | 4 | Life Sciences | 1 | 1203 | 3 | Male | 48 | 2 | 1 | Research Scientist | 4 | Married | 2853 | 4223 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 1 | 5 | 3 | 0 | 0 | 0 | 0 |
| 861 | 0 | 46 | Travel_Rarely | 1402 | Sales | 2 | 3 | Marketing | 1 | 1204 | 3 | Female | 69 | 3 | 4 | Manager | 1 | Married | 17048 | 24097 | 8 | Y | No | 23 | 4 | 1 | 80 | 0 | 28 | 2 | 3 | 26 | 15 | 15 | 9 |
| 862 | 0 | 44 | Non-Travel | 111 | Research & Development | 17 | 3 | Life Sciences | 1 | 1206 | 4 | Male | 74 | 1 | 1 | Research Scientist | 3 | Single | 2290 | 4279 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 |
| 863 | 0 | 33 | Travel_Rarely | 147 | Human Resources | 2 | 3 | Human Resources | 1 | 1207 | 2 | Male | 99 | 3 | 1 | Human Resources | 3 | Married | 3600 | 8429 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 3 | 5 | 4 | 1 | 4 |
| 864 | 1 | 41 | Non-Travel | 906 | Research & Development | 5 | 2 | Life Sciences | 1 | 1210 | 1 | Male | 95 | 2 | 1 | Research Scientist | 1 | Divorced | 2107 | 20293 | 6 | Y | No | 17 | 3 | 1 | 80 | 1 | 5 | 2 | 1 | 1 | 0 | 0 | 0 |
| 865 | 0 | 30 | Travel_Rarely | 1329 | Sales | 29 | 4 | Life Sciences | 1 | 1211 | 3 | Male | 61 | 3 | 2 | Sales Executive | 1 | Divorced | 4115 | 13192 | 8 | Y | No | 19 | 3 | 3 | 80 | 3 | 8 | 3 | 3 | 4 | 3 | 0 | 3 |
| 866 | 0 | 40 | Travel_Frequently | 1184 | Sales | 2 | 4 | Medical | 1 | 1212 | 2 | Male | 62 | 3 | 2 | Sales Executive | 2 | Married | 4327 | 25440 | 5 | Y | No | 12 | 3 | 4 | 80 | 3 | 5 | 2 | 3 | 0 | 0 | 0 | 0 |
| 867 | 0 | 50 | Travel_Frequently | 1421 | Research & Development | 2 | 3 | Medical | 1 | 1215 | 4 | Female | 30 | 3 | 4 | Manager | 1 | Married | 17856 | 9490 | 2 | Y | No | 22 | 4 | 3 | 80 | 1 | 32 | 3 | 3 | 2 | 2 | 2 | 2 |
| 868 | 0 | 28 | Travel_Rarely | 1179 | Research & Development | 19 | 4 | Medical | 1 | 1216 | 4 | Male | 78 | 2 | 1 | Laboratory Technician | 1 | Married | 3196 | 12449 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 6 | 2 | 3 | 6 | 5 | 3 | 3 |
| 869 | 0 | 46 | Travel_Rarely | 1450 | Research & Development | 15 | 2 | Life Sciences | 1 | 1217 | 4 | Male | 52 | 3 | 5 | Research Director | 2 | Married | 19081 | 10849 | 5 | Y | No | 11 | 3 | 1 | 80 | 1 | 25 | 2 | 3 | 4 | 2 | 0 | 3 |
| 870 | 0 | 35 | Travel_Rarely | 1361 | Sales | 17 | 4 | Life Sciences | 1 | 1218 | 3 | Male | 94 | 3 | 2 | Sales Executive | 1 | Married | 8966 | 21026 | 3 | Y | Yes | 15 | 3 | 4 | 80 | 3 | 15 | 2 | 3 | 7 | 7 | 1 | 7 |
| 871 | 1 | 24 | Travel_Rarely | 984 | Research & Development | 17 | 2 | Life Sciences | 1 | 1219 | 4 | Female | 97 | 3 | 1 | Laboratory Technician | 2 | Married | 2210 | 3372 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 1 | 3 | 1 | 1 | 0 | 0 | 0 |
| 872 | 0 | 33 | Travel_Frequently | 1146 | Sales | 25 | 3 | Medical | 1 | 1220 | 2 | Female | 82 | 3 | 2 | Sales Executive | 3 | Married | 4539 | 4905 | 1 | Y | No | 12 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 10 | 7 | 0 | 1 |
| 873 | 0 | 36 | Travel_Rarely | 917 | Research & Development | 6 | 4 | Life Sciences | 1 | 1221 | 3 | Male | 60 | 1 | 1 | Laboratory Technician | 3 | Divorced | 2741 | 6865 | 1 | Y | No | 14 | 3 | 3 | 80 | 1 | 7 | 4 | 3 | 7 | 7 | 1 | 7 |
| 874 | 0 | 30 | Travel_Rarely | 853 | Research & Development | 7 | 4 | Life Sciences | 1 | 1224 | 3 | Male | 49 | 3 | 2 | Laboratory Technician | 3 | Divorced | 3491 | 11309 | 1 | Y | No | 13 | 3 | 1 | 80 | 3 | 10 | 4 | 2 | 10 | 7 | 8 | 9 |
| 875 | 0 | 44 | Travel_Rarely | 200 | Research & Development | 29 | 4 | Other | 1 | 1225 | 4 | Male | 32 | 3 | 2 | Research Scientist | 4 | Single | 4541 | 7744 | 1 | Y | No | 25 | 4 | 2 | 80 | 0 | 20 | 3 | 3 | 20 | 11 | 13 | 17 |
| 876 | 0 | 20 | Travel_Rarely | 654 | Sales | 21 | 3 | Marketing | 1 | 1226 | 3 | Male | 43 | 4 | 1 | Sales Representative | 4 | Single | 2678 | 5050 | 1 | Y | No | 17 | 3 | 4 | 80 | 0 | 2 | 2 | 3 | 2 | 1 | 2 | 2 |
| 877 | 0 | 46 | Travel_Rarely | 150 | Research & Development | 2 | 4 | Technical Degree | 1 | 1228 | 4 | Male | 60 | 3 | 2 | Manufacturing Director | 4 | Divorced | 7379 | 17433 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 12 | 3 | 2 | 6 | 3 | 1 | 4 |
| 878 | 0 | 42 | Non-Travel | 179 | Human Resources | 2 | 5 | Medical | 1 | 1231 | 4 | Male | 79 | 4 | 2 | Human Resources | 1 | Married | 6272 | 12858 | 7 | Y | No | 16 | 3 | 1 | 80 | 1 | 10 | 3 | 4 | 4 | 3 | 0 | 3 |
| 879 | 0 | 60 | Travel_Rarely | 696 | Sales | 7 | 4 | Marketing | 1 | 1233 | 2 | Male | 52 | 4 | 2 | Sales Executive | 4 | Divorced | 5220 | 10893 | 0 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 12 | 3 | 3 | 11 | 7 | 1 | 9 |
| 880 | 0 | 32 | Travel_Frequently | 116 | Research & Development | 13 | 3 | Other | 1 | 1234 | 3 | Female | 77 | 2 | 1 | Laboratory Technician | 2 | Married | 2743 | 7331 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 2 | 2 | 3 | 2 | 2 | 2 | 2 |
| 881 | 0 | 32 | Travel_Frequently | 1316 | Research & Development | 2 | 2 | Life Sciences | 1 | 1235 | 4 | Female | 38 | 3 | 2 | Research Scientist | 3 | Single | 4998 | 2338 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 0 | 7 |
| 882 | 0 | 36 | Travel_Rarely | 363 | Research & Development | 1 | 3 | Technical Degree | 1 | 1237 | 3 | Female | 77 | 1 | 3 | Manufacturing Director | 1 | Divorced | 10252 | 4235 | 2 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 17 | 2 | 3 | 7 | 7 | 7 | 7 |
| 883 | 0 | 33 | Travel_Rarely | 117 | Research & Development | 9 | 3 | Medical | 1 | 1238 | 1 | Male | 60 | 3 | 1 | Research Scientist | 4 | Married | 2781 | 6311 | 0 | Y | No | 13 | 3 | 2 | 80 | 1 | 15 | 5 | 3 | 14 | 10 | 4 | 10 |
| 884 | 0 | 40 | Travel_Rarely | 107 | Sales | 10 | 3 | Technical Degree | 1 | 1239 | 2 | Female | 84 | 2 | 2 | Sales Executive | 2 | Divorced | 6852 | 11591 | 7 | Y | No | 12 | 3 | 2 | 80 | 1 | 7 | 2 | 4 | 5 | 1 | 1 | 3 |
| 885 | 0 | 25 | Travel_Rarely | 1356 | Sales | 10 | 4 | Life Sciences | 1 | 1240 | 3 | Male | 57 | 3 | 2 | Sales Executive | 4 | Single | 4950 | 20623 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 4 | 3 | 4 | 3 | 1 | 1 |
| 886 | 0 | 30 | Travel_Rarely | 1465 | Research & Development | 1 | 3 | Medical | 1 | 1241 | 4 | Male | 63 | 3 | 1 | Research Scientist | 2 | Married | 3579 | 9369 | 0 | Y | Yes | 21 | 4 | 1 | 80 | 1 | 12 | 2 | 3 | 11 | 9 | 5 | 7 |
| 887 | 0 | 42 | Travel_Frequently | 458 | Research & Development | 26 | 5 | Medical | 1 | 1242 | 1 | Female | 60 | 3 | 3 | Research Director | 1 | Married | 13191 | 23281 | 3 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 20 | 6 | 3 | 1 | 0 | 0 | 0 |
| 888 | 0 | 35 | Non-Travel | 1212 | Sales | 8 | 2 | Marketing | 1 | 1243 | 3 | Female | 78 | 2 | 3 | Sales Executive | 4 | Married | 10377 | 13755 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 16 | 6 | 2 | 13 | 2 | 4 | 12 |
| 889 | 0 | 27 | Travel_Rarely | 1103 | Research & Development | 14 | 3 | Life Sciences | 1 | 1244 | 1 | Male | 42 | 3 | 1 | Research Scientist | 1 | Married | 2235 | 14377 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 9 | 3 | 2 | 9 | 7 | 6 | 8 |
| 890 | 0 | 54 | Travel_Frequently | 966 | Research & Development | 1 | 4 | Life Sciences | 1 | 1245 | 4 | Female | 53 | 3 | 3 | Manufacturing Director | 3 | Divorced | 10502 | 9659 | 7 | Y | No | 17 | 3 | 1 | 80 | 1 | 33 | 2 | 1 | 5 | 4 | 1 | 4 |
| 891 | 0 | 44 | Travel_Rarely | 1117 | Research & Development | 2 | 1 | Life Sciences | 1 | 1246 | 1 | Female | 72 | 4 | 1 | Research Scientist | 4 | Married | 2011 | 19982 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 10 | 5 | 7 | 7 |
| 892 | 1 | 19 | Non-Travel | 504 | Research & Development | 10 | 3 | Medical | 1 | 1248 | 1 | Female | 96 | 2 | 1 | Research Scientist | 2 | Single | 1859 | 6148 | 1 | Y | Yes | 25 | 4 | 2 | 80 | 0 | 1 | 2 | 4 | 1 | 1 | 0 | 0 |
| 893 | 0 | 29 | Travel_Rarely | 1010 | Research & Development | 1 | 3 | Life Sciences | 1 | 1249 | 1 | Female | 97 | 3 | 1 | Research Scientist | 4 | Divorced | 3760 | 5598 | 1 | Y | No | 15 | 3 | 1 | 80 | 3 | 3 | 5 | 3 | 3 | 2 | 1 | 2 |
| 894 | 0 | 54 | Travel_Rarely | 685 | Research & Development | 3 | 3 | Life Sciences | 1 | 1250 | 4 | Male | 85 | 3 | 4 | Research Director | 4 | Married | 17779 | 23474 | 3 | Y | No | 14 | 3 | 1 | 80 | 0 | 36 | 2 | 3 | 10 | 9 | 0 | 9 |
| 895 | 0 | 31 | Travel_Rarely | 1332 | Research & Development | 11 | 2 | Medical | 1 | 1251 | 3 | Male | 80 | 3 | 2 | Healthcare Representative | 1 | Married | 6833 | 17089 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 6 | 2 | 2 | 6 | 5 | 0 | 1 |
| 896 | 0 | 31 | Travel_Rarely | 1062 | Research & Development | 24 | 3 | Medical | 1 | 1252 | 3 | Female | 96 | 2 | 2 | Healthcare Representative | 1 | Single | 6812 | 17198 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 10 | 9 | 1 | 8 |
| 897 | 0 | 59 | Travel_Rarely | 326 | Sales | 3 | 3 | Life Sciences | 1 | 1254 | 3 | Female | 48 | 2 | 2 | Sales Executive | 4 | Single | 5171 | 16490 | 5 | Y | No | 17 | 3 | 4 | 80 | 0 | 13 | 2 | 3 | 6 | 1 | 0 | 5 |
| 898 | 0 | 43 | Travel_Rarely | 920 | Research & Development | 3 | 3 | Life Sciences | 1 | 1255 | 3 | Male | 96 | 1 | 5 | Research Director | 4 | Married | 19740 | 18625 | 3 | Y | No | 14 | 3 | 2 | 80 | 1 | 25 | 2 | 3 | 8 | 7 | 0 | 7 |
| 899 | 0 | 49 | Travel_Rarely | 1098 | Research & Development | 4 | 2 | Medical | 1 | 1256 | 1 | Male | 85 | 2 | 5 | Manager | 3 | Married | 18711 | 12124 | 2 | Y | No | 13 | 3 | 3 | 80 | 1 | 23 | 2 | 4 | 1 | 0 | 0 | 0 |
| 900 | 0 | 36 | Travel_Frequently | 469 | Research & Development | 3 | 3 | Technical Degree | 1 | 1257 | 3 | Male | 46 | 3 | 1 | Research Scientist | 2 | Married | 3692 | 9256 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 12 | 2 | 2 | 11 | 10 | 0 | 7 |
| 901 | 0 | 48 | Travel_Rarely | 969 | Research & Development | 2 | 2 | Technical Degree | 1 | 1258 | 4 | Male | 76 | 4 | 1 | Laboratory Technician | 2 | Single | 2559 | 16620 | 5 | Y | No | 11 | 3 | 3 | 80 | 0 | 7 | 4 | 2 | 1 | 0 | 0 | 0 |
| 902 | 0 | 27 | Travel_Rarely | 1167 | Research & Development | 4 | 2 | Life Sciences | 1 | 1259 | 1 | Male | 76 | 3 | 1 | Research Scientist | 3 | Divorced | 2517 | 3208 | 1 | Y | No | 11 | 3 | 2 | 80 | 3 | 5 | 2 | 3 | 5 | 3 | 0 | 3 |
| 903 | 0 | 29 | Travel_Rarely | 1329 | Research & Development | 7 | 3 | Life Sciences | 1 | 1260 | 3 | Male | 82 | 3 | 2 | Healthcare Representative | 4 | Divorced | 6623 | 4204 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 6 | 2 | 3 | 6 | 0 | 1 | 0 |
| 904 | 0 | 48 | Travel_Rarely | 715 | Research & Development | 1 | 3 | Life Sciences | 1 | 1263 | 4 | Male | 76 | 2 | 5 | Research Director | 4 | Single | 18265 | 8733 | 6 | Y | No | 12 | 3 | 3 | 80 | 0 | 25 | 3 | 4 | 1 | 0 | 0 | 0 |
| 905 | 0 | 29 | Travel_Rarely | 694 | Research & Development | 1 | 3 | Life Sciences | 1 | 1264 | 4 | Female | 87 | 2 | 4 | Research Director | 4 | Divorced | 16124 | 3423 | 3 | Y | No | 14 | 3 | 2 | 80 | 2 | 9 | 2 | 2 | 7 | 7 | 1 | 7 |
| 906 | 0 | 34 | Travel_Rarely | 1320 | Research & Development | 20 | 3 | Technical Degree | 1 | 1265 | 3 | Female | 89 | 4 | 1 | Research Scientist | 3 | Married | 2585 | 21643 | 0 | Y | No | 17 | 3 | 4 | 80 | 0 | 2 | 5 | 2 | 1 | 0 | 0 | 0 |
| 907 | 0 | 44 | Travel_Rarely | 1099 | Sales | 5 | 3 | Marketing | 1 | 1267 | 2 | Male | 88 | 3 | 5 | Manager | 2 | Married | 18213 | 8751 | 7 | Y | No | 11 | 3 | 3 | 80 | 1 | 26 | 5 | 3 | 22 | 9 | 3 | 10 |
| 908 | 0 | 33 | Travel_Rarely | 536 | Sales | 10 | 5 | Marketing | 1 | 1268 | 4 | Male | 82 | 4 | 3 | Sales Executive | 3 | Divorced | 8380 | 21708 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 10 | 3 | 3 | 9 | 8 | 0 | 8 |
| 909 | 0 | 19 | Travel_Rarely | 265 | Research & Development | 25 | 3 | Life Sciences | 1 | 1269 | 2 | Female | 57 | 4 | 1 | Research Scientist | 4 | Single | 2994 | 21221 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 1 |
| 910 | 0 | 23 | Travel_Rarely | 373 | Research & Development | 1 | 2 | Life Sciences | 1 | 1270 | 4 | Male | 47 | 3 | 1 | Research Scientist | 3 | Married | 1223 | 16901 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 1 |
| 911 | 1 | 25 | Travel_Frequently | 599 | Sales | 24 | 1 | Life Sciences | 1 | 1273 | 3 | Male | 73 | 1 | 1 | Sales Representative | 4 | Single | 1118 | 8040 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 1 | 4 | 3 | 1 | 0 | 1 | 0 |
| 912 | 0 | 26 | Travel_Rarely | 583 | Research & Development | 4 | 2 | Life Sciences | 1 | 1275 | 3 | Male | 53 | 3 | 1 | Research Scientist | 4 | Single | 2875 | 9973 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 8 | 2 | 2 | 8 | 5 | 2 | 2 |
| 913 | 1 | 45 | Travel_Rarely | 1449 | Sales | 2 | 3 | Marketing | 1 | 1277 | 1 | Female | 94 | 1 | 5 | Manager | 2 | Single | 18824 | 2493 | 2 | Y | Yes | 16 | 3 | 1 | 80 | 0 | 26 | 2 | 3 | 24 | 10 | 1 | 11 |
| 914 | 0 | 55 | Non-Travel | 177 | Research & Development | 8 | 1 | Medical | 1 | 1278 | 4 | Male | 37 | 2 | 4 | Healthcare Representative | 2 | Divorced | 13577 | 25592 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 34 | 3 | 3 | 33 | 9 | 15 | 0 |
| 915 | 1 | 21 | Travel_Frequently | 251 | Research & Development | 10 | 2 | Life Sciences | 1 | 1279 | 1 | Female | 45 | 2 | 1 | Laboratory Technician | 3 | Single | 2625 | 25308 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 2 | 2 | 1 | 2 | 2 | 2 | 2 |
| 916 | 0 | 46 | Travel_Rarely | 168 | Sales | 4 | 2 | Marketing | 1 | 1280 | 4 | Female | 33 | 2 | 5 | Manager | 2 | Married | 18789 | 9946 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 26 | 2 | 3 | 11 | 4 | 0 | 8 |
| 917 | 0 | 34 | Travel_Rarely | 131 | Sales | 2 | 3 | Marketing | 1 | 1281 | 3 | Female | 86 | 3 | 2 | Sales Executive | 1 | Single | 4538 | 6039 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 0 | 2 |
| 918 | 0 | 51 | Travel_Frequently | 237 | Sales | 9 | 3 | Life Sciences | 1 | 1282 | 4 | Male | 83 | 3 | 5 | Manager | 2 | Divorced | 19847 | 19196 | 4 | Y | Yes | 24 | 4 | 1 | 80 | 1 | 31 | 5 | 2 | 29 | 10 | 11 | 10 |
| 919 | 0 | 59 | Travel_Rarely | 1429 | Research & Development | 18 | 4 | Medical | 1 | 1283 | 4 | Male | 67 | 3 | 3 | Manufacturing Director | 4 | Single | 10512 | 20002 | 6 | Y | No | 12 | 3 | 4 | 80 | 0 | 25 | 6 | 2 | 9 | 7 | 5 | 4 |
| 920 | 0 | 34 | Travel_Frequently | 135 | Research & Development | 19 | 3 | Medical | 1 | 1285 | 3 | Female | 46 | 3 | 2 | Laboratory Technician | 2 | Divorced | 4444 | 22534 | 4 | Y | No | 13 | 3 | 3 | 80 | 2 | 15 | 2 | 4 | 11 | 8 | 5 | 10 |
| 921 | 0 | 28 | Travel_Frequently | 791 | Research & Development | 1 | 4 | Medical | 1 | 1286 | 4 | Male | 44 | 3 | 1 | Laboratory Technician | 3 | Single | 2154 | 6842 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 5 | 2 | 2 | 4 | 2 | 0 | 2 |
| 922 | 0 | 44 | Travel_Rarely | 1199 | Research & Development | 4 | 2 | Life Sciences | 1 | 1288 | 3 | Male | 92 | 4 | 5 | Manager | 1 | Divorced | 19190 | 17477 | 1 | Y | No | 14 | 3 | 4 | 80 | 2 | 26 | 4 | 2 | 25 | 9 | 14 | 13 |
| 923 | 0 | 34 | Travel_Frequently | 648 | Human Resources | 11 | 3 | Life Sciences | 1 | 1289 | 3 | Male | 56 | 2 | 2 | Human Resources | 2 | Married | 4490 | 21833 | 4 | Y | No | 11 | 3 | 4 | 80 | 2 | 14 | 5 | 4 | 10 | 9 | 1 | 8 |
| 924 | 0 | 35 | Travel_Rarely | 735 | Research & Development | 6 | 1 | Life Sciences | 1 | 1291 | 3 | Male | 66 | 3 | 1 | Research Scientist | 3 | Married | 3506 | 6020 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 2 | 2 |
| 925 | 0 | 42 | Travel_Rarely | 603 | Research & Development | 7 | 4 | Medical | 1 | 1292 | 2 | Female | 78 | 4 | 2 | Research Scientist | 2 | Married | 2372 | 5628 | 6 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 1 | 0 | 0 | 0 |
| 926 | 0 | 43 | Travel_Rarely | 531 | Sales | 4 | 4 | Marketing | 1 | 1293 | 4 | Female | 56 | 2 | 3 | Sales Executive | 4 | Single | 10231 | 20364 | 3 | Y | No | 14 | 3 | 4 | 80 | 0 | 23 | 3 | 4 | 21 | 7 | 15 | 17 |
| 927 | 0 | 36 | Travel_Rarely | 429 | Research & Development | 2 | 4 | Life Sciences | 1 | 1294 | 3 | Female | 53 | 3 | 2 | Manufacturing Director | 2 | Single | 5410 | 2323 | 9 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 16 | 14 | 5 | 12 |
| 928 | 1 | 44 | Travel_Rarely | 621 | Research & Development | 15 | 3 | Medical | 1 | 1295 | 1 | Female | 73 | 3 | 3 | Healthcare Representative | 4 | Married | 7978 | 14075 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 0 | 5 |
| 929 | 0 | 28 | Travel_Frequently | 193 | Research & Development | 2 | 3 | Life Sciences | 1 | 1296 | 4 | Male | 52 | 2 | 1 | Laboratory Technician | 4 | Married | 3867 | 14222 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 2 | 2 | 3 | 2 | 2 | 2 | 2 |
| 930 | 0 | 51 | Travel_Frequently | 968 | Research & Development | 6 | 2 | Medical | 1 | 1297 | 2 | Female | 40 | 2 | 1 | Laboratory Technician | 3 | Single | 2838 | 4257 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 8 | 6 | 2 | 7 | 0 | 7 | 7 |
| 931 | 0 | 30 | Non-Travel | 879 | Research & Development | 9 | 2 | Medical | 1 | 1298 | 3 | Female | 72 | 3 | 2 | Manufacturing Director | 3 | Single | 4695 | 12858 | 7 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 8 | 4 | 1 | 7 |
| 932 | 1 | 29 | Travel_Rarely | 806 | Research & Development | 7 | 3 | Technical Degree | 1 | 1299 | 2 | Female | 39 | 3 | 1 | Laboratory Technician | 3 | Divorced | 3339 | 17285 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 2 | 10 | 2 | 3 | 7 | 7 | 7 | 7 |
| 933 | 0 | 28 | Travel_Rarely | 640 | Research & Development | 1 | 3 | Technical Degree | 1 | 1301 | 4 | Male | 84 | 3 | 1 | Research Scientist | 1 | Single | 2080 | 4732 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 5 | 2 | 2 | 3 | 2 | 1 | 2 |
| 934 | 0 | 25 | Travel_Rarely | 266 | Research & Development | 1 | 3 | Medical | 1 | 1303 | 4 | Female | 40 | 3 | 1 | Research Scientist | 2 | Single | 2096 | 18830 | 1 | Y | No | 18 | 3 | 4 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 2 | 1 |
| 935 | 0 | 32 | Travel_Rarely | 604 | Sales | 8 | 3 | Medical | 1 | 1304 | 3 | Male | 56 | 4 | 2 | Sales Executive | 4 | Married | 6209 | 11693 | 1 | Y | No | 15 | 3 | 3 | 80 | 2 | 10 | 4 | 4 | 10 | 7 | 0 | 8 |
| 936 | 0 | 45 | Travel_Frequently | 364 | Research & Development | 25 | 3 | Medical | 1 | 1306 | 2 | Female | 83 | 3 | 5 | Manager | 2 | Single | 18061 | 13035 | 3 | Y | No | 22 | 4 | 3 | 80 | 0 | 22 | 4 | 3 | 0 | 0 | 0 | 0 |
| 937 | 0 | 39 | Travel_Rarely | 412 | Research & Development | 13 | 4 | Medical | 1 | 1307 | 3 | Female | 94 | 2 | 4 | Manager | 2 | Divorced | 17123 | 17334 | 6 | Y | Yes | 13 | 3 | 4 | 80 | 2 | 21 | 4 | 3 | 19 | 9 | 15 | 2 |
| 938 | 0 | 58 | Travel_Rarely | 848 | Research & Development | 23 | 4 | Life Sciences | 1 | 1308 | 1 | Male | 88 | 3 | 1 | Research Scientist | 3 | Divorced | 2372 | 26076 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
| 939 | 1 | 32 | Travel_Rarely | 1089 | Research & Development | 7 | 2 | Life Sciences | 1 | 1309 | 4 | Male | 79 | 3 | 2 | Laboratory Technician | 3 | Married | 4883 | 22845 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 4 | 1 | 1 |
| 940 | 1 | 39 | Travel_Rarely | 360 | Research & Development | 23 | 3 | Medical | 1 | 1310 | 3 | Male | 93 | 3 | 1 | Research Scientist | 1 | Single | 3904 | 22154 | 0 | Y | No | 13 | 3 | 1 | 80 | 0 | 6 | 2 | 3 | 5 | 2 | 0 | 3 |
| 941 | 0 | 30 | Travel_Rarely | 1138 | Research & Development | 6 | 3 | Technical Degree | 1 | 1311 | 1 | Female | 48 | 2 | 2 | Laboratory Technician | 4 | Married | 4627 | 23631 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 10 | 6 | 3 | 9 | 2 | 6 | 7 |
| 942 | 0 | 36 | Travel_Rarely | 325 | Research & Development | 10 | 4 | Technical Degree | 1 | 1312 | 4 | Female | 63 | 3 | 3 | Healthcare Representative | 3 | Married | 7094 | 5747 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 10 | 0 | 3 | 7 | 7 | 1 | 7 |
| 943 | 0 | 46 | Travel_Rarely | 991 | Human Resources | 1 | 2 | Life Sciences | 1 | 1314 | 4 | Female | 44 | 3 | 1 | Human Resources | 1 | Single | 3423 | 22957 | 6 | Y | No | 12 | 3 | 3 | 80 | 0 | 10 | 3 | 4 | 7 | 6 | 5 | 7 |
| 944 | 0 | 28 | Non-Travel | 1476 | Research & Development | 1 | 3 | Life Sciences | 1 | 1315 | 3 | Female | 55 | 1 | 2 | Laboratory Technician | 4 | Married | 6674 | 16392 | 0 | Y | No | 11 | 3 | 1 | 80 | 3 | 10 | 6 | 3 | 9 | 8 | 7 | 5 |
| 945 | 0 | 50 | Travel_Rarely | 1322 | Research & Development | 28 | 3 | Life Sciences | 1 | 1317 | 4 | Female | 43 | 3 | 4 | Research Director | 1 | Married | 16880 | 22422 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 25 | 2 | 3 | 3 | 2 | 1 | 2 |
| 946 | 1 | 40 | Travel_Rarely | 299 | Sales | 25 | 4 | Marketing | 1 | 1318 | 4 | Male | 57 | 2 | 3 | Sales Executive | 2 | Single | 9094 | 17235 | 2 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 5 | 4 | 1 | 0 |
| 947 | 1 | 52 | Travel_Rarely | 1030 | Sales | 5 | 3 | Life Sciences | 1 | 1319 | 2 | Male | 64 | 3 | 3 | Sales Executive | 2 | Single | 8446 | 21534 | 9 | Y | Yes | 19 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 8 | 7 | 7 | 7 |
| 948 | 0 | 30 | Travel_Rarely | 634 | Research & Development | 17 | 4 | Medical | 1 | 1321 | 2 | Female | 95 | 3 | 3 | Manager | 1 | Married | 11916 | 25927 | 1 | Y | Yes | 23 | 4 | 4 | 80 | 2 | 9 | 2 | 3 | 9 | 1 | 0 | 8 |
| 949 | 0 | 39 | Travel_Rarely | 524 | Research & Development | 18 | 2 | Life Sciences | 1 | 1322 | 1 | Male | 32 | 3 | 2 | Manufacturing Director | 3 | Single | 4534 | 13352 | 0 | Y | No | 11 | 3 | 1 | 80 | 0 | 9 | 6 | 3 | 8 | 7 | 1 | 7 |
| 950 | 0 | 31 | Non-Travel | 587 | Sales | 2 | 4 | Life Sciences | 1 | 1324 | 4 | Female | 57 | 3 | 3 | Sales Executive | 3 | Divorced | 9852 | 8935 | 1 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 10 | 5 | 2 | 10 | 8 | 9 | 6 |
| 951 | 0 | 41 | Non-Travel | 256 | Sales | 10 | 2 | Medical | 1 | 1329 | 3 | Male | 40 | 1 | 2 | Sales Executive | 2 | Single | 6151 | 22074 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 19 | 4 | 3 | 19 | 2 | 11 | 9 |
| 952 | 1 | 31 | Travel_Frequently | 1060 | Sales | 1 | 3 | Life Sciences | 1 | 1331 | 4 | Female | 54 | 3 | 1 | Sales Representative | 2 | Single | 2302 | 8319 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 3 | 2 | 4 | 3 | 2 | 2 | 2 |
| 953 | 1 | 44 | Travel_Rarely | 935 | Research & Development | 3 | 3 | Life Sciences | 1 | 1333 | 1 | Male | 89 | 3 | 1 | Laboratory Technician | 1 | Married | 2362 | 14669 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 10 | 4 | 4 | 3 | 2 | 1 | 2 |
| 954 | 0 | 42 | Non-Travel | 495 | Research & Development | 2 | 1 | Life Sciences | 1 | 1334 | 3 | Male | 37 | 3 | 4 | Manager | 3 | Married | 17861 | 26582 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 21 | 3 | 2 | 20 | 8 | 2 | 10 |
| 955 | 0 | 55 | Travel_Rarely | 282 | Research & Development | 2 | 2 | Medical | 1 | 1336 | 4 | Female | 58 | 1 | 5 | Manager | 3 | Married | 19187 | 6992 | 4 | Y | No | 14 | 3 | 4 | 80 | 1 | 23 | 5 | 3 | 19 | 9 | 9 | 11 |
| 956 | 0 | 56 | Travel_Rarely | 206 | Human Resources | 8 | 4 | Life Sciences | 1 | 1338 | 4 | Male | 99 | 3 | 5 | Manager | 2 | Single | 19717 | 4022 | 6 | Y | No | 14 | 3 | 1 | 80 | 0 | 36 | 4 | 3 | 7 | 3 | 7 | 7 |
| 957 | 0 | 40 | Non-Travel | 458 | Research & Development | 16 | 2 | Life Sciences | 1 | 1340 | 3 | Male | 74 | 3 | 1 | Research Scientist | 3 | Divorced | 3544 | 8532 | 9 | Y | No | 16 | 3 | 2 | 80 | 1 | 6 | 0 | 3 | 4 | 2 | 0 | 0 |
| 958 | 0 | 34 | Travel_Rarely | 943 | Research & Development | 9 | 3 | Life Sciences | 1 | 1344 | 4 | Male | 86 | 3 | 3 | Healthcare Representative | 4 | Divorced | 8500 | 5494 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 0 | 2 | 9 | 7 | 1 | 6 |
| 959 | 0 | 40 | Travel_Rarely | 523 | Research & Development | 2 | 3 | Life Sciences | 1 | 1346 | 3 | Male | 98 | 3 | 2 | Research Scientist | 4 | Single | 4661 | 22455 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 9 | 4 | 3 | 9 | 8 | 8 | 8 |
| 960 | 0 | 41 | Travel_Frequently | 1018 | Sales | 1 | 3 | Marketing | 1 | 1349 | 3 | Female | 66 | 3 | 2 | Sales Executive | 1 | Divorced | 4103 | 4297 | 0 | Y | No | 17 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 9 | 3 | 1 | 7 |
| 961 | 0 | 35 | Travel_Frequently | 482 | Research & Development | 4 | 4 | Life Sciences | 1 | 1350 | 3 | Male | 87 | 3 | 2 | Research Scientist | 3 | Single | 4249 | 2690 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 9 | 3 | 3 | 9 | 6 | 1 | 1 |
| 962 | 0 | 51 | Travel_Rarely | 770 | Human Resources | 5 | 3 | Life Sciences | 1 | 1352 | 3 | Male | 84 | 3 | 4 | Manager | 2 | Divorced | 14026 | 17588 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 33 | 2 | 3 | 33 | 9 | 0 | 10 |
| 963 | 0 | 38 | Travel_Rarely | 1009 | Sales | 2 | 2 | Life Sciences | 1 | 1355 | 2 | Female | 31 | 3 | 2 | Sales Executive | 1 | Divorced | 6893 | 19461 | 3 | Y | No | 15 | 3 | 4 | 80 | 1 | 11 | 3 | 3 | 7 | 7 | 1 | 7 |
| 964 | 0 | 34 | Travel_Rarely | 507 | Sales | 15 | 2 | Medical | 1 | 1356 | 3 | Female | 66 | 3 | 2 | Sales Executive | 1 | Single | 6125 | 23553 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 10 | 6 | 4 | 10 | 8 | 9 | 6 |
| 965 | 0 | 25 | Travel_Rarely | 882 | Research & Development | 19 | 1 | Medical | 1 | 1358 | 4 | Male | 67 | 3 | 1 | Laboratory Technician | 4 | Married | 3669 | 9075 | 3 | Y | No | 11 | 3 | 3 | 80 | 3 | 7 | 6 | 2 | 3 | 2 | 1 | 2 |
| 966 | 1 | 58 | Travel_Rarely | 601 | Research & Development | 7 | 4 | Medical | 1 | 1360 | 3 | Female | 53 | 2 | 3 | Manufacturing Director | 1 | Married | 10008 | 12023 | 7 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 31 | 0 | 2 | 10 | 9 | 5 | 9 |
| 967 | 0 | 40 | Travel_Rarely | 329 | Research & Development | 1 | 4 | Life Sciences | 1 | 1361 | 2 | Male | 88 | 3 | 1 | Laboratory Technician | 2 | Married | 2387 | 6762 | 3 | Y | No | 22 | 4 | 3 | 80 | 1 | 7 | 3 | 3 | 4 | 2 | 0 | 3 |
| 968 | 0 | 36 | Travel_Frequently | 607 | Sales | 7 | 3 | Marketing | 1 | 1362 | 1 | Female | 83 | 4 | 2 | Sales Executive | 1 | Married | 4639 | 2261 | 2 | Y | No | 16 | 3 | 4 | 80 | 1 | 17 | 2 | 2 | 15 | 7 | 6 | 13 |
| 969 | 0 | 48 | Travel_Rarely | 855 | Research & Development | 4 | 3 | Life Sciences | 1 | 1363 | 4 | Male | 54 | 3 | 3 | Manufacturing Director | 4 | Single | 7898 | 18706 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 11 | 2 | 3 | 10 | 9 | 0 | 8 |
| 970 | 0 | 27 | Travel_Rarely | 1291 | Sales | 11 | 3 | Medical | 1 | 1364 | 3 | Female | 98 | 4 | 1 | Sales Representative | 4 | Married | 2534 | 6527 | 8 | Y | No | 14 | 3 | 2 | 80 | 1 | 5 | 4 | 3 | 1 | 0 | 0 | 0 |
| 971 | 0 | 51 | Travel_Rarely | 1405 | Research & Development | 11 | 2 | Technical Degree | 1 | 1367 | 4 | Female | 82 | 2 | 4 | Manufacturing Director | 2 | Single | 13142 | 24439 | 3 | Y | No | 16 | 3 | 2 | 80 | 0 | 29 | 1 | 2 | 5 | 2 | 0 | 3 |
| 972 | 0 | 18 | Non-Travel | 1124 | Research & Development | 1 | 3 | Life Sciences | 1 | 1368 | 4 | Female | 97 | 3 | 1 | Laboratory Technician | 4 | Single | 1611 | 19305 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 0 | 5 | 4 | 0 | 0 | 0 | 0 |
| 973 | 0 | 35 | Travel_Rarely | 817 | Research & Development | 1 | 3 | Medical | 1 | 1369 | 4 | Female | 60 | 2 | 2 | Laboratory Technician | 4 | Married | 5363 | 10846 | 0 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 0 | 3 | 9 | 7 | 0 | 0 |
| 974 | 0 | 27 | Travel_Frequently | 793 | Sales | 2 | 1 | Life Sciences | 1 | 1371 | 4 | Male | 43 | 1 | 2 | Sales Executive | 4 | Single | 5071 | 20392 | 3 | Y | No | 20 | 4 | 2 | 80 | 0 | 8 | 3 | 3 | 6 | 2 | 0 | 0 |
| 975 | 1 | 55 | Travel_Rarely | 267 | Sales | 13 | 4 | Marketing | 1 | 1372 | 1 | Male | 85 | 4 | 4 | Sales Executive | 3 | Single | 13695 | 9277 | 6 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 24 | 2 | 2 | 19 | 7 | 3 | 8 |
| 976 | 0 | 56 | Travel_Rarely | 1369 | Research & Development | 23 | 3 | Life Sciences | 1 | 1373 | 4 | Male | 68 | 3 | 4 | Manufacturing Director | 2 | Married | 13402 | 18235 | 4 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 33 | 0 | 3 | 19 | 16 | 15 | 9 |
| 977 | 0 | 34 | Non-Travel | 999 | Research & Development | 26 | 1 | Technical Degree | 1 | 1374 | 1 | Female | 92 | 2 | 1 | Research Scientist | 3 | Divorced | 2029 | 15891 | 1 | Y | No | 20 | 4 | 3 | 80 | 3 | 5 | 2 | 3 | 5 | 4 | 0 | 0 |
| 978 | 0 | 40 | Travel_Rarely | 1202 | Research & Development | 2 | 1 | Medical | 1 | 1375 | 2 | Female | 89 | 4 | 2 | Healthcare Representative | 3 | Divorced | 6377 | 13888 | 5 | Y | No | 20 | 4 | 2 | 80 | 3 | 15 | 0 | 3 | 12 | 11 | 11 | 8 |
| 979 | 0 | 34 | Travel_Rarely | 285 | Research & Development | 29 | 3 | Medical | 1 | 1377 | 2 | Male | 86 | 3 | 2 | Laboratory Technician | 3 | Married | 5429 | 17491 | 4 | Y | No | 13 | 3 | 1 | 80 | 2 | 10 | 1 | 3 | 8 | 7 | 7 | 7 |
| 980 | 1 | 31 | Travel_Frequently | 703 | Sales | 2 | 3 | Life Sciences | 1 | 1379 | 3 | Female | 90 | 2 | 1 | Sales Representative | 4 | Single | 2785 | 11882 | 7 | Y | No | 14 | 3 | 3 | 80 | 0 | 3 | 3 | 4 | 1 | 0 | 0 | 0 |
| 981 | 1 | 35 | Travel_Frequently | 662 | Sales | 18 | 4 | Marketing | 1 | 1380 | 4 | Female | 67 | 3 | 2 | Sales Executive | 3 | Married | 4614 | 23288 | 0 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 5 | 0 | 2 | 4 | 2 | 3 | 2 |
| 982 | 0 | 38 | Travel_Frequently | 693 | Research & Development | 7 | 3 | Life Sciences | 1 | 1382 | 4 | Male | 57 | 4 | 1 | Research Scientist | 3 | Divorced | 2610 | 15748 | 1 | Y | No | 11 | 3 | 4 | 80 | 3 | 4 | 2 | 3 | 4 | 2 | 0 | 3 |
| 983 | 0 | 34 | Travel_Rarely | 404 | Research & Development | 2 | 4 | Technical Degree | 1 | 1383 | 3 | Female | 98 | 3 | 2 | Healthcare Representative | 4 | Single | 6687 | 6163 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 14 | 2 | 4 | 14 | 11 | 4 | 11 |
| 984 | 0 | 28 | Travel_Rarely | 736 | Sales | 26 | 3 | Life Sciences | 1 | 1387 | 3 | Male | 48 | 2 | 2 | Sales Executive | 1 | Married | 4724 | 24232 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 0 | 3 | 5 | 3 | 0 | 4 |
| 985 | 1 | 31 | Travel_Rarely | 330 | Research & Development | 22 | 4 | Medical | 1 | 1389 | 4 | Male | 98 | 3 | 2 | Manufacturing Director | 3 | Married | 6179 | 21057 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 2 | 10 | 3 | 2 | 10 | 2 | 6 | 7 |
| 986 | 0 | 39 | Travel_Rarely | 1498 | Sales | 21 | 4 | Life Sciences | 1 | 1390 | 1 | Male | 44 | 2 | 2 | Sales Executive | 4 | Married | 6120 | 3567 | 3 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 8 | 2 | 4 | 5 | 4 | 1 | 4 |
| 987 | 0 | 51 | Travel_Frequently | 541 | Sales | 2 | 3 | Marketing | 1 | 1391 | 2 | Male | 52 | 3 | 3 | Sales Executive | 2 | Married | 10596 | 15395 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 14 | 5 | 3 | 4 | 2 | 3 | 2 |
| 988 | 0 | 41 | Travel_Frequently | 1200 | Research & Development | 22 | 3 | Life Sciences | 1 | 1392 | 4 | Female | 75 | 3 | 2 | Research Scientist | 4 | Divorced | 5467 | 13953 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 2 | 12 | 4 | 2 | 6 | 2 | 3 | 3 |
| 989 | 0 | 37 | Travel_Rarely | 1439 | Research & Development | 4 | 1 | Life Sciences | 1 | 1394 | 3 | Male | 54 | 3 | 1 | Research Scientist | 3 | Married | 2996 | 5182 | 7 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 6 | 4 | 1 | 3 |
| 990 | 0 | 33 | Travel_Frequently | 1111 | Sales | 5 | 1 | Life Sciences | 1 | 1395 | 2 | Male | 61 | 3 | 2 | Sales Executive | 4 | Married | 9998 | 19293 | 6 | Y | No | 13 | 3 | 1 | 80 | 0 | 8 | 2 | 4 | 5 | 4 | 1 | 2 |
| 991 | 0 | 32 | Travel_Rarely | 499 | Sales | 2 | 1 | Marketing | 1 | 1396 | 3 | Male | 36 | 3 | 2 | Sales Executive | 2 | Married | 4078 | 20497 | 0 | Y | Yes | 13 | 3 | 1 | 80 | 3 | 4 | 3 | 2 | 3 | 2 | 1 | 2 |
| 992 | 0 | 39 | Non-Travel | 1485 | Research & Development | 25 | 2 | Life Sciences | 1 | 1397 | 3 | Male | 71 | 3 | 3 | Healthcare Representative | 3 | Married | 10920 | 3449 | 3 | Y | No | 21 | 4 | 2 | 80 | 1 | 13 | 2 | 3 | 6 | 4 | 0 | 5 |
| 993 | 0 | 25 | Travel_Rarely | 1372 | Sales | 18 | 1 | Life Sciences | 1 | 1399 | 1 | Male | 93 | 4 | 2 | Sales Executive | 3 | Married | 6232 | 12477 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 3 | 2 | 3 | 2 | 1 | 2 |
| 994 | 0 | 52 | Travel_Frequently | 322 | Research & Development | 28 | 2 | Medical | 1 | 1401 | 4 | Female | 59 | 4 | 4 | Manufacturing Director | 3 | Married | 13247 | 9731 | 2 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 24 | 3 | 2 | 5 | 3 | 0 | 2 |
| 995 | 0 | 43 | Travel_Rarely | 930 | Research & Development | 6 | 3 | Medical | 1 | 1402 | 1 | Female | 73 | 2 | 2 | Research Scientist | 3 | Single | 4081 | 20003 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 20 | 3 | 1 | 20 | 7 | 1 | 8 |
| 996 | 0 | 27 | Travel_Rarely | 205 | Sales | 10 | 3 | Marketing | 1 | 1403 | 4 | Female | 98 | 2 | 2 | Sales Executive | 4 | Married | 5769 | 7100 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 6 | 2 | 4 | 4 |
| 997 | 1 | 27 | Travel_Rarely | 135 | Research & Development | 17 | 4 | Life Sciences | 1 | 1405 | 4 | Female | 51 | 3 | 1 | Research Scientist | 3 | Single | 2394 | 25681 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 8 | 2 | 7 | 7 |
| 998 | 0 | 26 | Travel_Rarely | 683 | Research & Development | 2 | 1 | Medical | 1 | 1407 | 1 | Male | 36 | 2 | 1 | Research Scientist | 4 | Single | 3904 | 4050 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 4 | 3 | 1 | 1 |
| 999 | 0 | 42 | Travel_Rarely | 1147 | Human Resources | 10 | 3 | Human Resources | 1 | 1408 | 3 | Female | 31 | 3 | 4 | Manager | 1 | Married | 16799 | 16616 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 21 | 5 | 3 | 20 | 7 | 0 | 9 |
| 1000 | 0 | 52 | Travel_Rarely | 258 | Research & Development | 8 | 4 | Other | 1 | 1409 | 3 | Female | 54 | 3 | 1 | Laboratory Technician | 1 | Married | 2950 | 17363 | 9 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 2 | 1 | 5 | 4 | 0 | 4 |
| 1001 | 0 | 37 | Travel_Rarely | 1462 | Research & Development | 11 | 3 | Medical | 1 | 1411 | 1 | Female | 94 | 3 | 1 | Laboratory Technician | 3 | Single | 3629 | 19106 | 4 | Y | No | 18 | 3 | 1 | 80 | 0 | 8 | 6 | 3 | 3 | 2 | 0 | 2 |
| 1002 | 0 | 35 | Travel_Frequently | 200 | Research & Development | 18 | 2 | Life Sciences | 1 | 1412 | 3 | Male | 60 | 3 | 3 | Manufacturing Director | 4 | Single | 9362 | 19944 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1003 | 0 | 25 | Travel_Rarely | 949 | Research & Development | 1 | 3 | Technical Degree | 1 | 1415 | 1 | Male | 81 | 3 | 1 | Laboratory Technician | 4 | Married | 3229 | 4910 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 7 | 2 | 2 | 3 | 2 | 0 | 2 |
| 1004 | 0 | 26 | Travel_Rarely | 652 | Research & Development | 7 | 3 | Other | 1 | 1417 | 3 | Male | 100 | 4 | 1 | Laboratory Technician | 1 | Single | 3578 | 23577 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 7 | 7 | 0 | 7 |
| 1005 | 0 | 29 | Travel_Rarely | 332 | Human Resources | 17 | 3 | Other | 1 | 1419 | 2 | Male | 51 | 2 | 3 | Human Resources | 1 | Single | 7988 | 9769 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 10 | 3 | 2 | 10 | 9 | 0 | 9 |
| 1006 | 1 | 49 | Travel_Frequently | 1475 | Research & Development | 28 | 2 | Life Sciences | 1 | 1420 | 1 | Male | 97 | 2 | 2 | Laboratory Technician | 1 | Single | 4284 | 22710 | 3 | Y | No | 20 | 4 | 1 | 80 | 0 | 20 | 2 | 3 | 4 | 3 | 1 | 3 |
| 1007 | 1 | 29 | Travel_Frequently | 337 | Research & Development | 14 | 1 | Other | 1 | 1421 | 3 | Female | 84 | 3 | 3 | Healthcare Representative | 4 | Single | 7553 | 22930 | 0 | Y | Yes | 12 | 3 | 1 | 80 | 0 | 9 | 1 | 3 | 8 | 7 | 7 | 7 |
| 1008 | 0 | 54 | Travel_Rarely | 971 | Research & Development | 1 | 3 | Medical | 1 | 1422 | 4 | Female | 54 | 3 | 4 | Research Director | 4 | Single | 17328 | 5652 | 6 | Y | No | 19 | 3 | 4 | 80 | 0 | 29 | 3 | 2 | 20 | 7 | 12 | 7 |
| 1009 | 0 | 58 | Travel_Rarely | 1055 | Research & Development | 1 | 3 | Medical | 1 | 1423 | 4 | Female | 76 | 3 | 5 | Research Director | 1 | Married | 19701 | 22456 | 3 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 32 | 3 | 3 | 9 | 8 | 1 | 5 |
| 1010 | 0 | 55 | Travel_Rarely | 1136 | Research & Development | 1 | 4 | Medical | 1 | 1424 | 2 | Male | 81 | 4 | 4 | Research Director | 4 | Divorced | 14732 | 12414 | 2 | Y | No | 13 | 3 | 4 | 80 | 2 | 31 | 4 | 4 | 7 | 7 | 0 | 0 |
| 1011 | 0 | 36 | Travel_Rarely | 1174 | Sales | 3 | 4 | Marketing | 1 | 1425 | 1 | Female | 99 | 3 | 2 | Sales Executive | 2 | Single | 9278 | 20763 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 15 | 3 | 3 | 5 | 4 | 0 | 1 |
| 1012 | 1 | 31 | Travel_Frequently | 667 | Sales | 1 | 4 | Life Sciences | 1 | 1427 | 2 | Female | 50 | 1 | 1 | Sales Representative | 3 | Single | 1359 | 16154 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1013 | 0 | 30 | Travel_Rarely | 855 | Sales | 7 | 4 | Marketing | 1 | 1428 | 4 | Female | 73 | 3 | 2 | Sales Executive | 1 | Divorced | 4779 | 12761 | 7 | Y | No | 14 | 3 | 2 | 80 | 2 | 8 | 3 | 3 | 3 | 2 | 0 | 2 |
| 1014 | 0 | 31 | Travel_Rarely | 182 | Research & Development | 8 | 5 | Life Sciences | 1 | 1430 | 1 | Female | 93 | 3 | 4 | Research Director | 2 | Single | 16422 | 8847 | 3 | Y | No | 11 | 3 | 3 | 80 | 0 | 9 | 3 | 4 | 3 | 2 | 1 | 0 |
| 1015 | 0 | 34 | Travel_Frequently | 560 | Research & Development | 1 | 4 | Other | 1 | 1431 | 4 | Male | 91 | 3 | 1 | Research Scientist | 1 | Divorced | 2996 | 20284 | 5 | Y | No | 14 | 3 | 3 | 80 | 2 | 10 | 2 | 3 | 4 | 3 | 1 | 3 |
| 1016 | 1 | 31 | Travel_Rarely | 202 | Research & Development | 8 | 3 | Life Sciences | 1 | 1433 | 1 | Female | 34 | 2 | 1 | Research Scientist | 2 | Single | 1261 | 22262 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 |
| 1017 | 0 | 27 | Travel_Rarely | 1377 | Research & Development | 11 | 1 | Life Sciences | 1 | 1434 | 2 | Male | 91 | 3 | 1 | Laboratory Technician | 1 | Married | 2099 | 7679 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 6 | 3 | 4 | 5 | 0 | 1 | 4 |
| 1018 | 0 | 36 | Travel_Rarely | 172 | Research & Development | 4 | 4 | Life Sciences | 1 | 1435 | 1 | Male | 37 | 2 | 2 | Laboratory Technician | 4 | Single | 5810 | 22604 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 4 | 1 | 8 |
| 1019 | 0 | 36 | Travel_Rarely | 329 | Sales | 16 | 4 | Marketing | 1 | 1436 | 3 | Female | 98 | 2 | 2 | Sales Executive | 1 | Married | 5647 | 13494 | 4 | Y | No | 13 | 3 | 1 | 80 | 2 | 11 | 3 | 2 | 3 | 2 | 0 | 2 |
| 1020 | 0 | 47 | Travel_Rarely | 465 | Research & Development | 1 | 3 | Technical Degree | 1 | 1438 | 1 | Male | 74 | 3 | 1 | Research Scientist | 4 | Married | 3420 | 10205 | 7 | Y | No | 12 | 3 | 3 | 80 | 1 | 17 | 2 | 2 | 6 | 5 | 1 | 2 |
| 1021 | 1 | 25 | Travel_Rarely | 383 | Sales | 9 | 2 | Life Sciences | 1 | 1439 | 1 | Male | 68 | 2 | 1 | Sales Representative | 1 | Married | 4400 | 15182 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 2 | 3 | 3 | 2 | 2 | 2 |
| 1022 | 0 | 37 | Non-Travel | 1413 | Research & Development | 5 | 2 | Technical Degree | 1 | 1440 | 3 | Male | 84 | 4 | 1 | Laboratory Technician | 3 | Single | 3500 | 25470 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 7 | 2 | 1 | 6 | 5 | 1 | 3 |
| 1023 | 0 | 56 | Travel_Rarely | 1255 | Research & Development | 1 | 2 | Life Sciences | 1 | 1441 | 1 | Female | 90 | 3 | 1 | Research Scientist | 1 | Married | 2066 | 10494 | 2 | Y | No | 22 | 4 | 4 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 1 | 0 |
| 1024 | 0 | 47 | Travel_Rarely | 359 | Research & Development | 2 | 4 | Medical | 1 | 1443 | 1 | Female | 82 | 3 | 4 | Research Director | 3 | Married | 17169 | 26703 | 3 | Y | No | 19 | 3 | 2 | 80 | 2 | 26 | 2 | 4 | 20 | 17 | 5 | 6 |
| 1025 | 0 | 24 | Travel_Rarely | 1476 | Sales | 4 | 1 | Medical | 1 | 1445 | 4 | Female | 42 | 3 | 2 | Sales Executive | 3 | Married | 4162 | 15211 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 5 | 3 | 3 | 5 | 4 | 0 | 3 |
| 1026 | 0 | 32 | Travel_Rarely | 601 | Sales | 7 | 5 | Marketing | 1 | 1446 | 4 | Male | 97 | 3 | 2 | Sales Executive | 4 | Married | 9204 | 23343 | 4 | Y | No | 12 | 3 | 3 | 80 | 1 | 7 | 3 | 2 | 4 | 3 | 0 | 3 |
| 1027 | 0 | 34 | Travel_Rarely | 401 | Research & Development | 1 | 3 | Life Sciences | 1 | 1447 | 4 | Female | 86 | 2 | 1 | Laboratory Technician | 2 | Married | 3294 | 3708 | 5 | Y | No | 17 | 3 | 1 | 80 | 1 | 7 | 2 | 2 | 5 | 4 | 0 | 2 |
| 1028 | 0 | 41 | Travel_Rarely | 1283 | Research & Development | 5 | 5 | Medical | 1 | 1448 | 2 | Male | 90 | 4 | 1 | Research Scientist | 3 | Married | 2127 | 5561 | 2 | Y | Yes | 12 | 3 | 1 | 80 | 0 | 7 | 5 | 2 | 4 | 2 | 0 | 3 |
| 1029 | 0 | 40 | Non-Travel | 663 | Research & Development | 9 | 4 | Other | 1 | 1449 | 3 | Male | 81 | 3 | 2 | Laboratory Technician | 3 | Divorced | 3975 | 23099 | 3 | Y | No | 11 | 3 | 3 | 80 | 2 | 11 | 2 | 4 | 8 | 7 | 0 | 7 |
| 1030 | 0 | 31 | Travel_Rarely | 326 | Sales | 8 | 2 | Life Sciences | 1 | 1453 | 1 | Male | 31 | 3 | 3 | Sales Executive | 4 | Divorced | 10793 | 8386 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 13 | 5 | 3 | 13 | 7 | 9 | 9 |
| 1031 | 1 | 46 | Travel_Rarely | 377 | Sales | 9 | 3 | Marketing | 1 | 1457 | 1 | Male | 52 | 3 | 3 | Sales Executive | 4 | Divorced | 10096 | 15986 | 4 | Y | No | 11 | 3 | 1 | 80 | 1 | 28 | 1 | 4 | 7 | 7 | 4 | 3 |
| 1032 | 1 | 39 | Non-Travel | 592 | Research & Development | 2 | 3 | Life Sciences | 1 | 1458 | 1 | Female | 54 | 2 | 1 | Laboratory Technician | 1 | Single | 3646 | 17181 | 2 | Y | Yes | 23 | 4 | 2 | 80 | 0 | 11 | 2 | 4 | 1 | 0 | 0 | 0 |
| 1033 | 1 | 31 | Travel_Frequently | 1445 | Research & Development | 1 | 5 | Life Sciences | 1 | 1459 | 3 | Female | 100 | 4 | 3 | Manufacturing Director | 2 | Single | 7446 | 8931 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 4 | 7 |
| 1034 | 0 | 45 | Travel_Rarely | 1038 | Research & Development | 20 | 3 | Medical | 1 | 1460 | 2 | Male | 95 | 1 | 3 | Healthcare Representative | 1 | Divorced | 10851 | 19863 | 2 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 24 | 2 | 3 | 7 | 7 | 0 | 7 |
| 1035 | 0 | 31 | Travel_Rarely | 1398 | Human Resources | 8 | 2 | Medical | 1 | 1461 | 4 | Female | 96 | 4 | 1 | Human Resources | 2 | Single | 2109 | 24609 | 9 | Y | No | 18 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 3 | 2 | 0 | 2 |
| 1036 | 1 | 31 | Travel_Frequently | 523 | Research & Development | 2 | 3 | Life Sciences | 1 | 1464 | 2 | Male | 94 | 3 | 1 | Laboratory Technician | 4 | Married | 3722 | 21081 | 6 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 7 | 2 | 1 | 2 | 2 | 2 | 2 |
| 1037 | 0 | 45 | Travel_Rarely | 1448 | Research & Development | 29 | 3 | Technical Degree | 1 | 1465 | 2 | Male | 55 | 3 | 3 | Manufacturing Director | 4 | Married | 9380 | 14720 | 4 | Y | Yes | 18 | 3 | 4 | 80 | 2 | 10 | 4 | 4 | 3 | 1 | 1 | 2 |
| 1038 | 0 | 48 | Travel_Rarely | 1221 | Sales | 7 | 3 | Marketing | 1 | 1466 | 3 | Male | 96 | 3 | 2 | Sales Executive | 1 | Divorced | 5486 | 24795 | 4 | Y | No | 11 | 3 | 1 | 80 | 3 | 15 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1039 | 1 | 34 | Travel_Rarely | 1107 | Human Resources | 9 | 4 | Technical Degree | 1 | 1467 | 1 | Female | 52 | 3 | 1 | Human Resources | 3 | Married | 2742 | 3072 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 2 | 0 | 3 | 2 | 2 | 2 | 2 |
| 1040 | 0 | 40 | Non-Travel | 218 | Research & Development | 8 | 1 | Medical | 1 | 1468 | 4 | Male | 55 | 2 | 3 | Research Director | 2 | Divorced | 13757 | 25178 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 16 | 5 | 3 | 9 | 8 | 4 | 8 |
| 1041 | 0 | 28 | Travel_Rarely | 866 | Sales | 5 | 3 | Medical | 1 | 1469 | 4 | Male | 84 | 3 | 2 | Sales Executive | 1 | Single | 8463 | 23490 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 6 | 4 | 3 | 5 | 4 | 1 | 3 |
| 1042 | 0 | 44 | Non-Travel | 981 | Research & Development | 5 | 3 | Life Sciences | 1 | 1471 | 3 | Male | 90 | 2 | 1 | Laboratory Technician | 3 | Single | 3162 | 7973 | 3 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 5 | 3 | 5 | 2 | 0 | 3 |
| 1043 | 0 | 53 | Travel_Rarely | 447 | Research & Development | 2 | 3 | Medical | 1 | 1472 | 4 | Male | 39 | 4 | 4 | Research Director | 2 | Single | 16598 | 19764 | 4 | Y | No | 12 | 3 | 2 | 80 | 0 | 35 | 2 | 2 | 9 | 8 | 8 | 8 |
| 1044 | 0 | 49 | Travel_Rarely | 1495 | Research & Development | 5 | 4 | Technical Degree | 1 | 1473 | 1 | Male | 96 | 3 | 2 | Healthcare Representative | 3 | Married | 6651 | 21534 | 2 | Y | No | 14 | 3 | 2 | 80 | 1 | 20 | 0 | 2 | 3 | 2 | 1 | 2 |
| 1045 | 0 | 40 | Travel_Rarely | 896 | Research & Development | 2 | 3 | Medical | 1 | 1474 | 3 | Male | 68 | 3 | 1 | Research Scientist | 3 | Divorced | 2345 | 8045 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 8 | 3 | 4 | 3 | 1 | 1 | 2 |
| 1046 | 0 | 44 | Travel_Rarely | 1467 | Research & Development | 20 | 3 | Life Sciences | 1 | 1475 | 4 | Male | 49 | 3 | 1 | Research Scientist | 2 | Single | 3420 | 21158 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 5 | 2 | 1 | 3 |
| 1047 | 0 | 33 | Travel_Frequently | 430 | Sales | 7 | 3 | Medical | 1 | 1477 | 4 | Male | 54 | 3 | 2 | Sales Executive | 1 | Married | 4373 | 17456 | 0 | Y | No | 14 | 3 | 1 | 80 | 2 | 5 | 2 | 3 | 4 | 3 | 0 | 3 |
| 1048 | 0 | 34 | Travel_Rarely | 1326 | Sales | 3 | 3 | Other | 1 | 1478 | 4 | Male | 81 | 1 | 2 | Sales Executive | 1 | Single | 4759 | 15891 | 3 | Y | No | 18 | 3 | 4 | 80 | 0 | 15 | 2 | 3 | 13 | 9 | 3 | 12 |
| 1049 | 0 | 30 | Travel_Rarely | 1358 | Sales | 16 | 1 | Life Sciences | 1 | 1479 | 4 | Male | 96 | 3 | 2 | Sales Executive | 3 | Married | 5301 | 2939 | 8 | Y | No | 15 | 3 | 3 | 80 | 2 | 4 | 2 | 2 | 2 | 1 | 2 | 2 |
| 1050 | 0 | 42 | Travel_Frequently | 748 | Research & Development | 9 | 2 | Medical | 1 | 1480 | 1 | Female | 74 | 3 | 1 | Laboratory Technician | 4 | Single | 3673 | 16458 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 3 | 3 | 12 | 9 | 5 | 8 |
| 1051 | 0 | 44 | Travel_Frequently | 383 | Sales | 1 | 5 | Marketing | 1 | 1481 | 1 | Female | 79 | 3 | 2 | Sales Executive | 3 | Married | 4768 | 9282 | 7 | Y | No | 12 | 3 | 3 | 80 | 1 | 11 | 4 | 2 | 1 | 0 | 0 | 0 |
| 1052 | 0 | 30 | Non-Travel | 990 | Research & Development | 7 | 3 | Technical Degree | 1 | 1482 | 3 | Male | 64 | 3 | 1 | Research Scientist | 3 | Divorced | 1274 | 7152 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 1 | 2 | 2 | 1 | 0 | 0 | 0 |
| 1053 | 0 | 57 | Travel_Rarely | 405 | Research & Development | 1 | 2 | Life Sciences | 1 | 1483 | 2 | Male | 93 | 4 | 2 | Research Scientist | 3 | Married | 4900 | 2721 | 0 | Y | No | 24 | 4 | 1 | 80 | 1 | 13 | 2 | 2 | 12 | 9 | 2 | 8 |
| 1054 | 0 | 49 | Travel_Rarely | 1490 | Research & Development | 7 | 4 | Life Sciences | 1 | 1484 | 3 | Male | 35 | 3 | 3 | Healthcare Representative | 2 | Divorced | 10466 | 20948 | 3 | Y | No | 14 | 3 | 2 | 80 | 2 | 29 | 3 | 3 | 8 | 7 | 0 | 7 |
| 1055 | 0 | 34 | Travel_Frequently | 829 | Research & Development | 15 | 3 | Medical | 1 | 1485 | 2 | Male | 71 | 3 | 4 | Research Director | 1 | Divorced | 17007 | 11929 | 7 | Y | No | 14 | 3 | 4 | 80 | 2 | 16 | 3 | 2 | 14 | 8 | 6 | 9 |
| 1056 | 1 | 28 | Travel_Frequently | 1496 | Sales | 1 | 3 | Technical Degree | 1 | 1486 | 1 | Male | 92 | 3 | 1 | Sales Representative | 3 | Married | 2909 | 15747 | 3 | Y | No | 15 | 3 | 4 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 1 | 2 |
| 1057 | 1 | 29 | Travel_Frequently | 115 | Sales | 13 | 3 | Technical Degree | 1 | 1487 | 1 | Female | 51 | 3 | 2 | Sales Executive | 2 | Single | 5765 | 17485 | 5 | Y | No | 11 | 3 | 1 | 80 | 0 | 7 | 4 | 1 | 5 | 3 | 0 | 0 |
| 1058 | 1 | 34 | Travel_Rarely | 790 | Sales | 24 | 4 | Medical | 1 | 1489 | 1 | Female | 40 | 2 | 2 | Sales Executive | 2 | Single | 4599 | 7815 | 0 | Y | Yes | 23 | 4 | 3 | 80 | 0 | 16 | 2 | 4 | 15 | 9 | 10 | 10 |
| 1059 | 0 | 35 | Travel_Rarely | 660 | Sales | 7 | 1 | Life Sciences | 1 | 1492 | 4 | Male | 76 | 3 | 1 | Sales Representative | 3 | Married | 2404 | 16192 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1060 | 1 | 24 | Travel_Frequently | 381 | Research & Development | 9 | 3 | Medical | 1 | 1494 | 2 | Male | 89 | 3 | 1 | Laboratory Technician | 1 | Single | 3172 | 16998 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 |
| 1061 | 0 | 24 | Non-Travel | 830 | Sales | 13 | 2 | Life Sciences | 1 | 1495 | 4 | Female | 78 | 3 | 1 | Sales Representative | 2 | Married | 2033 | 7103 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1062 | 0 | 44 | Travel_Frequently | 1193 | Research & Development | 2 | 1 | Medical | 1 | 1496 | 2 | Male | 86 | 3 | 3 | Manufacturing Director | 3 | Single | 10209 | 19719 | 5 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 16 | 2 | 2 | 2 | 2 | 2 | 2 |
| 1063 | 0 | 29 | Travel_Rarely | 1246 | Sales | 19 | 3 | Life Sciences | 1 | 1497 | 3 | Male | 77 | 2 | 2 | Sales Executive | 3 | Divorced | 8620 | 23757 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 10 | 3 | 3 | 10 | 7 | 0 | 4 |
| 1064 | 0 | 30 | Travel_Rarely | 330 | Human Resources | 1 | 3 | Life Sciences | 1 | 1499 | 3 | Male | 46 | 3 | 1 | Human Resources | 3 | Divorced | 2064 | 15428 | 0 | Y | No | 21 | 4 | 1 | 80 | 1 | 6 | 3 | 4 | 5 | 3 | 1 | 3 |
| 1065 | 0 | 55 | Travel_Rarely | 1229 | Research & Development | 4 | 4 | Life Sciences | 1 | 1501 | 4 | Male | 30 | 3 | 2 | Healthcare Representative | 3 | Married | 4035 | 16143 | 0 | Y | Yes | 16 | 3 | 2 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 1 | 2 |
| 1066 | 0 | 33 | Travel_Rarely | 1099 | Research & Development | 4 | 4 | Medical | 1 | 1502 | 1 | Female | 82 | 2 | 1 | Laboratory Technician | 2 | Married | 3838 | 8192 | 8 | Y | No | 11 | 3 | 4 | 80 | 0 | 8 | 5 | 3 | 5 | 4 | 0 | 2 |
| 1067 | 0 | 47 | Travel_Rarely | 571 | Sales | 14 | 3 | Medical | 1 | 1503 | 3 | Female | 78 | 3 | 2 | Sales Executive | 3 | Married | 4591 | 24200 | 3 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 11 | 4 | 2 | 5 | 4 | 1 | 2 |
| 1068 | 1 | 28 | Travel_Frequently | 289 | Research & Development | 2 | 2 | Medical | 1 | 1504 | 3 | Male | 38 | 2 | 1 | Laboratory Technician | 1 | Single | 2561 | 5355 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 2 | 0 | 0 | 0 | 0 |
| 1069 | 0 | 28 | Travel_Rarely | 1423 | Research & Development | 1 | 3 | Life Sciences | 1 | 1506 | 1 | Male | 72 | 2 | 1 | Research Scientist | 3 | Divorced | 1563 | 12530 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 0 |
| 1070 | 0 | 28 | Travel_Frequently | 467 | Sales | 7 | 3 | Life Sciences | 1 | 1507 | 3 | Male | 55 | 3 | 2 | Sales Executive | 1 | Single | 4898 | 11827 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 5 | 5 | 3 | 4 | 2 | 1 | 3 |
| 1071 | 0 | 49 | Travel_Rarely | 271 | Research & Development | 3 | 2 | Medical | 1 | 1509 | 3 | Female | 43 | 2 | 2 | Laboratory Technician | 1 | Married | 4789 | 23070 | 4 | Y | No | 25 | 4 | 1 | 80 | 1 | 10 | 3 | 3 | 3 | 2 | 1 | 2 |
| 1072 | 0 | 29 | Travel_Frequently | 410 | Research & Development | 2 | 1 | Life Sciences | 1 | 1513 | 4 | Female | 97 | 3 | 1 | Laboratory Technician | 2 | Married | 3180 | 4668 | 0 | Y | No | 13 | 3 | 3 | 80 | 3 | 4 | 3 | 3 | 3 | 2 | 0 | 2 |
| 1073 | 0 | 28 | Travel_Rarely | 1083 | Research & Development | 29 | 1 | Life Sciences | 1 | 1514 | 3 | Male | 96 | 1 | 2 | Manufacturing Director | 2 | Married | 6549 | 3173 | 1 | Y | No | 14 | 3 | 2 | 80 | 2 | 8 | 2 | 2 | 8 | 6 | 1 | 7 |
| 1074 | 0 | 33 | Travel_Rarely | 516 | Research & Development | 8 | 5 | Life Sciences | 1 | 1515 | 4 | Male | 69 | 3 | 2 | Healthcare Representative | 3 | Single | 6388 | 22049 | 2 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 14 | 6 | 3 | 0 | 0 | 0 | 0 |
| 1075 | 0 | 32 | Travel_Rarely | 495 | Research & Development | 10 | 3 | Medical | 1 | 1516 | 3 | Male | 64 | 3 | 3 | Manager | 4 | Single | 11244 | 21072 | 2 | Y | No | 25 | 4 | 2 | 80 | 0 | 10 | 5 | 4 | 5 | 2 | 0 | 0 |
| 1076 | 0 | 54 | Travel_Frequently | 1050 | Research & Development | 11 | 4 | Medical | 1 | 1520 | 2 | Female | 87 | 3 | 4 | Manager | 4 | Divorced | 16032 | 24456 | 3 | Y | No | 20 | 4 | 1 | 80 | 1 | 26 | 2 | 3 | 14 | 9 | 1 | 12 |
| 1077 | 1 | 29 | Travel_Rarely | 224 | Research & Development | 1 | 4 | Technical Degree | 1 | 1522 | 1 | Male | 100 | 2 | 1 | Research Scientist | 1 | Single | 2362 | 7568 | 6 | Y | No | 13 | 3 | 3 | 80 | 0 | 11 | 2 | 1 | 9 | 7 | 0 | 7 |
| 1078 | 0 | 44 | Travel_Rarely | 136 | Research & Development | 28 | 3 | Life Sciences | 1 | 1523 | 4 | Male | 32 | 3 | 4 | Research Director | 1 | Married | 16328 | 22074 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 24 | 1 | 4 | 20 | 6 | 14 | 17 |
| 1079 | 0 | 39 | Travel_Rarely | 1089 | Research & Development | 6 | 3 | Life Sciences | 1 | 1525 | 2 | Female | 32 | 3 | 3 | Manufacturing Director | 2 | Single | 8376 | 9150 | 4 | Y | No | 18 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 2 | 0 | 2 | 2 |
| 1080 | 0 | 46 | Travel_Rarely | 228 | Sales | 3 | 3 | Life Sciences | 1 | 1527 | 3 | Female | 51 | 3 | 4 | Manager | 2 | Married | 16606 | 11380 | 8 | Y | No | 12 | 3 | 4 | 80 | 1 | 23 | 2 | 4 | 13 | 12 | 5 | 1 |
| 1081 | 0 | 35 | Travel_Rarely | 1029 | Research & Development | 16 | 3 | Life Sciences | 1 | 1529 | 4 | Female | 91 | 2 | 3 | Healthcare Representative | 2 | Single | 8606 | 21195 | 1 | Y | No | 19 | 3 | 4 | 80 | 0 | 11 | 3 | 1 | 11 | 8 | 3 | 3 |
| 1082 | 0 | 23 | Travel_Rarely | 507 | Research & Development | 20 | 1 | Life Sciences | 1 | 1533 | 1 | Male | 97 | 3 | 2 | Laboratory Technician | 3 | Single | 2272 | 24812 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 2 | 3 | 4 | 3 | 1 | 2 |
| 1083 | 1 | 40 | Travel_Rarely | 676 | Research & Development | 9 | 4 | Life Sciences | 1 | 1534 | 4 | Male | 86 | 3 | 1 | Laboratory Technician | 1 | Single | 2018 | 21831 | 3 | Y | No | 14 | 3 | 2 | 80 | 0 | 15 | 3 | 1 | 5 | 4 | 1 | 0 |
| 1084 | 0 | 34 | Travel_Rarely | 971 | Sales | 1 | 3 | Technical Degree | 1 | 1535 | 4 | Male | 64 | 2 | 3 | Sales Executive | 3 | Married | 7083 | 12288 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 8 | 6 |
| 1085 | 1 | 31 | Travel_Frequently | 561 | Research & Development | 3 | 3 | Life Sciences | 1 | 1537 | 4 | Female | 33 | 3 | 1 | Research Scientist | 3 | Single | 4084 | 4156 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 7 | 2 | 1 | 7 | 2 | 7 | 7 |
| 1086 | 0 | 50 | Travel_Frequently | 333 | Research & Development | 22 | 5 | Medical | 1 | 1539 | 3 | Male | 88 | 1 | 4 | Research Director | 4 | Single | 14411 | 24450 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 32 | 2 | 3 | 32 | 6 | 13 | 9 |
| 1087 | 0 | 34 | Travel_Rarely | 1440 | Sales | 7 | 2 | Technical Degree | 1 | 1541 | 2 | Male | 55 | 3 | 1 | Sales Representative | 3 | Married | 2308 | 4944 | 0 | Y | Yes | 25 | 4 | 2 | 80 | 1 | 12 | 4 | 3 | 11 | 10 | 5 | 7 |
| 1088 | 0 | 42 | Travel_Rarely | 1210 | Research & Development | 2 | 3 | Medical | 1 | 1542 | 3 | Male | 68 | 2 | 1 | Laboratory Technician | 2 | Married | 4841 | 24052 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 4 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1089 | 0 | 37 | Travel_Rarely | 674 | Research & Development | 13 | 3 | Medical | 1 | 1543 | 1 | Male | 47 | 3 | 2 | Research Scientist | 4 | Married | 4285 | 3031 | 1 | Y | No | 17 | 3 | 1 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 3 | 7 |
| 1090 | 0 | 29 | Travel_Rarely | 441 | Research & Development | 8 | 1 | Other | 1 | 1544 | 3 | Female | 39 | 1 | 2 | Healthcare Representative | 1 | Married | 9715 | 7288 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 9 | 3 | 3 | 7 | 7 | 0 | 7 |
| 1091 | 0 | 33 | Travel_Rarely | 575 | Research & Development | 25 | 3 | Life Sciences | 1 | 1545 | 4 | Male | 44 | 2 | 2 | Manufacturing Director | 2 | Single | 4320 | 24152 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 5 | 3 | 0 | 2 |
| 1092 | 0 | 45 | Travel_Rarely | 950 | Research & Development | 28 | 3 | Technical Degree | 1 | 1546 | 4 | Male | 97 | 3 | 1 | Research Scientist | 4 | Married | 2132 | 4585 | 4 | Y | No | 20 | 4 | 4 | 80 | 1 | 8 | 3 | 3 | 5 | 4 | 0 | 3 |
| 1093 | 0 | 42 | Travel_Frequently | 288 | Research & Development | 2 | 3 | Life Sciences | 1 | 1547 | 4 | Male | 40 | 3 | 3 | Healthcare Representative | 4 | Married | 10124 | 18611 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 24 | 3 | 1 | 20 | 8 | 13 | 9 |
| 1094 | 0 | 40 | Travel_Rarely | 1342 | Sales | 9 | 2 | Medical | 1 | 1548 | 1 | Male | 47 | 3 | 2 | Sales Executive | 1 | Married | 5473 | 19345 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 9 | 5 | 4 | 8 | 4 | 7 | 1 |
| 1095 | 0 | 33 | Travel_Rarely | 589 | Research & Development | 28 | 4 | Life Sciences | 1 | 1549 | 2 | Male | 79 | 3 | 2 | Laboratory Technician | 3 | Married | 5207 | 22949 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 15 | 14 | 5 | 7 |
| 1096 | 0 | 40 | Travel_Rarely | 898 | Human Resources | 6 | 2 | Medical | 1 | 1550 | 3 | Male | 38 | 3 | 4 | Manager | 4 | Single | 16437 | 17381 | 1 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 21 | 2 | 3 | 21 | 7 | 7 | 7 |
| 1097 | 0 | 24 | Travel_Rarely | 350 | Research & Development | 21 | 2 | Technical Degree | 1 | 1551 | 3 | Male | 57 | 2 | 1 | Laboratory Technician | 1 | Divorced | 2296 | 10036 | 0 | Y | No | 14 | 3 | 2 | 80 | 3 | 2 | 3 | 3 | 1 | 1 | 0 | 0 |
| 1098 | 0 | 40 | Non-Travel | 1142 | Research & Development | 8 | 2 | Life Sciences | 1 | 1552 | 4 | Male | 72 | 3 | 2 | Healthcare Representative | 4 | Divorced | 4069 | 8841 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1099 | 0 | 45 | Travel_Rarely | 538 | Research & Development | 1 | 4 | Technical Degree | 1 | 1553 | 1 | Male | 66 | 3 | 3 | Healthcare Representative | 2 | Divorced | 7441 | 20933 | 1 | Y | No | 12 | 3 | 1 | 80 | 3 | 10 | 4 | 3 | 10 | 8 | 7 | 7 |
| 1100 | 0 | 35 | Travel_Rarely | 1402 | Sales | 28 | 4 | Life Sciences | 1 | 1554 | 2 | Female | 98 | 2 | 1 | Sales Representative | 3 | Married | 2430 | 26204 | 0 | Y | No | 23 | 4 | 1 | 80 | 2 | 6 | 5 | 3 | 5 | 3 | 4 | 2 |
| 1101 | 0 | 32 | Travel_Rarely | 824 | Research & Development | 5 | 2 | Life Sciences | 1 | 1555 | 4 | Female | 67 | 2 | 2 | Research Scientist | 2 | Married | 5878 | 15624 | 3 | Y | No | 12 | 3 | 1 | 80 | 1 | 12 | 2 | 3 | 7 | 1 | 2 | 5 |
| 1102 | 0 | 36 | Travel_Rarely | 1157 | Sales | 2 | 4 | Life Sciences | 1 | 1556 | 3 | Male | 70 | 3 | 1 | Sales Representative | 4 | Single | 2644 | 17001 | 3 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 7 | 3 | 2 | 3 | 2 | 1 | 2 |
| 1103 | 0 | 48 | Travel_Rarely | 492 | Sales | 16 | 4 | Life Sciences | 1 | 1557 | 3 | Female | 96 | 3 | 2 | Sales Executive | 3 | Divorced | 6439 | 13693 | 8 | Y | No | 14 | 3 | 3 | 80 | 1 | 18 | 2 | 3 | 8 | 7 | 7 | 7 |
| 1104 | 0 | 29 | Travel_Rarely | 598 | Research & Development | 9 | 3 | Life Sciences | 1 | 1558 | 3 | Male | 91 | 4 | 1 | Research Scientist | 3 | Married | 2451 | 22376 | 6 | Y | No | 18 | 3 | 1 | 80 | 2 | 5 | 2 | 2 | 1 | 0 | 0 | 0 |
| 1105 | 0 | 33 | Travel_Rarely | 1242 | Sales | 8 | 4 | Life Sciences | 1 | 1560 | 1 | Male | 46 | 3 | 2 | Sales Executive | 1 | Married | 6392 | 10589 | 2 | Y | No | 13 | 3 | 4 | 80 | 1 | 8 | 6 | 1 | 2 | 2 | 2 | 2 |
| 1106 | 1 | 30 | Travel_Rarely | 740 | Sales | 1 | 3 | Life Sciences | 1 | 1562 | 2 | Male | 64 | 2 | 2 | Sales Executive | 1 | Married | 9714 | 5323 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 4 | 3 | 10 | 8 | 6 | 7 |
| 1107 | 0 | 38 | Travel_Frequently | 888 | Human Resources | 10 | 4 | Human Resources | 1 | 1563 | 3 | Male | 71 | 3 | 2 | Human Resources | 3 | Married | 6077 | 14814 | 3 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 6 | 3 | 1 | 2 |
| 1108 | 0 | 35 | Travel_Rarely | 992 | Research & Development | 1 | 3 | Medical | 1 | 1564 | 4 | Male | 68 | 2 | 1 | Laboratory Technician | 1 | Single | 2450 | 21731 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 3 | 3 | 3 | 3 | 0 | 1 | 2 |
| 1109 | 0 | 30 | Travel_Rarely | 1288 | Sales | 29 | 4 | Technical Degree | 1 | 1568 | 3 | Male | 33 | 3 | 3 | Sales Executive | 2 | Married | 9250 | 17799 | 3 | Y | No | 12 | 3 | 2 | 80 | 1 | 9 | 3 | 3 | 4 | 2 | 1 | 3 |
| 1110 | 1 | 35 | Travel_Rarely | 104 | Research & Development | 2 | 3 | Life Sciences | 1 | 1569 | 1 | Female | 69 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2074 | 26619 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1111 | 1 | 53 | Travel_Rarely | 607 | Research & Development | 2 | 5 | Technical Degree | 1 | 1572 | 3 | Female | 78 | 2 | 3 | Manufacturing Director | 4 | Married | 10169 | 14618 | 0 | Y | No | 16 | 3 | 2 | 80 | 1 | 34 | 4 | 3 | 33 | 7 | 1 | 9 |
| 1112 | 1 | 38 | Travel_Rarely | 903 | Research & Development | 2 | 3 | Medical | 1 | 1573 | 3 | Male | 81 | 3 | 2 | Manufacturing Director | 2 | Married | 4855 | 7653 | 4 | Y | No | 11 | 3 | 1 | 80 | 2 | 7 | 2 | 3 | 5 | 2 | 1 | 4 |
| 1113 | 0 | 32 | Non-Travel | 1200 | Research & Development | 1 | 4 | Technical Degree | 1 | 1574 | 4 | Male | 62 | 3 | 2 | Research Scientist | 1 | Married | 4087 | 25174 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 6 | 5 | 1 | 2 |
| 1114 | 0 | 48 | Travel_Rarely | 1108 | Research & Development | 15 | 4 | Other | 1 | 1576 | 3 | Female | 65 | 3 | 1 | Research Scientist | 1 | Married | 2367 | 16530 | 8 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 8 | 2 | 7 | 6 |
| 1115 | 0 | 34 | Travel_Rarely | 479 | Research & Development | 7 | 4 | Medical | 1 | 1577 | 1 | Male | 35 | 3 | 1 | Research Scientist | 4 | Single | 2972 | 22061 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 1 | 4 | 1 | 1 | 0 | 0 | 0 |
| 1116 | 0 | 55 | Travel_Rarely | 685 | Sales | 26 | 5 | Marketing | 1 | 1578 | 3 | Male | 60 | 2 | 5 | Manager | 4 | Married | 19586 | 23037 | 1 | Y | No | 21 | 4 | 3 | 80 | 1 | 36 | 3 | 3 | 36 | 6 | 2 | 13 |
| 1117 | 0 | 34 | Travel_Rarely | 1351 | Research & Development | 1 | 4 | Life Sciences | 1 | 1580 | 2 | Male | 45 | 3 | 2 | Research Scientist | 4 | Married | 5484 | 13008 | 9 | Y | No | 17 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 2 | 2 | 2 | 1 |
| 1118 | 0 | 26 | Travel_Rarely | 474 | Research & Development | 3 | 3 | Life Sciences | 1 | 1581 | 1 | Female | 89 | 3 | 1 | Research Scientist | 4 | Married | 2061 | 11133 | 1 | Y | No | 21 | 4 | 1 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 0 | 0 |
| 1119 | 0 | 38 | Travel_Rarely | 1245 | Sales | 14 | 3 | Life Sciences | 1 | 1582 | 3 | Male | 80 | 3 | 2 | Sales Executive | 2 | Married | 9924 | 12355 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 3 | 3 | 9 | 8 | 7 | 7 |
| 1120 | 0 | 38 | Travel_Rarely | 437 | Sales | 16 | 3 | Life Sciences | 1 | 1583 | 2 | Female | 90 | 3 | 2 | Sales Executive | 2 | Single | 4198 | 16379 | 2 | Y | No | 12 | 3 | 2 | 80 | 0 | 8 | 5 | 4 | 3 | 2 | 1 | 2 |
| 1121 | 0 | 36 | Travel_Rarely | 884 | Sales | 1 | 4 | Life Sciences | 1 | 1585 | 2 | Female | 73 | 3 | 2 | Sales Executive | 3 | Single | 6815 | 21447 | 6 | Y | No | 13 | 3 | 1 | 80 | 0 | 15 | 5 | 3 | 1 | 0 | 0 | 0 |
| 1122 | 0 | 29 | Travel_Rarely | 1370 | Research & Development | 3 | 1 | Medical | 1 | 1586 | 2 | Male | 87 | 3 | 1 | Laboratory Technician | 1 | Single | 4723 | 16213 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 1 | 5 |
| 1123 | 0 | 35 | Travel_Rarely | 670 | Research & Development | 10 | 4 | Medical | 1 | 1587 | 1 | Female | 51 | 3 | 2 | Healthcare Representative | 3 | Single | 6142 | 4223 | 3 | Y | Yes | 16 | 3 | 3 | 80 | 0 | 10 | 4 | 3 | 5 | 2 | 0 | 4 |
| 1124 | 0 | 39 | Travel_Rarely | 1462 | Sales | 6 | 3 | Medical | 1 | 1588 | 4 | Male | 38 | 4 | 3 | Sales Executive | 3 | Married | 8237 | 4658 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 11 | 3 | 3 | 7 | 6 | 7 | 6 |
| 1125 | 0 | 29 | Travel_Frequently | 995 | Research & Development | 2 | 1 | Life Sciences | 1 | 1590 | 1 | Male | 87 | 3 | 2 | Healthcare Representative | 4 | Divorced | 8853 | 24483 | 1 | Y | No | 19 | 3 | 4 | 80 | 1 | 6 | 0 | 4 | 6 | 4 | 1 | 3 |
| 1126 | 0 | 50 | Travel_Rarely | 264 | Sales | 9 | 3 | Marketing | 1 | 1591 | 3 | Male | 59 | 3 | 5 | Manager | 3 | Married | 19331 | 19519 | 4 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 27 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1127 | 0 | 23 | Travel_Rarely | 977 | Research & Development | 10 | 3 | Technical Degree | 1 | 1592 | 4 | Male | 45 | 4 | 1 | Research Scientist | 3 | Married | 2073 | 12826 | 2 | Y | No | 16 | 3 | 4 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1128 | 0 | 36 | Travel_Frequently | 1302 | Research & Development | 6 | 4 | Life Sciences | 1 | 1594 | 1 | Male | 80 | 4 | 2 | Laboratory Technician | 1 | Married | 5562 | 19711 | 3 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 9 | 3 | 3 | 3 | 2 | 0 | 2 |
| 1129 | 0 | 42 | Travel_Rarely | 1059 | Research & Development | 9 | 2 | Other | 1 | 1595 | 4 | Male | 93 | 2 | 5 | Manager | 4 | Single | 19613 | 26362 | 8 | Y | No | 22 | 4 | 4 | 80 | 0 | 24 | 2 | 3 | 1 | 0 | 0 | 1 |
| 1130 | 0 | 35 | Travel_Rarely | 750 | Research & Development | 28 | 3 | Life Sciences | 1 | 1596 | 2 | Male | 46 | 4 | 2 | Laboratory Technician | 3 | Married | 3407 | 25348 | 1 | Y | No | 17 | 3 | 4 | 80 | 2 | 10 | 3 | 2 | 10 | 9 | 6 | 8 |
| 1131 | 0 | 34 | Travel_Frequently | 653 | Research & Development | 10 | 4 | Technical Degree | 1 | 1597 | 4 | Male | 92 | 2 | 2 | Healthcare Representative | 3 | Married | 5063 | 15332 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 8 | 3 | 2 | 8 | 2 | 7 | 7 |
| 1132 | 0 | 40 | Travel_Rarely | 118 | Sales | 14 | 2 | Life Sciences | 1 | 1598 | 4 | Female | 84 | 3 | 2 | Sales Executive | 1 | Married | 4639 | 11262 | 1 | Y | No | 15 | 3 | 3 | 80 | 1 | 5 | 2 | 3 | 5 | 4 | 1 | 2 |
| 1133 | 0 | 43 | Travel_Rarely | 990 | Research & Development | 27 | 3 | Technical Degree | 1 | 1599 | 4 | Male | 87 | 4 | 1 | Laboratory Technician | 2 | Divorced | 4876 | 5855 | 5 | Y | No | 12 | 3 | 3 | 80 | 1 | 8 | 0 | 3 | 6 | 4 | 0 | 2 |
| 1134 | 0 | 35 | Travel_Rarely | 1349 | Research & Development | 7 | 2 | Life Sciences | 1 | 1601 | 3 | Male | 63 | 2 | 1 | Laboratory Technician | 4 | Married | 2690 | 7713 | 1 | Y | No | 18 | 3 | 4 | 80 | 1 | 1 | 5 | 2 | 1 | 0 | 0 | 1 |
| 1135 | 0 | 46 | Travel_Rarely | 563 | Sales | 1 | 4 | Life Sciences | 1 | 1602 | 4 | Male | 56 | 4 | 4 | Manager | 1 | Single | 17567 | 3156 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 27 | 5 | 1 | 26 | 0 | 0 | 12 |
| 1136 | 1 | 28 | Travel_Rarely | 329 | Research & Development | 24 | 3 | Medical | 1 | 1604 | 3 | Male | 51 | 3 | 1 | Laboratory Technician | 2 | Married | 2408 | 7324 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 3 | 1 | 3 | 3 | 1 | 1 | 0 | 0 |
| 1137 | 0 | 22 | Non-Travel | 457 | Research & Development | 26 | 2 | Other | 1 | 1605 | 2 | Female | 85 | 2 | 1 | Research Scientist | 3 | Married | 2814 | 10293 | 1 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 2 | 1 | 3 |
| 1138 | 0 | 50 | Travel_Frequently | 1234 | Research & Development | 20 | 5 | Medical | 1 | 1606 | 2 | Male | 41 | 3 | 4 | Healthcare Representative | 3 | Married | 11245 | 20689 | 2 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 32 | 3 | 3 | 30 | 8 | 12 | 13 |
| 1139 | 0 | 32 | Travel_Rarely | 634 | Research & Development | 5 | 4 | Other | 1 | 1607 | 2 | Female | 35 | 4 | 1 | Research Scientist | 4 | Married | 3312 | 18783 | 3 | Y | No | 17 | 3 | 4 | 80 | 2 | 6 | 3 | 3 | 3 | 2 | 0 | 2 |
| 1140 | 0 | 44 | Travel_Rarely | 1313 | Research & Development | 7 | 3 | Medical | 1 | 1608 | 2 | Female | 31 | 3 | 5 | Research Director | 4 | Divorced | 19049 | 3549 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 23 | 4 | 2 | 22 | 7 | 1 | 10 |
| 1141 | 0 | 30 | Travel_Rarely | 241 | Research & Development | 7 | 3 | Medical | 1 | 1609 | 2 | Male | 48 | 2 | 1 | Research Scientist | 2 | Married | 2141 | 5348 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 6 | 3 | 2 | 6 | 4 | 1 | 1 |
| 1142 | 0 | 45 | Travel_Rarely | 1015 | Research & Development | 5 | 5 | Medical | 1 | 1611 | 3 | Female | 50 | 1 | 2 | Laboratory Technician | 1 | Single | 5769 | 23447 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 10 | 7 | 1 | 4 |
| 1143 | 0 | 45 | Non-Travel | 336 | Sales | 26 | 3 | Marketing | 1 | 1612 | 1 | Male | 52 | 2 | 2 | Sales Executive | 1 | Married | 4385 | 24162 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 4 | 5 |
| 1144 | 0 | 31 | Travel_Frequently | 715 | Sales | 2 | 4 | Other | 1 | 1613 | 4 | Male | 54 | 3 | 2 | Sales Executive | 1 | Single | 5332 | 21602 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 5 | 2 | 0 | 3 |
| 1145 | 0 | 36 | Travel_Rarely | 559 | Research & Development | 12 | 4 | Life Sciences | 1 | 1614 | 3 | Female | 76 | 3 | 2 | Manufacturing Director | 3 | Married | 4663 | 12421 | 9 | Y | Yes | 12 | 3 | 2 | 80 | 2 | 7 | 2 | 3 | 3 | 2 | 1 | 1 |
| 1146 | 0 | 34 | Travel_Frequently | 426 | Research & Development | 10 | 4 | Life Sciences | 1 | 1615 | 3 | Male | 42 | 4 | 2 | Manufacturing Director | 4 | Divorced | 4724 | 17000 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 9 | 3 | 3 | 9 | 7 | 7 | 2 |
| 1147 | 0 | 49 | Travel_Rarely | 722 | Research & Development | 25 | 4 | Life Sciences | 1 | 1617 | 3 | Female | 84 | 3 | 1 | Laboratory Technician | 1 | Married | 3211 | 22102 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 9 | 6 | 1 | 4 |
| 1148 | 0 | 39 | Travel_Rarely | 1387 | Research & Development | 10 | 5 | Medical | 1 | 1618 | 2 | Male | 76 | 3 | 2 | Manufacturing Director | 1 | Married | 5377 | 3835 | 2 | Y | No | 13 | 3 | 4 | 80 | 3 | 10 | 3 | 3 | 7 | 7 | 7 | 7 |
| 1149 | 0 | 27 | Travel_Rarely | 1302 | Research & Development | 19 | 3 | Other | 1 | 1619 | 4 | Male | 67 | 2 | 1 | Laboratory Technician | 1 | Divorced | 4066 | 16290 | 1 | Y | No | 11 | 3 | 1 | 80 | 2 | 7 | 3 | 3 | 7 | 7 | 0 | 7 |
| 1150 | 0 | 35 | Travel_Rarely | 819 | Research & Development | 18 | 5 | Life Sciences | 1 | 1621 | 2 | Male | 48 | 4 | 2 | Research Scientist | 1 | Married | 5208 | 26312 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 16 | 2 | 3 | 16 | 15 | 1 | 10 |
| 1151 | 0 | 28 | Travel_Rarely | 580 | Research & Development | 27 | 3 | Medical | 1 | 1622 | 2 | Female | 39 | 1 | 2 | Manufacturing Director | 1 | Divorced | 4877 | 20460 | 0 | Y | No | 21 | 4 | 2 | 80 | 1 | 6 | 5 | 2 | 5 | 3 | 0 | 0 |
| 1152 | 0 | 21 | Travel_Rarely | 546 | Research & Development | 5 | 1 | Medical | 1 | 1623 | 3 | Male | 97 | 3 | 1 | Research Scientist | 4 | Single | 3117 | 26009 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1153 | 1 | 18 | Travel_Frequently | 544 | Sales | 3 | 2 | Medical | 1 | 1624 | 2 | Female | 70 | 3 | 1 | Sales Representative | 4 | Single | 1569 | 18420 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 0 | 2 | 4 | 0 | 0 | 0 | 0 |
| 1154 | 0 | 47 | Travel_Rarely | 1176 | Human Resources | 26 | 4 | Life Sciences | 1 | 1625 | 4 | Female | 98 | 3 | 5 | Manager | 3 | Married | 19658 | 5220 | 3 | Y | No | 11 | 3 | 3 | 80 | 1 | 27 | 2 | 3 | 5 | 2 | 1 | 0 |
| 1155 | 0 | 39 | Travel_Rarely | 170 | Research & Development | 3 | 2 | Medical | 1 | 1627 | 3 | Male | 76 | 2 | 2 | Laboratory Technician | 3 | Divorced | 3069 | 10302 | 0 | Y | No | 15 | 3 | 4 | 80 | 1 | 11 | 3 | 3 | 10 | 8 | 0 | 7 |
| 1156 | 0 | 40 | Travel_Rarely | 884 | Research & Development | 15 | 3 | Life Sciences | 1 | 1628 | 1 | Female | 80 | 2 | 3 | Manufacturing Director | 3 | Married | 10435 | 25800 | 1 | Y | No | 13 | 3 | 4 | 80 | 2 | 18 | 2 | 3 | 18 | 15 | 14 | 12 |
| 1157 | 0 | 35 | Non-Travel | 208 | Research & Development | 8 | 4 | Life Sciences | 1 | 1630 | 3 | Female | 52 | 3 | 2 | Healthcare Representative | 3 | Married | 4148 | 12250 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 15 | 5 | 3 | 14 | 11 | 2 | 9 |
| 1158 | 0 | 37 | Travel_Rarely | 671 | Research & Development | 19 | 3 | Life Sciences | 1 | 1631 | 3 | Male | 85 | 3 | 2 | Manufacturing Director | 3 | Married | 5768 | 26493 | 3 | Y | No | 17 | 3 | 1 | 80 | 3 | 9 | 2 | 2 | 4 | 3 | 0 | 2 |
| 1159 | 0 | 39 | Travel_Frequently | 711 | Research & Development | 4 | 3 | Medical | 1 | 1633 | 1 | Female | 81 | 3 | 2 | Manufacturing Director | 3 | Single | 5042 | 3140 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 2 | 1 | 9 | 2 | 3 | 8 |
| 1160 | 0 | 45 | Travel_Rarely | 1329 | Research & Development | 2 | 2 | Other | 1 | 1635 | 4 | Female | 59 | 2 | 2 | Manufacturing Director | 4 | Divorced | 5770 | 5388 | 1 | Y | No | 19 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 10 | 7 | 3 | 9 |
| 1161 | 0 | 38 | Travel_Rarely | 397 | Research & Development | 2 | 2 | Medical | 1 | 1638 | 4 | Female | 54 | 2 | 3 | Manufacturing Director | 3 | Married | 7756 | 14199 | 3 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 10 | 6 | 4 | 5 | 4 | 0 | 2 |
| 1162 | 1 | 35 | Travel_Rarely | 737 | Sales | 10 | 3 | Medical | 1 | 1639 | 4 | Male | 55 | 2 | 3 | Sales Executive | 1 | Married | 10306 | 21530 | 9 | Y | No | 17 | 3 | 3 | 80 | 0 | 15 | 3 | 3 | 13 | 12 | 6 | 0 |
| 1163 | 0 | 37 | Travel_Rarely | 1470 | Research & Development | 10 | 3 | Medical | 1 | 1640 | 2 | Female | 71 | 3 | 1 | Research Scientist | 2 | Married | 3936 | 9953 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 8 | 2 | 1 | 8 | 4 | 7 | 7 |
| 1164 | 0 | 40 | Travel_Rarely | 448 | Research & Development | 16 | 3 | Life Sciences | 1 | 1641 | 3 | Female | 84 | 3 | 3 | Manufacturing Director | 4 | Single | 7945 | 19948 | 6 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 18 | 2 | 2 | 4 | 2 | 3 | 3 |
| 1165 | 0 | 44 | Travel_Frequently | 602 | Human Resources | 1 | 5 | Human Resources | 1 | 1642 | 1 | Male | 37 | 3 | 2 | Human Resources | 4 | Married | 5743 | 10503 | 4 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 14 | 3 | 3 | 10 | 7 | 0 | 2 |
| 1166 | 0 | 48 | Travel_Frequently | 365 | Research & Development | 4 | 5 | Medical | 1 | 1644 | 3 | Male | 89 | 2 | 4 | Manager | 4 | Married | 15202 | 5602 | 2 | Y | No | 25 | 4 | 2 | 80 | 1 | 23 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1167 | 1 | 35 | Travel_Rarely | 763 | Sales | 15 | 2 | Medical | 1 | 1645 | 1 | Male | 59 | 1 | 2 | Sales Executive | 4 | Divorced | 5440 | 22098 | 6 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 7 | 2 | 2 | 2 | 2 | 2 | 2 |
| 1168 | 0 | 24 | Travel_Frequently | 567 | Research & Development | 2 | 1 | Technical Degree | 1 | 1646 | 1 | Female | 32 | 3 | 1 | Research Scientist | 4 | Single | 3760 | 17218 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 6 | 3 | 1 | 3 |
| 1169 | 0 | 27 | Travel_Rarely | 486 | Research & Development | 8 | 3 | Medical | 1 | 1647 | 2 | Female | 86 | 4 | 1 | Research Scientist | 3 | Married | 3517 | 22490 | 7 | Y | No | 17 | 3 | 1 | 80 | 0 | 5 | 0 | 3 | 3 | 2 | 0 | 2 |
| 1170 | 0 | 27 | Travel_Frequently | 591 | Research & Development | 2 | 3 | Medical | 1 | 1648 | 4 | Male | 87 | 3 | 1 | Research Scientist | 4 | Single | 2580 | 6297 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 0 | 2 | 4 | 2 | 1 | 2 |
| 1171 | 1 | 40 | Travel_Rarely | 1329 | Research & Development | 7 | 3 | Life Sciences | 1 | 1649 | 1 | Male | 73 | 3 | 1 | Laboratory Technician | 1 | Single | 2166 | 3339 | 3 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 10 | 3 | 1 | 4 | 2 | 0 | 3 |
| 1172 | 0 | 29 | Travel_Rarely | 469 | Sales | 10 | 3 | Medical | 1 | 1650 | 3 | Male | 42 | 2 | 2 | Sales Executive | 3 | Single | 5869 | 23413 | 9 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 5 | 2 | 1 | 4 |
| 1173 | 0 | 36 | Travel_Rarely | 711 | Research & Development | 5 | 4 | Life Sciences | 1 | 1651 | 2 | Female | 42 | 3 | 3 | Healthcare Representative | 1 | Married | 8008 | 22792 | 4 | Y | No | 12 | 3 | 3 | 80 | 2 | 9 | 6 | 3 | 3 | 2 | 0 | 2 |
| 1174 | 0 | 25 | Travel_Frequently | 772 | Research & Development | 2 | 1 | Life Sciences | 1 | 1653 | 4 | Male | 77 | 4 | 2 | Manufacturing Director | 3 | Divorced | 5206 | 4973 | 1 | Y | No | 17 | 3 | 3 | 80 | 2 | 7 | 6 | 3 | 7 | 7 | 0 | 7 |
| 1175 | 0 | 39 | Travel_Rarely | 492 | Research & Development | 12 | 3 | Medical | 1 | 1654 | 4 | Male | 66 | 3 | 2 | Manufacturing Director | 2 | Married | 5295 | 7693 | 4 | Y | No | 21 | 4 | 3 | 80 | 0 | 7 | 3 | 3 | 5 | 4 | 1 | 0 |
| 1176 | 0 | 49 | Travel_Rarely | 301 | Research & Development | 22 | 4 | Other | 1 | 1655 | 1 | Female | 72 | 3 | 4 | Research Director | 2 | Married | 16413 | 3498 | 3 | Y | No | 16 | 3 | 2 | 80 | 2 | 27 | 2 | 3 | 4 | 2 | 1 | 2 |
| 1177 | 0 | 50 | Travel_Rarely | 813 | Research & Development | 17 | 5 | Life Sciences | 1 | 1656 | 4 | Female | 50 | 2 | 3 | Research Director | 1 | Divorced | 13269 | 21981 | 5 | Y | No | 15 | 3 | 3 | 80 | 3 | 19 | 3 | 3 | 14 | 11 | 1 | 11 |
| 1178 | 0 | 20 | Travel_Rarely | 1141 | Sales | 2 | 3 | Medical | 1 | 1657 | 3 | Female | 31 | 3 | 1 | Sales Representative | 3 | Single | 2783 | 13251 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1179 | 0 | 34 | Travel_Rarely | 1130 | Research & Development | 3 | 3 | Life Sciences | 1 | 1658 | 4 | Female | 66 | 3 | 2 | Research Scientist | 2 | Divorced | 5433 | 19332 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 11 | 2 | 3 | 11 | 8 | 7 | 9 |
| 1180 | 0 | 36 | Travel_Rarely | 311 | Research & Development | 7 | 3 | Life Sciences | 1 | 1659 | 1 | Male | 77 | 3 | 1 | Laboratory Technician | 2 | Single | 2013 | 10950 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 4 | 3 | 4 | 3 | 1 | 3 |
| 1181 | 0 | 49 | Travel_Rarely | 465 | Research & Development | 6 | 1 | Life Sciences | 1 | 1661 | 3 | Female | 41 | 2 | 4 | Healthcare Representative | 3 | Married | 13966 | 11652 | 2 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 30 | 3 | 3 | 15 | 11 | 2 | 12 |
| 1182 | 0 | 36 | Non-Travel | 894 | Research & Development | 1 | 4 | Medical | 1 | 1662 | 4 | Female | 33 | 2 | 2 | Manufacturing Director | 3 | Married | 4374 | 15411 | 0 | Y | No | 15 | 3 | 3 | 80 | 0 | 4 | 6 | 3 | 3 | 2 | 1 | 2 |
| 1183 | 0 | 36 | Travel_Rarely | 1040 | Research & Development | 3 | 2 | Life Sciences | 1 | 1664 | 4 | Male | 79 | 4 | 2 | Healthcare Representative | 1 | Divorced | 6842 | 26308 | 6 | Y | No | 20 | 4 | 1 | 80 | 1 | 13 | 3 | 3 | 5 | 4 | 0 | 4 |
| 1184 | 0 | 54 | Travel_Rarely | 584 | Research & Development | 22 | 5 | Medical | 1 | 1665 | 2 | Female | 91 | 3 | 4 | Manager | 3 | Married | 17426 | 18685 | 3 | Y | No | 25 | 4 | 3 | 80 | 1 | 36 | 6 | 3 | 10 | 8 | 4 | 7 |
| 1185 | 0 | 43 | Travel_Rarely | 1291 | Research & Development | 15 | 2 | Life Sciences | 1 | 1666 | 3 | Male | 65 | 2 | 4 | Research Director | 3 | Married | 17603 | 3525 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 14 | 3 | 3 | 14 | 10 | 6 | 11 |
| 1186 | 1 | 35 | Travel_Frequently | 880 | Sales | 12 | 4 | Other | 1 | 1667 | 4 | Male | 36 | 3 | 2 | Sales Executive | 4 | Single | 4581 | 10414 | 3 | Y | Yes | 24 | 4 | 1 | 80 | 0 | 13 | 2 | 4 | 11 | 9 | 6 | 7 |
| 1187 | 0 | 38 | Travel_Frequently | 1189 | Research & Development | 1 | 3 | Life Sciences | 1 | 1668 | 4 | Male | 90 | 3 | 2 | Research Scientist | 4 | Married | 4735 | 9867 | 7 | Y | No | 15 | 3 | 4 | 80 | 2 | 19 | 4 | 4 | 13 | 11 | 2 | 9 |
| 1188 | 0 | 29 | Travel_Rarely | 991 | Sales | 5 | 3 | Medical | 1 | 1669 | 1 | Male | 43 | 2 | 2 | Sales Executive | 2 | Divorced | 4187 | 3356 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 10 | 0 | 0 | 9 |
| 1189 | 0 | 33 | Travel_Rarely | 392 | Sales | 2 | 4 | Medical | 1 | 1670 | 4 | Male | 93 | 3 | 2 | Sales Executive | 4 | Divorced | 5505 | 3921 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 6 | 5 | 3 | 6 | 2 | 0 | 4 |
| 1190 | 0 | 32 | Travel_Rarely | 977 | Research & Development | 2 | 3 | Medical | 1 | 1671 | 4 | Male | 45 | 3 | 2 | Research Scientist | 2 | Divorced | 5470 | 25518 | 0 | Y | No | 13 | 3 | 3 | 80 | 2 | 10 | 4 | 2 | 9 | 5 | 1 | 6 |
| 1191 | 0 | 31 | Travel_Rarely | 1112 | Sales | 5 | 4 | Life Sciences | 1 | 1673 | 1 | Female | 67 | 3 | 2 | Sales Executive | 4 | Married | 5476 | 22589 | 1 | Y | No | 11 | 3 | 1 | 80 | 2 | 10 | 2 | 3 | 10 | 0 | 0 | 2 |
| 1192 | 0 | 49 | Travel_Rarely | 464 | Research & Development | 16 | 3 | Medical | 1 | 1674 | 4 | Female | 74 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2587 | 24941 | 4 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 17 | 2 | 2 | 2 | 2 | 2 | 2 |
| 1193 | 0 | 38 | Travel_Frequently | 148 | Research & Development | 2 | 3 | Medical | 1 | 1675 | 4 | Female | 42 | 2 | 1 | Laboratory Technician | 2 | Single | 2440 | 23826 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 4 | 3 | 3 | 4 | 3 | 3 | 3 |
| 1194 | 0 | 47 | Travel_Rarely | 1225 | Sales | 2 | 4 | Life Sciences | 1 | 1676 | 2 | Female | 47 | 4 | 4 | Manager | 2 | Divorced | 15972 | 21086 | 6 | Y | No | 14 | 3 | 3 | 80 | 3 | 29 | 2 | 3 | 3 | 2 | 1 | 2 |
| 1195 | 0 | 49 | Travel_Rarely | 809 | Research & Development | 1 | 3 | Life Sciences | 1 | 1677 | 3 | Male | 36 | 3 | 4 | Manager | 3 | Single | 15379 | 22384 | 4 | Y | No | 14 | 3 | 1 | 80 | 0 | 23 | 2 | 3 | 8 | 7 | 0 | 0 |
| 1196 | 0 | 41 | Travel_Rarely | 1206 | Sales | 23 | 2 | Life Sciences | 1 | 1678 | 4 | Male | 80 | 3 | 3 | Sales Executive | 3 | Single | 7082 | 11591 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 2 | 0 | 0 | 2 |
| 1197 | 0 | 20 | Travel_Rarely | 727 | Sales | 9 | 1 | Life Sciences | 1 | 1680 | 4 | Male | 54 | 3 | 1 | Sales Representative | 1 | Single | 2728 | 21082 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 |
| 1198 | 0 | 33 | Non-Travel | 530 | Sales | 16 | 3 | Life Sciences | 1 | 1681 | 3 | Female | 36 | 3 | 2 | Sales Executive | 4 | Divorced | 5368 | 16130 | 1 | Y | Yes | 25 | 4 | 3 | 80 | 1 | 7 | 2 | 3 | 6 | 5 | 1 | 2 |
| 1199 | 0 | 36 | Travel_Rarely | 1351 | Research & Development | 26 | 4 | Life Sciences | 1 | 1682 | 1 | Male | 80 | 3 | 2 | Healthcare Representative | 3 | Married | 5347 | 7419 | 6 | Y | No | 14 | 3 | 2 | 80 | 2 | 10 | 2 | 2 | 3 | 2 | 0 | 2 |
| 1200 | 0 | 44 | Travel_Rarely | 528 | Human Resources | 1 | 3 | Life Sciences | 1 | 1683 | 3 | Female | 44 | 3 | 1 | Human Resources | 4 | Divorced | 3195 | 4167 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 3 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1201 | 1 | 23 | Travel_Rarely | 1320 | Research & Development | 8 | 1 | Medical | 1 | 1684 | 4 | Male | 93 | 2 | 1 | Laboratory Technician | 3 | Single | 3989 | 20586 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 5 | 2 | 3 | 5 | 4 | 1 | 2 |
| 1202 | 0 | 38 | Travel_Rarely | 1495 | Research & Development | 4 | 2 | Medical | 1 | 1687 | 4 | Female | 87 | 3 | 1 | Laboratory Technician | 3 | Married | 3306 | 26176 | 7 | Y | No | 19 | 3 | 4 | 80 | 1 | 7 | 5 | 2 | 0 | 0 | 0 | 0 |
| 1203 | 0 | 53 | Travel_Rarely | 1395 | Research & Development | 24 | 4 | Medical | 1 | 1689 | 2 | Male | 48 | 4 | 3 | Healthcare Representative | 4 | Married | 7005 | 3458 | 3 | Y | No | 15 | 3 | 3 | 80 | 0 | 11 | 2 | 3 | 4 | 3 | 1 | 2 |
| 1204 | 1 | 48 | Travel_Frequently | 708 | Sales | 7 | 2 | Medical | 1 | 1691 | 4 | Female | 95 | 3 | 1 | Sales Representative | 3 | Married | 2655 | 11740 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 2 | 19 | 3 | 3 | 9 | 7 | 7 | 7 |
| 1205 | 1 | 32 | Travel_Rarely | 1259 | Research & Development | 2 | 4 | Life Sciences | 1 | 1692 | 4 | Male | 95 | 3 | 1 | Laboratory Technician | 2 | Single | 1393 | 24852 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1206 | 0 | 26 | Non-Travel | 786 | Research & Development | 7 | 3 | Medical | 1 | 1693 | 4 | Male | 76 | 3 | 1 | Laboratory Technician | 4 | Single | 2570 | 11925 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 7 | 5 | 3 | 7 | 7 | 5 | 7 |
| 1207 | 0 | 55 | Travel_Rarely | 1441 | Research & Development | 22 | 3 | Technical Degree | 1 | 1694 | 1 | Male | 94 | 2 | 1 | Research Scientist | 2 | Divorced | 3537 | 23737 | 5 | Y | No | 12 | 3 | 4 | 80 | 1 | 8 | 1 | 3 | 4 | 2 | 1 | 2 |
| 1208 | 0 | 34 | Travel_Rarely | 1157 | Research & Development | 5 | 2 | Medical | 1 | 1696 | 2 | Male | 57 | 2 | 2 | Laboratory Technician | 4 | Married | 3986 | 11912 | 1 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 3 | 4 | 15 | 10 | 4 | 13 |
| 1209 | 0 | 60 | Travel_Rarely | 370 | Research & Development | 1 | 4 | Medical | 1 | 1697 | 3 | Male | 92 | 1 | 3 | Healthcare Representative | 4 | Divorced | 10883 | 20467 | 3 | Y | No | 20 | 4 | 3 | 80 | 1 | 19 | 2 | 4 | 1 | 0 | 0 | 0 |
| 1210 | 0 | 33 | Travel_Rarely | 267 | Research & Development | 21 | 3 | Medical | 1 | 1698 | 2 | Male | 79 | 4 | 1 | Laboratory Technician | 2 | Married | 2028 | 13637 | 1 | Y | No | 18 | 3 | 4 | 80 | 3 | 14 | 6 | 3 | 14 | 11 | 2 | 13 |
| 1211 | 0 | 37 | Travel_Frequently | 1278 | Sales | 1 | 4 | Medical | 1 | 1700 | 3 | Male | 31 | 1 | 2 | Sales Executive | 4 | Divorced | 9525 | 7677 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 6 | 2 | 2 | 6 | 3 | 1 | 3 |
| 1212 | 0 | 34 | Travel_Rarely | 678 | Research & Development | 19 | 3 | Life Sciences | 1 | 1701 | 2 | Female | 35 | 2 | 1 | Research Scientist | 4 | Married | 2929 | 20338 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 8 | 7 |
| 1213 | 1 | 23 | Travel_Rarely | 427 | Sales | 7 | 3 | Life Sciences | 1 | 1702 | 3 | Male | 99 | 3 | 1 | Sales Representative | 4 | Divorced | 2275 | 25103 | 1 | Y | Yes | 21 | 4 | 2 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 0 | 2 |
| 1214 | 0 | 44 | Travel_Rarely | 921 | Research & Development | 2 | 3 | Life Sciences | 1 | 1703 | 3 | Female | 96 | 4 | 3 | Healthcare Representative | 4 | Married | 7879 | 14810 | 1 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 9 | 2 | 3 | 8 | 7 | 6 | 7 |
| 1215 | 0 | 35 | Travel_Frequently | 146 | Research & Development | 2 | 4 | Medical | 1 | 1704 | 1 | Male | 79 | 2 | 1 | Research Scientist | 4 | Single | 4930 | 13970 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 6 | 2 | 4 | 5 | 4 | 1 | 4 |
| 1216 | 0 | 43 | Travel_Rarely | 1179 | Sales | 2 | 3 | Medical | 1 | 1706 | 4 | Male | 73 | 3 | 2 | Sales Executive | 4 | Married | 7847 | 6069 | 1 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 9 | 8 | 8 |
| 1217 | 0 | 24 | Travel_Rarely | 581 | Research & Development | 9 | 3 | Medical | 1 | 1707 | 3 | Male | 62 | 4 | 1 | Research Scientist | 3 | Married | 4401 | 17616 | 1 | Y | No | 16 | 3 | 4 | 80 | 1 | 5 | 1 | 3 | 5 | 3 | 0 | 4 |
| 1218 | 0 | 41 | Travel_Rarely | 918 | Sales | 6 | 3 | Marketing | 1 | 1708 | 4 | Male | 35 | 3 | 3 | Sales Executive | 3 | Single | 9241 | 15869 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 3 | 3 | 10 | 8 | 8 | 7 |
| 1219 | 0 | 29 | Travel_Rarely | 1082 | Research & Development | 9 | 4 | Medical | 1 | 1709 | 4 | Female | 43 | 3 | 1 | Laboratory Technician | 3 | Married | 2974 | 25412 | 9 | Y | No | 17 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 5 | 3 | 1 | 2 |
| 1220 | 0 | 36 | Travel_Rarely | 530 | Sales | 2 | 4 | Life Sciences | 1 | 1710 | 3 | Female | 51 | 3 | 2 | Sales Representative | 4 | Single | 4502 | 7439 | 3 | Y | No | 15 | 3 | 3 | 80 | 0 | 17 | 2 | 2 | 13 | 7 | 6 | 7 |
| 1221 | 0 | 45 | Non-Travel | 1238 | Research & Development | 1 | 1 | Life Sciences | 1 | 1712 | 3 | Male | 74 | 2 | 3 | Healthcare Representative | 3 | Married | 10748 | 3395 | 3 | Y | No | 23 | 4 | 4 | 80 | 1 | 25 | 3 | 2 | 23 | 15 | 14 | 4 |
| 1222 | 1 | 24 | Travel_Rarely | 240 | Human Resources | 22 | 1 | Human Resources | 1 | 1714 | 4 | Male | 58 | 1 | 1 | Human Resources | 3 | Married | 1555 | 11585 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1223 | 1 | 47 | Travel_Frequently | 1093 | Sales | 9 | 3 | Life Sciences | 1 | 1716 | 3 | Male | 82 | 1 | 4 | Sales Executive | 3 | Married | 12936 | 24164 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 25 | 3 | 1 | 23 | 5 | 14 | 10 |
| 1224 | 0 | 26 | Travel_Rarely | 390 | Research & Development | 17 | 4 | Medical | 1 | 1718 | 4 | Male | 62 | 1 | 1 | Laboratory Technician | 3 | Married | 2305 | 6217 | 1 | Y | No | 15 | 3 | 3 | 80 | 3 | 3 | 3 | 4 | 3 | 2 | 0 | 2 |
| 1225 | 0 | 45 | Travel_Rarely | 1005 | Research & Development | 28 | 2 | Technical Degree | 1 | 1719 | 4 | Female | 48 | 2 | 4 | Research Director | 2 | Single | 16704 | 17119 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 21 | 2 | 3 | 21 | 6 | 8 | 6 |
| 1226 | 0 | 32 | Travel_Frequently | 585 | Research & Development | 10 | 3 | Life Sciences | 1 | 1720 | 1 | Male | 56 | 3 | 1 | Research Scientist | 3 | Married | 3433 | 17360 | 6 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 5 | 2 | 1 | 3 |
| 1227 | 0 | 31 | Travel_Rarely | 741 | Research & Development | 2 | 4 | Life Sciences | 1 | 1721 | 2 | Male | 69 | 3 | 1 | Laboratory Technician | 3 | Married | 3477 | 18103 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 6 | 2 | 4 | 5 | 2 | 0 | 3 |
| 1228 | 0 | 41 | Non-Travel | 552 | Human Resources | 4 | 3 | Human Resources | 1 | 1722 | 3 | Male | 60 | 1 | 2 | Human Resources | 2 | Married | 6430 | 20794 | 6 | Y | No | 19 | 3 | 2 | 80 | 1 | 10 | 4 | 3 | 3 | 2 | 1 | 2 |
| 1229 | 0 | 40 | Travel_Rarely | 369 | Research & Development | 8 | 2 | Life Sciences | 1 | 1724 | 2 | Female | 92 | 3 | 2 | Manufacturing Director | 1 | Married | 6516 | 5041 | 2 | Y | Yes | 16 | 3 | 2 | 80 | 1 | 18 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1230 | 0 | 24 | Travel_Rarely | 506 | Research & Development | 29 | 1 | Medical | 1 | 1725 | 2 | Male | 91 | 3 | 1 | Laboratory Technician | 1 | Divorced | 3907 | 3622 | 1 | Y | No | 13 | 3 | 2 | 80 | 3 | 6 | 2 | 4 | 6 | 2 | 1 | 2 |
| 1231 | 0 | 46 | Travel_Rarely | 717 | Research & Development | 13 | 4 | Life Sciences | 1 | 1727 | 3 | Male | 34 | 3 | 2 | Healthcare Representative | 2 | Single | 5562 | 9697 | 6 | Y | No | 14 | 3 | 4 | 80 | 0 | 19 | 3 | 3 | 10 | 7 | 0 | 9 |
| 1232 | 0 | 35 | Travel_Rarely | 1370 | Research & Development | 27 | 4 | Life Sciences | 1 | 1728 | 4 | Male | 49 | 3 | 2 | Manufacturing Director | 3 | Married | 6883 | 5151 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 17 | 3 | 3 | 7 | 7 | 0 | 7 |
| 1233 | 0 | 30 | Travel_Rarely | 793 | Research & Development | 16 | 1 | Life Sciences | 1 | 1729 | 2 | Male | 33 | 3 | 1 | Research Scientist | 4 | Married | 2862 | 3811 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 2 | 2 | 10 | 0 | 0 | 8 |
| 1234 | 0 | 47 | Non-Travel | 543 | Sales | 2 | 4 | Marketing | 1 | 1731 | 3 | Male | 87 | 3 | 2 | Sales Executive | 2 | Married | 4978 | 3536 | 7 | Y | No | 11 | 3 | 4 | 80 | 1 | 4 | 3 | 1 | 1 | 0 | 0 | 0 |
| 1235 | 0 | 46 | Travel_Rarely | 1277 | Sales | 2 | 3 | Life Sciences | 1 | 1732 | 3 | Male | 74 | 3 | 3 | Sales Executive | 4 | Divorced | 10368 | 5596 | 4 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 13 | 5 | 2 | 10 | 6 | 0 | 3 |
| 1236 | 1 | 36 | Travel_Rarely | 1456 | Sales | 13 | 5 | Marketing | 1 | 1733 | 2 | Male | 96 | 2 | 2 | Sales Executive | 1 | Divorced | 6134 | 8658 | 5 | Y | Yes | 13 | 3 | 2 | 80 | 3 | 16 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1237 | 1 | 32 | Travel_Rarely | 964 | Sales | 1 | 2 | Life Sciences | 1 | 1734 | 1 | Male | 34 | 1 | 2 | Sales Executive | 2 | Single | 6735 | 12147 | 6 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 0 | 0 | 0 | 0 |
| 1238 | 0 | 23 | Travel_Rarely | 160 | Research & Development | 4 | 1 | Medical | 1 | 1735 | 3 | Female | 51 | 3 | 1 | Laboratory Technician | 2 | Single | 3295 | 12862 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 3 | 3 | 1 | 3 | 2 | 1 | 2 |
| 1239 | 0 | 31 | Travel_Frequently | 163 | Research & Development | 24 | 1 | Technical Degree | 1 | 1736 | 4 | Female | 30 | 3 | 2 | Manufacturing Director | 4 | Single | 5238 | 6670 | 2 | Y | No | 20 | 4 | 4 | 80 | 0 | 9 | 3 | 2 | 5 | 4 | 1 | 4 |
| 1240 | 0 | 39 | Non-Travel | 792 | Research & Development | 1 | 3 | Life Sciences | 1 | 1737 | 4 | Male | 77 | 3 | 2 | Laboratory Technician | 4 | Married | 6472 | 8989 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 9 | 2 | 3 | 9 | 8 | 5 | 8 |
| 1241 | 0 | 32 | Travel_Rarely | 371 | Sales | 19 | 3 | Life Sciences | 1 | 1739 | 4 | Male | 80 | 1 | 3 | Sales Executive | 3 | Married | 9610 | 3840 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 10 | 2 | 1 | 4 | 3 | 0 | 2 |
| 1242 | 0 | 40 | Travel_Rarely | 611 | Sales | 7 | 4 | Medical | 1 | 1740 | 2 | Male | 88 | 3 | 5 | Manager | 2 | Single | 19833 | 4349 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 21 | 3 | 2 | 21 | 8 | 12 | 8 |
| 1243 | 0 | 45 | Travel_Rarely | 176 | Human Resources | 4 | 3 | Life Sciences | 1 | 1744 | 3 | Female | 56 | 1 | 3 | Human Resources | 3 | Married | 9756 | 6595 | 4 | Y | No | 21 | 4 | 3 | 80 | 2 | 9 | 2 | 4 | 5 | 0 | 0 | 3 |
| 1244 | 0 | 30 | Travel_Frequently | 1312 | Research & Development | 2 | 4 | Technical Degree | 1 | 1745 | 4 | Female | 78 | 2 | 1 | Research Scientist | 1 | Single | 4968 | 26427 | 0 | Y | No | 16 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 9 | 7 | 0 | 7 |
| 1245 | 0 | 24 | Travel_Frequently | 897 | Human Resources | 10 | 3 | Medical | 1 | 1746 | 1 | Male | 59 | 3 | 1 | Human Resources | 4 | Married | 2145 | 2097 | 0 | Y | No | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 2 | 1 |
| 1246 | 1 | 30 | Travel_Frequently | 600 | Human Resources | 8 | 3 | Human Resources | 1 | 1747 | 3 | Female | 66 | 2 | 1 | Human Resources | 4 | Divorced | 2180 | 9732 | 6 | Y | No | 11 | 3 | 3 | 80 | 1 | 6 | 0 | 2 | 4 | 2 | 1 | 2 |
| 1247 | 0 | 31 | Travel_Rarely | 1003 | Sales | 5 | 3 | Technical Degree | 1 | 1749 | 1 | Male | 51 | 3 | 2 | Sales Executive | 3 | Married | 8346 | 20943 | 1 | Y | No | 19 | 3 | 3 | 80 | 1 | 6 | 3 | 3 | 5 | 2 | 0 | 2 |
| 1248 | 0 | 27 | Travel_Rarely | 1054 | Research & Development | 8 | 3 | Medical | 1 | 1751 | 3 | Female | 67 | 3 | 1 | Research Scientist | 4 | Single | 3445 | 6152 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 6 | 5 | 2 | 6 | 2 | 1 | 4 |
| 1249 | 1 | 29 | Travel_Rarely | 428 | Sales | 9 | 3 | Marketing | 1 | 1752 | 2 | Female | 52 | 1 | 1 | Sales Representative | 2 | Single | 2760 | 14630 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1250 | 0 | 29 | Travel_Frequently | 461 | Research & Development | 1 | 3 | Life Sciences | 1 | 1753 | 4 | Male | 70 | 4 | 2 | Healthcare Representative | 3 | Single | 6294 | 23060 | 8 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 10 | 5 | 4 | 3 | 2 | 0 | 2 |
| 1251 | 0 | 30 | Travel_Rarely | 979 | Sales | 15 | 2 | Marketing | 1 | 1754 | 3 | Male | 94 | 2 | 3 | Sales Executive | 1 | Divorced | 7140 | 3088 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 12 | 2 | 3 | 7 | 7 | 1 | 7 |
| 1252 | 0 | 34 | Travel_Rarely | 181 | Research & Development | 2 | 4 | Medical | 1 | 1755 | 4 | Male | 97 | 4 | 1 | Research Scientist | 4 | Married | 2932 | 5586 | 0 | Y | Yes | 14 | 3 | 1 | 80 | 3 | 6 | 3 | 3 | 5 | 0 | 1 | 2 |
| 1253 | 0 | 33 | Non-Travel | 1283 | Sales | 2 | 3 | Marketing | 1 | 1756 | 4 | Female | 62 | 3 | 2 | Sales Executive | 2 | Single | 5147 | 10697 | 8 | Y | No | 15 | 3 | 4 | 80 | 0 | 13 | 2 | 2 | 11 | 7 | 1 | 7 |
| 1254 | 0 | 49 | Travel_Rarely | 1313 | Sales | 11 | 4 | Marketing | 1 | 1757 | 4 | Female | 80 | 3 | 2 | Sales Executive | 4 | Single | 4507 | 8191 | 3 | Y | No | 12 | 3 | 3 | 80 | 0 | 8 | 1 | 4 | 5 | 1 | 0 | 4 |
| 1255 | 1 | 33 | Travel_Rarely | 211 | Sales | 16 | 3 | Life Sciences | 1 | 1758 | 1 | Female | 74 | 3 | 3 | Sales Executive | 1 | Single | 8564 | 10092 | 2 | Y | Yes | 20 | 4 | 3 | 80 | 0 | 11 | 2 | 2 | 0 | 0 | 0 | 0 |
| 1256 | 0 | 38 | Travel_Frequently | 594 | Research & Development | 2 | 2 | Medical | 1 | 1760 | 3 | Female | 75 | 2 | 1 | Laboratory Technician | 2 | Married | 2468 | 15963 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 4 | 2 | 6 | 1 | 0 | 5 |
| 1257 | 1 | 31 | Travel_Rarely | 1079 | Sales | 16 | 4 | Marketing | 1 | 1761 | 1 | Male | 70 | 3 | 3 | Sales Executive | 3 | Married | 8161 | 19002 | 2 | Y | No | 13 | 3 | 1 | 80 | 3 | 10 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1258 | 0 | 29 | Travel_Rarely | 590 | Research & Development | 4 | 3 | Technical Degree | 1 | 1762 | 4 | Female | 91 | 2 | 1 | Research Scientist | 1 | Divorced | 2109 | 10007 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1259 | 0 | 30 | Travel_Rarely | 305 | Research & Development | 16 | 3 | Life Sciences | 1 | 1763 | 3 | Male | 58 | 4 | 2 | Healthcare Representative | 3 | Married | 5294 | 9128 | 3 | Y | No | 16 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 7 | 0 | 1 | 7 |
| 1260 | 0 | 32 | Non-Travel | 953 | Research & Development | 5 | 4 | Technical Degree | 1 | 1764 | 2 | Male | 65 | 3 | 1 | Research Scientist | 2 | Single | 2718 | 17674 | 2 | Y | No | 14 | 3 | 2 | 80 | 0 | 12 | 3 | 3 | 7 | 7 | 0 | 7 |
| 1261 | 0 | 38 | Travel_Rarely | 833 | Research & Development | 18 | 3 | Medical | 1 | 1766 | 2 | Male | 60 | 1 | 2 | Healthcare Representative | 4 | Married | 5811 | 24539 | 3 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 15 | 2 | 3 | 1 | 0 | 1 | 0 |
| 1262 | 1 | 43 | Travel_Frequently | 807 | Research & Development | 17 | 3 | Technical Degree | 1 | 1767 | 3 | Male | 38 | 2 | 1 | Research Scientist | 3 | Married | 2437 | 15587 | 9 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 4 | 3 | 1 | 0 | 0 | 0 |
| 1263 | 0 | 42 | Travel_Rarely | 855 | Research & Development | 12 | 3 | Medical | 1 | 1768 | 2 | Male | 57 | 3 | 1 | Laboratory Technician | 2 | Divorced | 2766 | 8952 | 8 | Y | No | 22 | 4 | 2 | 80 | 3 | 7 | 6 | 2 | 5 | 3 | 0 | 4 |
| 1264 | 0 | 55 | Travel_Rarely | 478 | Research & Development | 2 | 3 | Medical | 1 | 1770 | 3 | Male | 60 | 2 | 5 | Research Director | 1 | Married | 19038 | 19805 | 8 | Y | No | 12 | 3 | 2 | 80 | 3 | 34 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1265 | 0 | 33 | Non-Travel | 775 | Research & Development | 4 | 3 | Technical Degree | 1 | 1771 | 4 | Male | 90 | 3 | 2 | Research Scientist | 2 | Divorced | 3055 | 6194 | 5 | Y | No | 15 | 3 | 4 | 80 | 2 | 11 | 2 | 2 | 9 | 8 | 1 | 7 |
| 1266 | 0 | 41 | Travel_Rarely | 548 | Research & Development | 9 | 4 | Life Sciences | 1 | 1772 | 3 | Male | 94 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2289 | 20520 | 1 | Y | No | 20 | 4 | 2 | 80 | 2 | 5 | 2 | 3 | 5 | 3 | 0 | 4 |
| 1267 | 0 | 34 | Non-Travel | 1375 | Sales | 10 | 3 | Life Sciences | 1 | 1774 | 4 | Male | 87 | 3 | 2 | Sales Executive | 3 | Divorced | 4001 | 12313 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 15 | 3 | 3 | 15 | 14 | 0 | 7 |
| 1268 | 0 | 53 | Non-Travel | 661 | Research & Development | 1 | 4 | Medical | 1 | 1775 | 1 | Female | 60 | 2 | 4 | Manufacturing Director | 3 | Married | 12965 | 22308 | 4 | Y | Yes | 20 | 4 | 4 | 80 | 3 | 27 | 2 | 2 | 3 | 2 | 0 | 2 |
| 1269 | 0 | 43 | Travel_Rarely | 244 | Human Resources | 2 | 3 | Life Sciences | 1 | 1778 | 2 | Male | 97 | 3 | 1 | Human Resources | 4 | Single | 3539 | 5033 | 0 | Y | No | 13 | 3 | 2 | 80 | 0 | 10 | 5 | 3 | 9 | 7 | 1 | 8 |
| 1270 | 0 | 34 | Travel_Rarely | 511 | Sales | 3 | 2 | Life Sciences | 1 | 1779 | 4 | Female | 32 | 1 | 2 | Sales Executive | 4 | Single | 6029 | 25353 | 5 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1271 | 1 | 21 | Travel_Rarely | 337 | Sales | 7 | 1 | Marketing | 1 | 1780 | 2 | Male | 31 | 3 | 1 | Sales Representative | 2 | Single | 2679 | 4567 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 1 | 0 |
| 1272 | 0 | 38 | Travel_Rarely | 1153 | Research & Development | 6 | 2 | Other | 1 | 1782 | 4 | Female | 40 | 2 | 1 | Laboratory Technician | 3 | Married | 3702 | 16376 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 5 | 4 | 0 | 4 |
| 1273 | 1 | 22 | Travel_Rarely | 1294 | Research & Development | 8 | 1 | Medical | 1 | 1783 | 3 | Female | 79 | 3 | 1 | Laboratory Technician | 1 | Married | 2398 | 15999 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 1 | 6 | 3 | 1 | 0 | 0 | 0 |
| 1274 | 0 | 31 | Travel_Rarely | 196 | Sales | 29 | 4 | Marketing | 1 | 1784 | 1 | Female | 91 | 2 | 2 | Sales Executive | 4 | Married | 5468 | 13402 | 1 | Y | No | 14 | 3 | 1 | 80 | 2 | 13 | 3 | 3 | 12 | 7 | 5 | 7 |
| 1275 | 0 | 51 | Travel_Rarely | 942 | Research & Development | 3 | 3 | Technical Degree | 1 | 1786 | 1 | Female | 53 | 3 | 3 | Manager | 3 | Married | 13116 | 22984 | 2 | Y | No | 11 | 3 | 4 | 80 | 0 | 15 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1276 | 0 | 37 | Travel_Rarely | 589 | Sales | 9 | 2 | Marketing | 1 | 1787 | 2 | Male | 46 | 2 | 2 | Sales Executive | 2 | Married | 4189 | 8800 | 1 | Y | No | 14 | 3 | 1 | 80 | 2 | 5 | 2 | 3 | 5 | 2 | 0 | 3 |
| 1277 | 0 | 46 | Travel_Rarely | 734 | Research & Development | 2 | 4 | Medical | 1 | 1789 | 3 | Male | 46 | 3 | 5 | Research Director | 4 | Divorced | 19328 | 14218 | 7 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 24 | 3 | 3 | 2 | 1 | 2 | 2 |
| 1278 | 0 | 36 | Travel_Rarely | 1383 | Research & Development | 10 | 3 | Life Sciences | 1 | 1790 | 4 | Male | 90 | 3 | 3 | Healthcare Representative | 1 | Married | 8321 | 25949 | 7 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 15 | 1 | 3 | 12 | 8 | 5 | 7 |
| 1279 | 1 | 44 | Travel_Frequently | 429 | Research & Development | 1 | 2 | Medical | 1 | 1792 | 3 | Male | 99 | 3 | 1 | Research Scientist | 2 | Divorced | 2342 | 11092 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 6 | 2 | 2 | 5 | 3 | 2 | 3 |
| 1280 | 0 | 37 | Travel_Rarely | 1239 | Human Resources | 8 | 2 | Other | 1 | 1794 | 3 | Male | 89 | 3 | 2 | Human Resources | 2 | Divorced | 4071 | 12832 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 19 | 4 | 2 | 10 | 0 | 4 | 7 |
| 1281 | 1 | 35 | Travel_Rarely | 303 | Sales | 27 | 3 | Life Sciences | 1 | 1797 | 3 | Male | 84 | 3 | 2 | Sales Executive | 4 | Single | 5813 | 13492 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 7 | 7 | 7 |
| 1282 | 0 | 33 | Travel_Rarely | 867 | Research & Development | 8 | 4 | Life Sciences | 1 | 1798 | 4 | Male | 90 | 4 | 1 | Research Scientist | 1 | Married | 3143 | 6076 | 6 | Y | No | 19 | 3 | 2 | 80 | 1 | 14 | 1 | 3 | 10 | 8 | 7 | 6 |
| 1283 | 0 | 28 | Travel_Rarely | 1181 | Research & Development | 1 | 3 | Life Sciences | 1 | 1799 | 3 | Male | 82 | 3 | 1 | Research Scientist | 4 | Married | 2044 | 5531 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 6 | 4 | 5 | 3 | 0 | 3 |
| 1284 | 0 | 39 | Travel_Rarely | 1253 | Research & Development | 10 | 1 | Medical | 1 | 1800 | 3 | Male | 65 | 3 | 3 | Research Director | 3 | Single | 13464 | 7914 | 7 | Y | No | 21 | 4 | 3 | 80 | 0 | 9 | 3 | 3 | 4 | 3 | 2 | 2 |
| 1285 | 0 | 46 | Non-Travel | 849 | Sales | 26 | 2 | Life Sciences | 1 | 1801 | 2 | Male | 98 | 2 | 2 | Sales Executive | 2 | Single | 7991 | 25166 | 8 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1286 | 0 | 40 | Travel_Rarely | 616 | Research & Development | 2 | 2 | Life Sciences | 1 | 1802 | 3 | Female | 99 | 3 | 1 | Laboratory Technician | 1 | Married | 3377 | 25605 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 7 | 5 | 2 | 4 | 3 | 0 | 2 |
| 1287 | 0 | 42 | Travel_Rarely | 1128 | Research & Development | 13 | 3 | Medical | 1 | 1803 | 2 | Male | 95 | 4 | 2 | Healthcare Representative | 1 | Married | 5538 | 5696 | 5 | Y | No | 18 | 3 | 3 | 80 | 2 | 10 | 2 | 2 | 0 | 0 | 0 | 0 |
| 1288 | 0 | 35 | Non-Travel | 1180 | Research & Development | 2 | 2 | Medical | 1 | 1804 | 2 | Male | 90 | 3 | 2 | Manufacturing Director | 4 | Divorced | 5762 | 24442 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 6 | 3 | 7 | 7 | 1 | 7 |
| 1289 | 0 | 38 | Non-Travel | 1336 | Human Resources | 2 | 3 | Human Resources | 1 | 1805 | 1 | Male | 100 | 3 | 1 | Human Resources | 2 | Divorced | 2592 | 7129 | 5 | Y | No | 13 | 3 | 4 | 80 | 3 | 13 | 3 | 3 | 11 | 10 | 3 | 8 |
| 1290 | 1 | 34 | Travel_Frequently | 234 | Research & Development | 9 | 4 | Life Sciences | 1 | 1807 | 4 | Male | 93 | 3 | 2 | Laboratory Technician | 1 | Married | 5346 | 6208 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 11 | 3 | 2 | 7 | 1 | 0 | 7 |
| 1291 | 1 | 37 | Travel_Rarely | 370 | Research & Development | 10 | 4 | Medical | 1 | 1809 | 4 | Male | 58 | 3 | 2 | Manufacturing Director | 1 | Single | 4213 | 4992 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 4 | 1 | 10 | 3 | 0 | 8 |
| 1292 | 0 | 39 | Travel_Frequently | 766 | Sales | 20 | 3 | Life Sciences | 1 | 1812 | 3 | Male | 83 | 3 | 2 | Sales Executive | 4 | Divorced | 4127 | 19188 | 2 | Y | No | 18 | 3 | 4 | 80 | 1 | 7 | 6 | 3 | 2 | 1 | 2 | 2 |
| 1293 | 0 | 43 | Non-Travel | 343 | Research & Development | 9 | 3 | Life Sciences | 1 | 1813 | 1 | Male | 52 | 3 | 1 | Research Scientist | 3 | Single | 2438 | 24978 | 4 | Y | No | 13 | 3 | 3 | 80 | 0 | 7 | 2 | 2 | 3 | 2 | 1 | 2 |
| 1294 | 0 | 41 | Travel_Rarely | 447 | Research & Development | 5 | 3 | Life Sciences | 1 | 1814 | 2 | Male | 85 | 4 | 2 | Healthcare Representative | 2 | Single | 6870 | 15530 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 11 | 3 | 1 | 3 | 2 | 1 | 2 |
| 1295 | 0 | 41 | Travel_Rarely | 796 | Sales | 4 | 1 | Marketing | 1 | 1815 | 3 | Female | 81 | 3 | 3 | Sales Executive | 3 | Divorced | 10447 | 26458 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 23 | 3 | 4 | 22 | 14 | 13 | 5 |
| 1296 | 0 | 30 | Travel_Rarely | 1092 | Research & Development | 10 | 3 | Medical | 1 | 1816 | 1 | Female | 64 | 3 | 3 | Manufacturing Director | 3 | Single | 9667 | 2739 | 9 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 3 | 3 | 7 | 7 | 0 | 2 |
| 1297 | 1 | 26 | Travel_Rarely | 920 | Human Resources | 20 | 2 | Medical | 1 | 1818 | 4 | Female | 69 | 3 | 1 | Human Resources | 2 | Married | 2148 | 6889 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 1 | 1 | 4 |
| 1298 | 1 | 46 | Travel_Rarely | 261 | Research & Development | 21 | 2 | Medical | 1 | 1821 | 4 | Female | 66 | 3 | 2 | Healthcare Representative | 2 | Married | 8926 | 10842 | 4 | Y | No | 22 | 4 | 4 | 80 | 1 | 13 | 2 | 4 | 9 | 7 | 3 | 7 |
| 1299 | 0 | 40 | Travel_Rarely | 1194 | Research & Development | 1 | 3 | Life Sciences | 1 | 1822 | 3 | Female | 52 | 3 | 2 | Healthcare Representative | 4 | Divorced | 6513 | 9060 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 12 | 3 | 3 | 5 | 3 | 0 | 3 |
| 1300 | 0 | 34 | Travel_Rarely | 810 | Sales | 8 | 2 | Technical Degree | 1 | 1823 | 2 | Male | 92 | 4 | 2 | Sales Executive | 3 | Married | 6799 | 22128 | 1 | Y | No | 21 | 4 | 3 | 80 | 2 | 10 | 5 | 3 | 10 | 8 | 4 | 8 |
| 1301 | 0 | 58 | Non-Travel | 350 | Sales | 2 | 3 | Medical | 1 | 1824 | 2 | Male | 52 | 3 | 4 | Manager | 2 | Divorced | 16291 | 22577 | 4 | Y | No | 22 | 4 | 4 | 80 | 1 | 37 | 0 | 2 | 16 | 9 | 14 | 14 |
| 1302 | 0 | 35 | Travel_Rarely | 185 | Research & Development | 23 | 4 | Medical | 1 | 1826 | 2 | Male | 91 | 1 | 1 | Laboratory Technician | 3 | Married | 2705 | 9696 | 0 | Y | No | 16 | 3 | 2 | 80 | 1 | 6 | 2 | 4 | 5 | 4 | 0 | 3 |
| 1303 | 0 | 47 | Travel_Rarely | 1001 | Research & Development | 4 | 3 | Life Sciences | 1 | 1827 | 3 | Female | 92 | 2 | 3 | Manufacturing Director | 2 | Divorced | 10333 | 19271 | 8 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 28 | 4 | 3 | 22 | 11 | 14 | 10 |
| 1304 | 0 | 40 | Travel_Rarely | 750 | Research & Development | 12 | 3 | Life Sciences | 1 | 1829 | 2 | Female | 47 | 3 | 2 | Healthcare Representative | 1 | Divorced | 4448 | 10748 | 2 | Y | No | 12 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 7 | 4 | 7 | 7 |
| 1305 | 0 | 54 | Travel_Rarely | 431 | Research & Development | 7 | 4 | Medical | 1 | 1830 | 4 | Female | 68 | 3 | 2 | Research Scientist | 4 | Married | 6854 | 15696 | 4 | Y | No | 15 | 3 | 2 | 80 | 1 | 14 | 2 | 2 | 7 | 1 | 1 | 7 |
| 1306 | 0 | 31 | Travel_Frequently | 1125 | Sales | 7 | 4 | Marketing | 1 | 1833 | 1 | Female | 68 | 3 | 3 | Sales Executive | 1 | Married | 9637 | 8277 | 2 | Y | No | 14 | 3 | 4 | 80 | 2 | 9 | 3 | 3 | 3 | 2 | 2 | 2 |
| 1307 | 0 | 28 | Travel_Rarely | 1217 | Research & Development | 1 | 3 | Medical | 1 | 1834 | 3 | Female | 67 | 3 | 1 | Research Scientist | 1 | Married | 3591 | 12719 | 1 | Y | No | 25 | 4 | 3 | 80 | 1 | 3 | 3 | 3 | 3 | 2 | 1 | 2 |
| 1308 | 0 | 38 | Travel_Rarely | 723 | Sales | 2 | 4 | Marketing | 1 | 1835 | 2 | Female | 77 | 1 | 2 | Sales Representative | 4 | Married | 5405 | 4244 | 2 | Y | Yes | 20 | 4 | 1 | 80 | 2 | 20 | 4 | 2 | 4 | 2 | 0 | 3 |
| 1309 | 0 | 26 | Travel_Rarely | 572 | Sales | 10 | 3 | Medical | 1 | 1836 | 3 | Male | 46 | 3 | 2 | Sales Executive | 4 | Single | 4684 | 9125 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 5 | 4 | 3 | 5 | 3 | 1 | 2 |
| 1310 | 0 | 58 | Travel_Frequently | 1216 | Research & Development | 15 | 4 | Life Sciences | 1 | 1837 | 1 | Male | 87 | 3 | 4 | Research Director | 3 | Married | 15787 | 21624 | 2 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 23 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1311 | 0 | 18 | Non-Travel | 1431 | Research & Development | 14 | 3 | Medical | 1 | 1839 | 2 | Female | 33 | 3 | 1 | Research Scientist | 3 | Single | 1514 | 8018 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 0 | 4 | 1 | 0 | 0 | 0 | 0 |
| 1312 | 1 | 31 | Travel_Rarely | 359 | Human Resources | 18 | 5 | Human Resources | 1 | 1842 | 4 | Male | 89 | 4 | 1 | Human Resources | 1 | Married | 2956 | 21495 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 2 | 4 | 3 | 1 | 0 | 0 | 0 |
| 1313 | 1 | 29 | Travel_Rarely | 350 | Human Resources | 13 | 3 | Human Resources | 1 | 1844 | 1 | Male | 56 | 2 | 1 | Human Resources | 1 | Divorced | 2335 | 3157 | 4 | Y | Yes | 15 | 3 | 4 | 80 | 3 | 4 | 3 | 3 | 2 | 2 | 2 | 0 |
| 1314 | 0 | 45 | Non-Travel | 589 | Sales | 2 | 4 | Life Sciences | 1 | 1845 | 3 | Female | 67 | 3 | 2 | Sales Executive | 3 | Married | 5154 | 19665 | 4 | Y | No | 22 | 4 | 2 | 80 | 2 | 10 | 3 | 4 | 8 | 7 | 5 | 7 |
| 1315 | 0 | 36 | Travel_Rarely | 430 | Research & Development | 2 | 4 | Other | 1 | 1847 | 4 | Female | 73 | 3 | 2 | Research Scientist | 2 | Married | 6962 | 19573 | 4 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 15 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1316 | 0 | 43 | Travel_Frequently | 1422 | Sales | 2 | 4 | Life Sciences | 1 | 1849 | 1 | Male | 92 | 3 | 2 | Sales Executive | 4 | Married | 5675 | 19246 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 7 | 5 | 3 | 7 | 7 | 7 | 7 |
| 1317 | 0 | 27 | Travel_Frequently | 1297 | Research & Development | 5 | 2 | Life Sciences | 1 | 1850 | 4 | Female | 53 | 3 | 1 | Laboratory Technician | 4 | Single | 2379 | 19826 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 5 | 4 | 0 | 2 |
| 1318 | 0 | 29 | Travel_Frequently | 574 | Research & Development | 20 | 1 | Medical | 1 | 1852 | 4 | Male | 40 | 3 | 1 | Laboratory Technician | 4 | Married | 3812 | 7003 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 11 | 3 | 4 | 11 | 8 | 3 | 10 |
| 1319 | 0 | 32 | Travel_Frequently | 1318 | Sales | 10 | 4 | Marketing | 1 | 1853 | 4 | Male | 79 | 3 | 2 | Sales Executive | 4 | Single | 4648 | 26075 | 8 | Y | No | 13 | 3 | 3 | 80 | 0 | 4 | 2 | 4 | 0 | 0 | 0 | 0 |
| 1320 | 0 | 42 | Non-Travel | 355 | Research & Development | 10 | 4 | Technical Degree | 1 | 1854 | 3 | Male | 38 | 3 | 1 | Research Scientist | 3 | Married | 2936 | 6161 | 3 | Y | No | 22 | 4 | 2 | 80 | 2 | 10 | 1 | 2 | 6 | 3 | 3 | 3 |
| 1321 | 0 | 47 | Travel_Rarely | 207 | Research & Development | 9 | 4 | Life Sciences | 1 | 1856 | 2 | Female | 64 | 3 | 1 | Laboratory Technician | 3 | Single | 2105 | 5411 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 7 | 2 | 3 | 2 | 2 | 2 | 0 |
| 1322 | 0 | 46 | Travel_Rarely | 706 | Research & Development | 2 | 2 | Life Sciences | 1 | 1857 | 4 | Male | 82 | 3 | 3 | Manufacturing Director | 4 | Divorced | 8578 | 19989 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 12 | 4 | 2 | 9 | 8 | 4 | 7 |
| 1323 | 0 | 28 | Non-Travel | 280 | Human Resources | 1 | 2 | Life Sciences | 1 | 1858 | 3 | Male | 43 | 3 | 1 | Human Resources | 4 | Divorced | 2706 | 10494 | 1 | Y | No | 15 | 3 | 2 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 2 | 2 |
| 1324 | 0 | 29 | Travel_Rarely | 726 | Research & Development | 29 | 1 | Life Sciences | 1 | 1859 | 4 | Male | 93 | 1 | 2 | Healthcare Representative | 3 | Divorced | 6384 | 21143 | 8 | Y | No | 17 | 3 | 4 | 80 | 2 | 11 | 3 | 3 | 7 | 0 | 1 | 6 |
| 1325 | 0 | 42 | Travel_Rarely | 1142 | Research & Development | 8 | 3 | Life Sciences | 1 | 1860 | 4 | Male | 81 | 3 | 1 | Laboratory Technician | 3 | Single | 3968 | 13624 | 4 | Y | No | 13 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 0 | 0 | 0 | 0 |
| 1326 | 1 | 32 | Travel_Rarely | 414 | Sales | 2 | 4 | Marketing | 1 | 1862 | 3 | Male | 82 | 2 | 2 | Sales Executive | 2 | Single | 9907 | 26186 | 7 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 7 | 3 | 2 | 2 | 2 | 2 | 2 |
| 1327 | 0 | 46 | Travel_Rarely | 1319 | Sales | 3 | 3 | Technical Degree | 1 | 1863 | 1 | Female | 45 | 4 | 4 | Sales Executive | 1 | Divorced | 13225 | 7739 | 2 | Y | No | 12 | 3 | 4 | 80 | 1 | 25 | 5 | 3 | 19 | 17 | 2 | 8 |
| 1328 | 0 | 27 | Travel_Rarely | 728 | Sales | 23 | 1 | Medical | 1 | 1864 | 2 | Female | 36 | 2 | 2 | Sales Representative | 3 | Married | 3540 | 7018 | 1 | Y | No | 21 | 4 | 4 | 80 | 1 | 9 | 5 | 3 | 9 | 8 | 5 | 8 |
| 1329 | 0 | 29 | Travel_Rarely | 352 | Human Resources | 6 | 1 | Medical | 1 | 1865 | 4 | Male | 87 | 2 | 1 | Human Resources | 2 | Married | 2804 | 15434 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1330 | 0 | 43 | Travel_Rarely | 823 | Research & Development | 6 | 3 | Medical | 1 | 1866 | 1 | Female | 81 | 2 | 5 | Manager | 3 | Married | 19392 | 22539 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 16 | 12 | 6 | 14 |
| 1331 | 0 | 48 | Travel_Rarely | 1224 | Research & Development | 10 | 3 | Life Sciences | 1 | 1867 | 4 | Male | 91 | 2 | 5 | Research Director | 2 | Married | 19665 | 13583 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 29 | 3 | 3 | 22 | 10 | 12 | 9 |
| 1332 | 1 | 29 | Travel_Frequently | 459 | Research & Development | 24 | 2 | Life Sciences | 1 | 1868 | 4 | Male | 73 | 2 | 1 | Research Scientist | 4 | Single | 2439 | 14753 | 1 | Y | Yes | 24 | 4 | 2 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
| 1333 | 1 | 46 | Travel_Rarely | 1254 | Sales | 10 | 3 | Life Sciences | 1 | 1869 | 3 | Female | 64 | 3 | 3 | Sales Executive | 2 | Married | 7314 | 14011 | 5 | Y | No | 21 | 4 | 3 | 80 | 3 | 14 | 2 | 3 | 8 | 7 | 0 | 7 |
| 1334 | 0 | 27 | Travel_Frequently | 1131 | Research & Development | 15 | 3 | Life Sciences | 1 | 1870 | 4 | Female | 77 | 2 | 1 | Research Scientist | 1 | Married | 4774 | 23844 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 8 | 2 | 2 | 7 | 6 | 7 | 3 |
| 1335 | 0 | 39 | Travel_Rarely | 835 | Research & Development | 19 | 4 | Other | 1 | 1871 | 4 | Male | 41 | 3 | 2 | Research Scientist | 4 | Divorced | 3902 | 5141 | 8 | Y | No | 14 | 3 | 2 | 80 | 3 | 7 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1336 | 0 | 55 | Travel_Rarely | 836 | Research & Development | 2 | 4 | Technical Degree | 1 | 1873 | 2 | Male | 98 | 2 | 1 | Research Scientist | 4 | Married | 2662 | 7975 | 8 | Y | No | 20 | 4 | 2 | 80 | 1 | 19 | 2 | 4 | 5 | 2 | 0 | 4 |
| 1337 | 0 | 28 | Travel_Rarely | 1172 | Sales | 3 | 3 | Medical | 1 | 1875 | 2 | Female | 78 | 3 | 1 | Sales Representative | 2 | Married | 2856 | 3692 | 1 | Y | No | 19 | 3 | 4 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1338 | 1 | 30 | Travel_Rarely | 945 | Sales | 9 | 3 | Medical | 1 | 1876 | 2 | Male | 89 | 3 | 1 | Sales Representative | 4 | Single | 1081 | 16019 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 0 | 0 |
| 1339 | 1 | 22 | Travel_Rarely | 391 | Research & Development | 7 | 1 | Life Sciences | 1 | 1878 | 4 | Male | 75 | 3 | 1 | Research Scientist | 2 | Single | 2472 | 26092 | 1 | Y | Yes | 23 | 4 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1340 | 0 | 36 | Travel_Rarely | 1266 | Sales | 10 | 4 | Technical Degree | 1 | 1880 | 2 | Female | 63 | 2 | 2 | Sales Executive | 3 | Married | 5673 | 6060 | 1 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 4 | 3 | 10 | 9 | 1 | 7 |
| 1341 | 0 | 31 | Travel_Rarely | 311 | Research & Development | 20 | 3 | Life Sciences | 1 | 1881 | 2 | Male | 89 | 3 | 2 | Laboratory Technician | 3 | Divorced | 4197 | 18624 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 8 | 0 | 2 |
| 1342 | 0 | 34 | Travel_Rarely | 1480 | Sales | 4 | 3 | Life Sciences | 1 | 1882 | 3 | Male | 64 | 3 | 3 | Sales Executive | 4 | Married | 9713 | 24444 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 3 | 9 | 3 | 3 | 5 | 3 | 1 | 0 |
| 1343 | 0 | 29 | Travel_Rarely | 592 | Research & Development | 7 | 3 | Life Sciences | 1 | 1883 | 4 | Male | 59 | 3 | 1 | Laboratory Technician | 1 | Single | 2062 | 19384 | 3 | Y | No | 14 | 3 | 2 | 80 | 0 | 11 | 2 | 3 | 3 | 2 | 1 | 2 |
| 1344 | 0 | 37 | Travel_Rarely | 783 | Research & Development | 7 | 4 | Medical | 1 | 1885 | 4 | Male | 78 | 3 | 2 | Research Scientist | 1 | Married | 4284 | 13588 | 5 | Y | Yes | 22 | 4 | 3 | 80 | 1 | 16 | 2 | 3 | 5 | 3 | 0 | 4 |
| 1345 | 0 | 35 | Travel_Rarely | 219 | Research & Development | 16 | 2 | Other | 1 | 1886 | 4 | Female | 44 | 2 | 2 | Manufacturing Director | 2 | Married | 4788 | 25388 | 0 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 0 | 2 |
| 1346 | 0 | 45 | Travel_Rarely | 556 | Research & Development | 25 | 2 | Life Sciences | 1 | 1888 | 2 | Female | 93 | 2 | 2 | Manufacturing Director | 4 | Married | 5906 | 23888 | 0 | Y | No | 13 | 3 | 4 | 80 | 2 | 10 | 2 | 2 | 9 | 8 | 3 | 8 |
| 1347 | 0 | 36 | Travel_Frequently | 1213 | Human Resources | 2 | 1 | Human Resources | 1 | 1890 | 2 | Male | 94 | 2 | 2 | Human Resources | 4 | Single | 3886 | 4223 | 1 | Y | No | 21 | 4 | 4 | 80 | 0 | 10 | 2 | 2 | 10 | 1 | 0 | 8 |
| 1348 | 0 | 40 | Travel_Rarely | 1137 | Research & Development | 1 | 4 | Life Sciences | 1 | 1892 | 1 | Male | 98 | 3 | 4 | Manager | 1 | Divorced | 16823 | 18991 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 22 | 3 | 3 | 19 | 7 | 11 | 16 |
| 1349 | 0 | 26 | Travel_Rarely | 482 | Research & Development | 1 | 2 | Life Sciences | 1 | 1893 | 2 | Female | 90 | 2 | 1 | Research Scientist | 3 | Married | 2933 | 14908 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
| 1350 | 0 | 27 | Travel_Rarely | 511 | Sales | 2 | 2 | Medical | 1 | 1898 | 1 | Female | 89 | 4 | 2 | Sales Executive | 3 | Single | 6500 | 26997 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 5 | 2 | 8 | 7 | 0 | 7 |
| 1351 | 0 | 48 | Travel_Frequently | 117 | Research & Development | 22 | 3 | Medical | 1 | 1900 | 4 | Female | 58 | 3 | 4 | Manager | 4 | Divorced | 17174 | 2437 | 3 | Y | No | 11 | 3 | 2 | 80 | 1 | 24 | 3 | 3 | 22 | 17 | 4 | 7 |
| 1352 | 0 | 44 | Travel_Rarely | 170 | Research & Development | 1 | 4 | Life Sciences | 1 | 1903 | 2 | Male | 78 | 4 | 2 | Healthcare Representative | 1 | Married | 5033 | 9364 | 2 | Y | No | 15 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 2 | 0 | 2 | 2 |
| 1353 | 1 | 34 | Non-Travel | 967 | Research & Development | 16 | 4 | Technical Degree | 1 | 1905 | 4 | Male | 85 | 1 | 1 | Research Scientist | 1 | Married | 2307 | 14460 | 1 | Y | Yes | 23 | 4 | 2 | 80 | 1 | 5 | 2 | 3 | 5 | 2 | 3 | 0 |
| 1354 | 1 | 56 | Travel_Rarely | 1162 | Research & Development | 24 | 2 | Life Sciences | 1 | 1907 | 1 | Male | 97 | 3 | 1 | Laboratory Technician | 4 | Single | 2587 | 10261 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 4 | 2 | 1 | 0 |
| 1355 | 0 | 36 | Travel_Rarely | 335 | Sales | 17 | 2 | Marketing | 1 | 1908 | 3 | Male | 33 | 2 | 2 | Sales Executive | 2 | Married | 5507 | 16822 | 2 | Y | No | 16 | 3 | 3 | 80 | 2 | 12 | 1 | 1 | 4 | 2 | 1 | 3 |
| 1356 | 0 | 41 | Travel_Rarely | 337 | Sales | 8 | 3 | Marketing | 1 | 1909 | 3 | Female | 54 | 3 | 2 | Sales Executive | 2 | Married | 4393 | 26841 | 5 | Y | No | 21 | 4 | 3 | 80 | 1 | 14 | 3 | 3 | 5 | 4 | 1 | 4 |
| 1357 | 0 | 42 | Travel_Rarely | 1396 | Research & Development | 6 | 3 | Medical | 1 | 1911 | 3 | Male | 83 | 3 | 3 | Research Director | 1 | Married | 13348 | 14842 | 9 | Y | No | 13 | 3 | 2 | 80 | 1 | 18 | 3 | 4 | 13 | 7 | 5 | 7 |
| 1358 | 0 | 31 | Travel_Rarely | 1079 | Sales | 10 | 2 | Medical | 1 | 1912 | 3 | Female | 86 | 3 | 2 | Sales Executive | 4 | Divorced | 6583 | 20115 | 2 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 8 | 2 | 3 | 5 | 2 | 1 | 4 |
| 1359 | 0 | 34 | Travel_Rarely | 735 | Sales | 3 | 1 | Medical | 1 | 1915 | 4 | Female | 75 | 2 | 2 | Sales Executive | 4 | Married | 8103 | 16495 | 3 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 9 | 3 | 2 | 4 | 2 | 0 | 1 |
| 1360 | 0 | 31 | Travel_Rarely | 471 | Research & Development | 4 | 3 | Medical | 1 | 1916 | 1 | Female | 62 | 4 | 1 | Laboratory Technician | 3 | Divorced | 3978 | 16031 | 8 | Y | No | 12 | 3 | 2 | 80 | 1 | 4 | 0 | 2 | 2 | 2 | 2 | 2 |
| 1361 | 0 | 26 | Travel_Frequently | 1096 | Research & Development | 6 | 3 | Other | 1 | 1918 | 3 | Male | 61 | 4 | 1 | Laboratory Technician | 4 | Married | 2544 | 7102 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 7 | 7 | 7 | 7 |
| 1362 | 0 | 45 | Travel_Frequently | 1297 | Research & Development | 1 | 4 | Medical | 1 | 1922 | 2 | Male | 44 | 3 | 2 | Healthcare Representative | 3 | Single | 5399 | 14511 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 12 | 3 | 3 | 4 | 2 | 0 | 3 |
| 1363 | 0 | 33 | Travel_Rarely | 217 | Sales | 10 | 4 | Marketing | 1 | 1924 | 2 | Male | 43 | 3 | 2 | Sales Executive | 3 | Single | 5487 | 10410 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 10 | 2 | 2 | 10 | 4 | 0 | 9 |
| 1364 | 0 | 28 | Travel_Frequently | 783 | Sales | 1 | 2 | Life Sciences | 1 | 1927 | 3 | Male | 42 | 2 | 2 | Sales Executive | 4 | Married | 6834 | 19255 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 7 | 2 | 3 | 7 | 7 | 0 | 7 |
| 1365 | 1 | 29 | Travel_Frequently | 746 | Sales | 24 | 3 | Technical Degree | 1 | 1928 | 3 | Male | 45 | 4 | 1 | Sales Representative | 1 | Single | 1091 | 10642 | 1 | Y | No | 17 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
| 1366 | 0 | 39 | Non-Travel | 1251 | Sales | 21 | 4 | Life Sciences | 1 | 1929 | 1 | Female | 32 | 1 | 2 | Sales Executive | 3 | Married | 5736 | 3987 | 6 | Y | No | 19 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 3 | 2 | 1 | 2 |
| 1367 | 0 | 27 | Travel_Rarely | 1354 | Research & Development | 2 | 4 | Technical Degree | 1 | 1931 | 2 | Male | 41 | 3 | 1 | Research Scientist | 2 | Married | 2226 | 6073 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 6 | 3 | 2 | 5 | 3 | 1 | 2 |
| 1368 | 0 | 34 | Travel_Frequently | 735 | Research & Development | 22 | 4 | Other | 1 | 1932 | 3 | Male | 86 | 2 | 2 | Research Scientist | 4 | Married | 5747 | 26496 | 1 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 16 | 3 | 3 | 15 | 10 | 6 | 11 |
| 1369 | 1 | 28 | Travel_Rarely | 1475 | Sales | 13 | 2 | Marketing | 1 | 1933 | 4 | Female | 84 | 3 | 2 | Sales Executive | 3 | Single | 9854 | 23352 | 3 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 0 | 3 | 2 | 0 | 2 | 2 |
| 1370 | 0 | 47 | Non-Travel | 1169 | Research & Development | 14 | 4 | Technical Degree | 1 | 1934 | 3 | Male | 64 | 3 | 2 | Research Scientist | 2 | Married | 5467 | 2125 | 8 | Y | No | 18 | 3 | 3 | 80 | 1 | 16 | 4 | 4 | 8 | 7 | 1 | 7 |
| 1371 | 0 | 56 | Travel_Rarely | 1443 | Sales | 11 | 5 | Marketing | 1 | 1935 | 4 | Female | 89 | 2 | 2 | Sales Executive | 1 | Married | 5380 | 20328 | 4 | Y | No | 16 | 3 | 3 | 80 | 1 | 6 | 3 | 3 | 0 | 0 | 0 | 0 |
| 1372 | 0 | 39 | Travel_Rarely | 867 | Research & Development | 9 | 2 | Medical | 1 | 1936 | 1 | Male | 87 | 3 | 2 | Manufacturing Director | 1 | Married | 5151 | 12315 | 1 | Y | No | 25 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 0 | 7 | 9 |
| 1373 | 0 | 38 | Travel_Frequently | 1394 | Research & Development | 8 | 3 | Medical | 1 | 1937 | 4 | Female | 58 | 2 | 2 | Research Scientist | 2 | Divorced | 2133 | 18115 | 1 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 20 | 3 | 3 | 20 | 11 | 0 | 7 |
| 1374 | 0 | 58 | Travel_Rarely | 605 | Sales | 21 | 3 | Life Sciences | 1 | 1938 | 4 | Female | 72 | 3 | 4 | Manager | 4 | Married | 17875 | 11761 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 29 | 2 | 2 | 1 | 0 | 0 | 0 |
| 1375 | 1 | 32 | Travel_Frequently | 238 | Research & Development | 5 | 2 | Life Sciences | 1 | 1939 | 1 | Female | 47 | 4 | 1 | Research Scientist | 3 | Single | 2432 | 15318 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 8 | 2 | 3 | 4 | 1 | 0 | 3 |
| 1376 | 0 | 38 | Travel_Rarely | 1206 | Research & Development | 9 | 2 | Life Sciences | 1 | 1940 | 2 | Male | 71 | 3 | 1 | Research Scientist | 4 | Divorced | 4771 | 14293 | 2 | Y | No | 19 | 3 | 4 | 80 | 2 | 10 | 0 | 4 | 5 | 2 | 0 | 3 |
| 1377 | 0 | 49 | Travel_Frequently | 1064 | Research & Development | 2 | 1 | Life Sciences | 1 | 1941 | 2 | Male | 42 | 3 | 5 | Research Director | 4 | Married | 19161 | 13738 | 3 | Y | No | 15 | 3 | 4 | 80 | 0 | 28 | 3 | 3 | 5 | 4 | 4 | 3 |
| 1378 | 0 | 42 | Travel_Rarely | 419 | Sales | 12 | 4 | Marketing | 1 | 1943 | 2 | Male | 77 | 3 | 2 | Sales Executive | 4 | Divorced | 5087 | 2900 | 3 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 14 | 4 | 3 | 0 | 0 | 0 | 0 |
| 1379 | 1 | 27 | Travel_Frequently | 1337 | Human Resources | 22 | 3 | Human Resources | 1 | 1944 | 1 | Female | 58 | 2 | 1 | Human Resources | 2 | Married | 2863 | 19555 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 1380 | 0 | 35 | Travel_Rarely | 682 | Sales | 18 | 4 | Medical | 1 | 1945 | 2 | Male | 71 | 3 | 2 | Sales Executive | 1 | Married | 5561 | 15975 | 0 | Y | No | 16 | 3 | 4 | 80 | 1 | 6 | 2 | 1 | 5 | 3 | 0 | 4 |
| 1381 | 0 | 28 | Non-Travel | 1103 | Research & Development | 16 | 3 | Medical | 1 | 1947 | 3 | Male | 49 | 3 | 1 | Research Scientist | 3 | Single | 2144 | 2122 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 5 | 3 | 2 | 5 | 3 | 1 | 4 |
| 1382 | 0 | 31 | Non-Travel | 976 | Research & Development | 3 | 2 | Medical | 1 | 1948 | 3 | Male | 48 | 3 | 1 | Research Scientist | 1 | Divorced | 3065 | 3995 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 4 | 3 | 4 | 4 | 2 | 2 | 3 |
| 1383 | 0 | 36 | Non-Travel | 1351 | Research & Development | 9 | 4 | Life Sciences | 1 | 1949 | 1 | Male | 66 | 4 | 1 | Laboratory Technician | 2 | Married | 2810 | 9238 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 2 |
| 1384 | 0 | 34 | Travel_Rarely | 937 | Sales | 1 | 3 | Marketing | 1 | 1950 | 1 | Male | 32 | 3 | 3 | Sales Executive | 4 | Single | 9888 | 6770 | 1 | Y | No | 21 | 4 | 1 | 80 | 0 | 14 | 3 | 2 | 14 | 8 | 2 | 1 |
| 1385 | 0 | 34 | Travel_Rarely | 1239 | Sales | 13 | 4 | Medical | 1 | 1951 | 4 | Male | 39 | 3 | 3 | Sales Executive | 3 | Divorced | 8628 | 22914 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 9 | 2 | 2 | 8 | 7 | 1 | 1 |
| 1386 | 0 | 26 | Travel_Rarely | 157 | Research & Development | 1 | 3 | Medical | 1 | 1952 | 3 | Male | 95 | 3 | 1 | Laboratory Technician | 1 | Single | 2867 | 20006 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 8 | 6 | 2 | 7 | 7 | 7 | 6 |
| 1387 | 0 | 29 | Travel_Rarely | 136 | Research & Development | 1 | 3 | Life Sciences | 1 | 1954 | 1 | Male | 89 | 3 | 2 | Healthcare Representative | 1 | Married | 5373 | 6225 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 6 | 5 | 2 | 5 | 3 | 0 | 2 |
| 1388 | 0 | 32 | Non-Travel | 1146 | Research & Development | 15 | 4 | Medical | 1 | 1955 | 3 | Female | 34 | 3 | 2 | Healthcare Representative | 4 | Divorced | 6667 | 16542 | 5 | Y | No | 18 | 3 | 2 | 80 | 1 | 9 | 6 | 3 | 5 | 1 | 1 | 2 |
| 1389 | 0 | 31 | Travel_Frequently | 1125 | Research & Development | 1 | 3 | Life Sciences | 1 | 1956 | 4 | Male | 48 | 1 | 2 | Research Scientist | 1 | Married | 5003 | 5771 | 1 | Y | No | 21 | 4 | 2 | 80 | 0 | 10 | 6 | 3 | 10 | 8 | 8 | 7 |
| 1390 | 1 | 28 | Travel_Rarely | 1404 | Research & Development | 17 | 3 | Technical Degree | 1 | 1960 | 3 | Male | 32 | 2 | 1 | Laboratory Technician | 4 | Divorced | 2367 | 18779 | 5 | Y | No | 12 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 4 | 1 | 0 | 3 |
| 1391 | 0 | 38 | Travel_Rarely | 1404 | Sales | 1 | 3 | Life Sciences | 1 | 1961 | 1 | Male | 59 | 2 | 1 | Sales Representative | 1 | Single | 2858 | 11473 | 4 | Y | No | 14 | 3 | 1 | 80 | 0 | 20 | 3 | 2 | 1 | 0 | 0 | 0 |
| 1392 | 0 | 35 | Travel_Rarely | 1224 | Sales | 7 | 4 | Life Sciences | 1 | 1962 | 3 | Female | 55 | 3 | 2 | Sales Executive | 4 | Married | 5204 | 13586 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 0 | 9 |
| 1393 | 0 | 27 | Travel_Rarely | 954 | Sales | 9 | 3 | Marketing | 1 | 1965 | 4 | Male | 44 | 3 | 2 | Sales Executive | 4 | Single | 4105 | 5099 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 7 | 5 | 3 | 7 | 7 | 0 | 7 |
| 1394 | 0 | 32 | Travel_Rarely | 1373 | Research & Development | 5 | 4 | Life Sciences | 1 | 1966 | 4 | Male | 56 | 2 | 2 | Manufacturing Director | 4 | Single | 9679 | 10138 | 8 | Y | No | 24 | 4 | 2 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 0 |
| 1395 | 1 | 31 | Travel_Frequently | 754 | Sales | 26 | 4 | Marketing | 1 | 1967 | 1 | Male | 63 | 3 | 2 | Sales Executive | 4 | Married | 5617 | 21075 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 10 | 4 | 3 | 10 | 7 | 0 | 8 |
| 1396 | 1 | 53 | Travel_Rarely | 1168 | Sales | 24 | 4 | Life Sciences | 1 | 1968 | 1 | Male | 66 | 3 | 3 | Sales Executive | 1 | Single | 10448 | 5843 | 6 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 15 | 2 | 2 | 2 | 2 | 2 | 2 |
| 1397 | 0 | 54 | Travel_Rarely | 155 | Research & Development | 9 | 2 | Life Sciences | 1 | 1969 | 1 | Female | 67 | 3 | 2 | Research Scientist | 3 | Married | 2897 | 22474 | 3 | Y | No | 11 | 3 | 3 | 80 | 2 | 9 | 6 | 2 | 4 | 3 | 2 | 3 |
| 1398 | 0 | 33 | Travel_Frequently | 1303 | Research & Development | 7 | 2 | Life Sciences | 1 | 1970 | 4 | Male | 36 | 3 | 2 | Healthcare Representative | 3 | Divorced | 5968 | 18079 | 1 | Y | No | 20 | 4 | 3 | 80 | 3 | 9 | 2 | 3 | 9 | 7 | 2 | 8 |
| 1399 | 0 | 43 | Travel_Rarely | 574 | Research & Development | 11 | 3 | Life Sciences | 1 | 1971 | 1 | Male | 30 | 3 | 3 | Healthcare Representative | 3 | Married | 7510 | 16873 | 1 | Y | No | 17 | 3 | 2 | 80 | 1 | 10 | 1 | 3 | 10 | 9 | 0 | 9 |
| 1400 | 0 | 38 | Travel_Frequently | 1444 | Human Resources | 1 | 4 | Other | 1 | 1972 | 4 | Male | 88 | 3 | 1 | Human Resources | 2 | Married | 2991 | 5224 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 7 | 2 | 3 | 6 | 2 | 1 | 2 |
| 1401 | 0 | 55 | Travel_Rarely | 189 | Human Resources | 26 | 4 | Human Resources | 1 | 1973 | 3 | Male | 71 | 4 | 5 | Manager | 2 | Married | 19636 | 25811 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 1 | 35 | 0 | 3 | 10 | 9 | 1 | 4 |
| 1402 | 0 | 31 | Travel_Rarely | 1276 | Research & Development | 2 | 1 | Medical | 1 | 1974 | 4 | Female | 59 | 1 | 1 | Laboratory Technician | 4 | Divorced | 1129 | 17536 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 3 | 1 | 4 | 3 | 1 | 0 | 0 | 0 |
| 1403 | 0 | 39 | Travel_Rarely | 119 | Sales | 15 | 4 | Marketing | 1 | 1975 | 2 | Male | 77 | 3 | 4 | Sales Executive | 1 | Single | 13341 | 25098 | 0 | Y | No | 12 | 3 | 1 | 80 | 0 | 21 | 3 | 3 | 20 | 8 | 11 | 10 |
| 1404 | 0 | 42 | Non-Travel | 335 | Research & Development | 23 | 2 | Life Sciences | 1 | 1976 | 4 | Male | 37 | 2 | 2 | Research Scientist | 3 | Single | 4332 | 14811 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 20 | 9 | 3 | 7 |
| 1405 | 0 | 31 | Non-Travel | 697 | Research & Development | 10 | 3 | Medical | 1 | 1979 | 3 | Female | 40 | 3 | 3 | Research Director | 3 | Married | 11031 | 26862 | 4 | Y | No | 20 | 4 | 3 | 80 | 1 | 13 | 2 | 4 | 11 | 7 | 4 | 8 |
| 1406 | 0 | 54 | Travel_Rarely | 157 | Research & Development | 10 | 3 | Medical | 1 | 1980 | 3 | Female | 77 | 3 | 2 | Manufacturing Director | 1 | Single | 4440 | 25198 | 6 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 5 | 2 | 1 | 4 |
| 1407 | 0 | 24 | Travel_Rarely | 771 | Research & Development | 1 | 2 | Life Sciences | 1 | 1981 | 2 | Male | 45 | 2 | 2 | Healthcare Representative | 3 | Single | 4617 | 14120 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 3 | 1 | 2 |
| 1408 | 0 | 23 | Travel_Rarely | 571 | Research & Development | 12 | 2 | Other | 1 | 1982 | 4 | Male | 78 | 3 | 1 | Laboratory Technician | 4 | Single | 2647 | 13672 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 5 | 6 | 4 | 5 | 2 | 1 | 4 |
| 1409 | 0 | 40 | Travel_Frequently | 692 | Research & Development | 11 | 3 | Technical Degree | 1 | 1985 | 4 | Female | 73 | 3 | 2 | Laboratory Technician | 3 | Married | 6323 | 26849 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 4 | 10 | 9 | 9 | 4 |
| 1410 | 0 | 40 | Travel_Rarely | 444 | Sales | 2 | 2 | Marketing | 1 | 1986 | 2 | Female | 92 | 3 | 2 | Sales Executive | 2 | Married | 5677 | 4258 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 4 | 3 | 11 | 8 | 5 | 10 |
| 1411 | 0 | 25 | Travel_Rarely | 309 | Human Resources | 2 | 3 | Human Resources | 1 | 1987 | 3 | Female | 82 | 3 | 1 | Human Resources | 2 | Married | 2187 | 19655 | 4 | Y | No | 14 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 2 | 0 | 1 | 2 |
| 1412 | 0 | 30 | Travel_Rarely | 911 | Research & Development | 1 | 2 | Medical | 1 | 1989 | 4 | Male | 76 | 3 | 1 | Laboratory Technician | 2 | Married | 3748 | 4077 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 6 | 2 | 12 | 8 | 1 | 7 |
| 1413 | 0 | 25 | Travel_Rarely | 977 | Research & Development | 2 | 1 | Other | 1 | 1992 | 4 | Male | 57 | 3 | 1 | Laboratory Technician | 3 | Divorced | 3977 | 7298 | 6 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 7 | 2 | 2 | 2 | 2 | 0 | 2 |
| 1414 | 0 | 47 | Travel_Rarely | 1180 | Research & Development | 25 | 3 | Medical | 1 | 1993 | 1 | Male | 84 | 3 | 3 | Healthcare Representative | 3 | Single | 8633 | 13084 | 2 | Y | No | 23 | 4 | 2 | 80 | 0 | 25 | 3 | 3 | 17 | 14 | 12 | 11 |
| 1415 | 0 | 33 | Non-Travel | 1313 | Research & Development | 1 | 2 | Medical | 1 | 1994 | 2 | Male | 59 | 2 | 1 | Laboratory Technician | 3 | Divorced | 2008 | 20439 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 1 | 2 | 2 | 1 | 1 | 0 | 0 |
| 1416 | 0 | 38 | Travel_Rarely | 1321 | Sales | 1 | 4 | Life Sciences | 1 | 1995 | 4 | Male | 86 | 3 | 2 | Sales Executive | 2 | Married | 4440 | 7636 | 0 | Y | No | 15 | 3 | 1 | 80 | 2 | 16 | 3 | 3 | 15 | 13 | 5 | 8 |
| 1417 | 0 | 31 | Travel_Rarely | 1154 | Sales | 2 | 2 | Life Sciences | 1 | 1996 | 1 | Male | 54 | 3 | 1 | Sales Representative | 3 | Married | 3067 | 6393 | 0 | Y | No | 19 | 3 | 3 | 80 | 1 | 3 | 1 | 3 | 2 | 2 | 1 | 2 |
| 1418 | 0 | 38 | Travel_Frequently | 508 | Research & Development | 6 | 4 | Life Sciences | 1 | 1997 | 1 | Male | 72 | 2 | 2 | Manufacturing Director | 3 | Married | 5321 | 14284 | 2 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 1 | 3 | 8 | 3 | 7 | 7 |
| 1419 | 0 | 42 | Travel_Rarely | 557 | Research & Development | 18 | 4 | Life Sciences | 1 | 1998 | 4 | Male | 35 | 3 | 2 | Research Scientist | 1 | Divorced | 5410 | 11189 | 6 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 9 | 3 | 2 | 4 | 3 | 1 | 2 |
| 1420 | 0 | 41 | Travel_Rarely | 642 | Research & Development | 1 | 3 | Life Sciences | 1 | 1999 | 4 | Male | 76 | 3 | 1 | Research Scientist | 4 | Married | 2782 | 21412 | 3 | Y | No | 22 | 4 | 1 | 80 | 1 | 12 | 3 | 3 | 5 | 3 | 1 | 0 |
| 1421 | 0 | 47 | Non-Travel | 1162 | Research & Development | 1 | 1 | Medical | 1 | 2000 | 3 | Female | 98 | 3 | 3 | Research Director | 2 | Married | 11957 | 17231 | 0 | Y | No | 18 | 3 | 1 | 80 | 2 | 14 | 3 | 1 | 13 | 8 | 5 | 12 |
| 1422 | 0 | 35 | Travel_Rarely | 1490 | Research & Development | 11 | 4 | Medical | 1 | 2003 | 4 | Male | 43 | 3 | 1 | Laboratory Technician | 3 | Married | 2660 | 20232 | 7 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 5 | 3 | 3 | 2 | 2 | 2 | 2 |
| 1423 | 0 | 22 | Travel_Rarely | 581 | Research & Development | 1 | 2 | Life Sciences | 1 | 2007 | 4 | Male | 63 | 3 | 1 | Research Scientist | 3 | Single | 3375 | 17624 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 4 | 2 | 4 | 3 | 2 | 1 | 2 |
| 1424 | 0 | 35 | Travel_Rarely | 1395 | Research & Development | 9 | 4 | Medical | 1 | 2008 | 2 | Male | 48 | 3 | 2 | Research Scientist | 3 | Single | 5098 | 18698 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 5 | 3 | 10 | 7 | 0 | 8 |
| 1425 | 0 | 33 | Travel_Rarely | 501 | Research & Development | 15 | 2 | Medical | 1 | 2009 | 2 | Female | 95 | 3 | 2 | Healthcare Representative | 4 | Married | 4878 | 21653 | 0 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 6 | 3 | 9 | 7 | 8 | 1 |
| 1426 | 0 | 32 | Travel_Rarely | 267 | Research & Development | 29 | 4 | Life Sciences | 1 | 2010 | 3 | Female | 49 | 2 | 1 | Laboratory Technician | 2 | Single | 2837 | 15919 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 2 | 4 | 1 |
| 1427 | 0 | 40 | Travel_Rarely | 543 | Research & Development | 1 | 4 | Life Sciences | 1 | 2012 | 1 | Male | 83 | 3 | 1 | Laboratory Technician | 4 | Married | 2406 | 4060 | 8 | Y | No | 19 | 3 | 3 | 80 | 2 | 8 | 3 | 2 | 1 | 0 | 0 | 0 |
| 1428 | 0 | 32 | Travel_Rarely | 234 | Sales | 1 | 4 | Medical | 1 | 2013 | 2 | Male | 68 | 2 | 1 | Sales Representative | 2 | Married | 2269 | 18024 | 0 | Y | No | 14 | 3 | 2 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1429 | 0 | 39 | Travel_Rarely | 116 | Research & Development | 24 | 1 | Life Sciences | 1 | 2014 | 1 | Male | 52 | 3 | 2 | Research Scientist | 4 | Single | 4108 | 5340 | 7 | Y | No | 13 | 3 | 1 | 80 | 0 | 18 | 2 | 3 | 7 | 7 | 1 | 7 |
| 1430 | 0 | 38 | Travel_Rarely | 201 | Research & Development | 10 | 3 | Medical | 1 | 2015 | 2 | Female | 99 | 1 | 3 | Research Director | 3 | Married | 13206 | 3376 | 3 | Y | No | 12 | 3 | 1 | 80 | 1 | 20 | 3 | 3 | 18 | 16 | 1 | 11 |
| 1431 | 0 | 32 | Travel_Rarely | 801 | Sales | 1 | 4 | Marketing | 1 | 2016 | 3 | Female | 48 | 3 | 3 | Sales Executive | 4 | Married | 10422 | 24032 | 1 | Y | No | 19 | 3 | 3 | 80 | 2 | 14 | 3 | 3 | 14 | 10 | 5 | 7 |
| 1432 | 0 | 37 | Travel_Rarely | 161 | Research & Development | 10 | 3 | Life Sciences | 1 | 2017 | 3 | Female | 42 | 4 | 3 | Research Director | 4 | Married | 13744 | 15471 | 1 | Y | Yes | 25 | 4 | 1 | 80 | 1 | 16 | 2 | 3 | 16 | 11 | 6 | 8 |
| 1433 | 0 | 25 | Travel_Rarely | 1382 | Sales | 8 | 2 | Other | 1 | 2018 | 1 | Female | 85 | 3 | 2 | Sales Executive | 3 | Divorced | 4907 | 13684 | 0 | Y | Yes | 22 | 4 | 2 | 80 | 1 | 6 | 3 | 2 | 5 | 3 | 0 | 4 |
| 1434 | 0 | 52 | Non-Travel | 585 | Sales | 29 | 4 | Life Sciences | 1 | 2019 | 1 | Male | 40 | 3 | 1 | Sales Representative | 4 | Divorced | 3482 | 19788 | 2 | Y | No | 15 | 3 | 2 | 80 | 2 | 16 | 3 | 2 | 9 | 8 | 0 | 0 |
| 1435 | 0 | 44 | Travel_Rarely | 1037 | Research & Development | 1 | 3 | Medical | 1 | 2020 | 2 | Male | 42 | 3 | 1 | Research Scientist | 4 | Single | 2436 | 13422 | 6 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 4 | 3 | 1 | 2 |
| 1436 | 0 | 21 | Travel_Rarely | 501 | Sales | 5 | 1 | Medical | 1 | 2021 | 3 | Male | 58 | 3 | 1 | Sales Representative | 1 | Single | 2380 | 25479 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 2 | 6 | 3 | 2 | 2 | 1 | 2 |
| 1437 | 0 | 39 | Non-Travel | 105 | Research & Development | 9 | 3 | Life Sciences | 1 | 2022 | 4 | Male | 87 | 3 | 5 | Manager | 4 | Single | 19431 | 15302 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 21 | 3 | 2 | 6 | 0 | 1 | 3 |
| 1438 | 1 | 23 | Travel_Frequently | 638 | Sales | 9 | 3 | Marketing | 1 | 2023 | 4 | Male | 33 | 3 | 1 | Sales Representative | 1 | Married | 1790 | 26956 | 1 | Y | No | 19 | 3 | 1 | 80 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
| 1439 | 0 | 36 | Travel_Rarely | 557 | Sales | 3 | 3 | Medical | 1 | 2024 | 1 | Female | 94 | 2 | 3 | Sales Executive | 4 | Married | 7644 | 12695 | 0 | Y | No | 19 | 3 | 3 | 80 | 2 | 10 | 2 | 3 | 9 | 7 | 3 | 4 |
| 1440 | 0 | 36 | Travel_Frequently | 688 | Research & Development | 4 | 2 | Life Sciences | 1 | 2025 | 4 | Female | 97 | 3 | 2 | Manufacturing Director | 2 | Divorced | 5131 | 9192 | 7 | Y | No | 13 | 3 | 2 | 80 | 3 | 18 | 3 | 3 | 4 | 2 | 0 | 2 |
| 1441 | 0 | 56 | Non-Travel | 667 | Research & Development | 1 | 4 | Life Sciences | 1 | 2026 | 3 | Male | 57 | 3 | 2 | Healthcare Representative | 3 | Divorced | 6306 | 26236 | 1 | Y | No | 21 | 4 | 1 | 80 | 1 | 13 | 2 | 2 | 13 | 12 | 1 | 9 |
| 1442 | 1 | 29 | Travel_Rarely | 1092 | Research & Development | 1 | 4 | Medical | 1 | 2027 | 1 | Male | 36 | 3 | 1 | Research Scientist | 4 | Married | 4787 | 26124 | 9 | Y | Yes | 14 | 3 | 2 | 80 | 3 | 4 | 3 | 4 | 2 | 2 | 2 | 2 |
| 1443 | 0 | 42 | Travel_Rarely | 300 | Research & Development | 2 | 3 | Life Sciences | 1 | 2031 | 1 | Male | 56 | 3 | 5 | Manager | 3 | Married | 18880 | 17312 | 5 | Y | No | 11 | 3 | 1 | 80 | 0 | 24 | 2 | 2 | 22 | 6 | 4 | 14 |
| 1444 | 1 | 56 | Travel_Rarely | 310 | Research & Development | 7 | 2 | Technical Degree | 1 | 2032 | 4 | Male | 72 | 3 | 1 | Laboratory Technician | 3 | Married | 2339 | 3666 | 8 | Y | No | 11 | 3 | 4 | 80 | 1 | 14 | 4 | 1 | 10 | 9 | 9 | 8 |
| 1445 | 0 | 41 | Travel_Rarely | 582 | Research & Development | 28 | 4 | Life Sciences | 1 | 2034 | 1 | Female | 60 | 2 | 4 | Manufacturing Director | 2 | Married | 13570 | 5640 | 0 | Y | No | 23 | 4 | 3 | 80 | 1 | 21 | 3 | 3 | 20 | 7 | 0 | 10 |
| 1446 | 0 | 34 | Travel_Rarely | 704 | Sales | 28 | 3 | Marketing | 1 | 2035 | 4 | Female | 95 | 2 | 2 | Sales Executive | 3 | Married | 6712 | 8978 | 1 | Y | No | 21 | 4 | 4 | 80 | 2 | 8 | 2 | 3 | 8 | 7 | 1 | 7 |
| 1447 | 0 | 36 | Non-Travel | 301 | Sales | 15 | 4 | Marketing | 1 | 2036 | 4 | Male | 88 | 1 | 2 | Sales Executive | 4 | Divorced | 5406 | 10436 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 15 | 4 | 2 | 15 | 12 | 11 | 11 |
| 1448 | 0 | 41 | Travel_Rarely | 930 | Sales | 3 | 3 | Life Sciences | 1 | 2037 | 3 | Male | 57 | 2 | 2 | Sales Executive | 2 | Divorced | 8938 | 12227 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 14 | 5 | 3 | 5 | 4 | 0 | 4 |
| 1449 | 0 | 32 | Travel_Rarely | 529 | Research & Development | 2 | 3 | Technical Degree | 1 | 2038 | 4 | Male | 78 | 3 | 1 | Research Scientist | 1 | Single | 2439 | 11288 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 4 | 4 | 3 | 4 | 2 | 1 | 2 |
| 1450 | 0 | 35 | Travel_Rarely | 1146 | Human Resources | 26 | 4 | Life Sciences | 1 | 2040 | 3 | Female | 31 | 3 | 3 | Human Resources | 4 | Single | 8837 | 16642 | 1 | Y | Yes | 16 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 9 | 0 | 1 | 7 |
| 1451 | 0 | 38 | Travel_Rarely | 345 | Sales | 10 | 2 | Life Sciences | 1 | 2041 | 1 | Female | 100 | 3 | 2 | Sales Executive | 4 | Married | 5343 | 5982 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 10 | 7 | 1 | 9 |
| 1452 | 1 | 50 | Travel_Frequently | 878 | Sales | 1 | 4 | Life Sciences | 1 | 2044 | 2 | Male | 94 | 3 | 2 | Sales Executive | 3 | Divorced | 6728 | 14255 | 7 | Y | No | 12 | 3 | 4 | 80 | 2 | 12 | 3 | 3 | 6 | 3 | 0 | 1 |
| 1453 | 0 | 36 | Travel_Rarely | 1120 | Sales | 11 | 4 | Marketing | 1 | 2045 | 2 | Female | 100 | 2 | 2 | Sales Executive | 4 | Married | 6652 | 14369 | 4 | Y | No | 13 | 3 | 1 | 80 | 1 | 8 | 2 | 2 | 6 | 3 | 0 | 0 |
| 1454 | 0 | 45 | Travel_Rarely | 374 | Sales | 20 | 3 | Life Sciences | 1 | 2046 | 4 | Female | 50 | 3 | 2 | Sales Executive | 3 | Single | 4850 | 23333 | 8 | Y | No | 15 | 3 | 3 | 80 | 0 | 8 | 3 | 3 | 5 | 3 | 0 | 1 |
| 1455 | 0 | 40 | Travel_Rarely | 1322 | Research & Development | 2 | 4 | Life Sciences | 1 | 2048 | 3 | Male | 52 | 2 | 1 | Research Scientist | 3 | Single | 2809 | 2725 | 2 | Y | No | 14 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
| 1456 | 0 | 35 | Travel_Frequently | 1199 | Research & Development | 18 | 4 | Life Sciences | 1 | 2049 | 3 | Male | 80 | 3 | 2 | Healthcare Representative | 3 | Married | 5689 | 24594 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 10 | 2 | 4 | 10 | 2 | 0 | 2 |
| 1457 | 0 | 40 | Travel_Rarely | 1194 | Research & Development | 2 | 4 | Medical | 1 | 2051 | 3 | Female | 98 | 3 | 1 | Research Scientist | 3 | Married | 2001 | 12549 | 2 | Y | No | 14 | 3 | 2 | 80 | 3 | 20 | 2 | 3 | 5 | 3 | 0 | 2 |
| 1458 | 0 | 35 | Travel_Rarely | 287 | Research & Development | 1 | 4 | Life Sciences | 1 | 2052 | 3 | Female | 62 | 1 | 1 | Research Scientist | 4 | Married | 2977 | 8952 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 4 | 5 | 3 | 4 | 3 | 1 | 1 |
| 1459 | 0 | 29 | Travel_Rarely | 1378 | Research & Development | 13 | 2 | Other | 1 | 2053 | 4 | Male | 46 | 2 | 2 | Laboratory Technician | 2 | Married | 4025 | 23679 | 4 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 4 | 3 | 0 | 3 |
| 1460 | 0 | 29 | Travel_Rarely | 468 | Research & Development | 28 | 4 | Medical | 1 | 2054 | 4 | Female | 73 | 2 | 1 | Research Scientist | 1 | Single | 3785 | 8489 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 3 | 1 | 5 | 4 | 0 | 4 |
| 1461 | 1 | 50 | Travel_Rarely | 410 | Sales | 28 | 3 | Marketing | 1 | 2055 | 4 | Male | 39 | 2 | 3 | Sales Executive | 1 | Divorced | 10854 | 16586 | 4 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 20 | 3 | 3 | 3 | 2 | 2 | 0 |
| 1462 | 0 | 39 | Travel_Rarely | 722 | Sales | 24 | 1 | Marketing | 1 | 2056 | 2 | Female | 60 | 2 | 4 | Sales Executive | 4 | Married | 12031 | 8828 | 0 | Y | No | 11 | 3 | 1 | 80 | 1 | 21 | 2 | 2 | 20 | 9 | 9 | 6 |
| 1463 | 0 | 31 | Non-Travel | 325 | Research & Development | 5 | 3 | Medical | 1 | 2057 | 2 | Male | 74 | 3 | 2 | Manufacturing Director | 1 | Single | 9936 | 3787 | 0 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 9 | 4 | 1 | 7 |
| 1464 | 0 | 26 | Travel_Rarely | 1167 | Sales | 5 | 3 | Other | 1 | 2060 | 4 | Female | 30 | 2 | 1 | Sales Representative | 3 | Single | 2966 | 21378 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 4 | 2 | 0 | 0 |
| 1465 | 0 | 36 | Travel_Frequently | 884 | Research & Development | 23 | 2 | Medical | 1 | 2061 | 3 | Male | 41 | 4 | 2 | Laboratory Technician | 4 | Married | 2571 | 12290 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 17 | 3 | 3 | 5 | 2 | 0 | 3 |
| 1466 | 0 | 39 | Travel_Rarely | 613 | Research & Development | 6 | 1 | Medical | 1 | 2062 | 4 | Male | 42 | 2 | 3 | Healthcare Representative | 1 | Married | 9991 | 21457 | 4 | Y | No | 15 | 3 | 1 | 80 | 1 | 9 | 5 | 3 | 7 | 7 | 1 | 7 |
| 1467 | 0 | 27 | Travel_Rarely | 155 | Research & Development | 4 | 3 | Life Sciences | 1 | 2064 | 2 | Male | 87 | 4 | 2 | Manufacturing Director | 2 | Married | 6142 | 5174 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 6 | 0 | 3 | 6 | 2 | 0 | 3 |
| 1468 | 0 | 49 | Travel_Frequently | 1023 | Sales | 2 | 3 | Medical | 1 | 2065 | 4 | Male | 63 | 2 | 2 | Sales Executive | 2 | Married | 5390 | 13243 | 2 | Y | No | 14 | 3 | 4 | 80 | 0 | 17 | 3 | 2 | 9 | 6 | 0 | 8 |
| 1469 | 0 | 34 | Travel_Rarely | 628 | Research & Development | 8 | 3 | Medical | 1 | 2068 | 2 | Male | 82 | 4 | 2 | Laboratory Technician | 3 | Married | 4404 | 10228 | 2 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 3 | 4 | 4 | 3 | 1 | 2 |
A = preprocessing(A1)
A1.columns
Index(['Attrition', 'Age', 'BusinessTravel', 'DailyRate', 'Department',
'DistanceFromHome', 'Education', 'EducationField', 'EmployeeCount',
'EmployeeNumber', 'EnvironmentSatisfaction', 'Gender', 'HourlyRate',
'JobInvolvement', 'JobLevel', 'JobRole', 'JobSatisfaction',
'MaritalStatus', 'MonthlyIncome', 'MonthlyRate', 'NumCompaniesWorked',
'Over18', 'OverTime', 'PercentSalaryHike', 'PerformanceRating',
'RelationshipSatisfaction', 'StandardHours', 'StockOptionLevel',
'TotalWorkingYears', 'TrainingTimesLastYear', 'WorkLifeBalance',
'YearsAtCompany', 'YearsInCurrentRole', 'YearsSinceLastPromotion',
'YearsWithCurrManager'],
dtype='object')
from sklearn.cluster import AgglomerativeClustering
agc = AgglomerativeClustering(n_clusters=5)
B = A1[['PercentSalaryHike' , 'MonthlyIncome', "JobSatisfaction", "DistanceFromHome"]]
model = agc.fit(B)
B["Cluster"]=model.labels_
from scipy.spatial import distance_matrix
from scipy.cluster.hierarchy import dendrogram, linkage
import matplotlib.pyplot as plt
D = pd.DataFrame(distance_matrix(B.values, B.values))
dendrogram(linkage(D))
plt.show()
A1[A1.Cluster == 1][['EnvironmentSatisfaction']]
| PercentSalaryHike | |
|---|---|
| 0 | 11 |
| 1 | 23 |
| 2 | 15 |
| 3 | 11 |
| 4 | 12 |
| 5 | 13 |
| 6 | 20 |
| 7 | 22 |
| 9 | 13 |
| 10 | 13 |
| 11 | 12 |
| 12 | 17 |
| 13 | 11 |
| 14 | 14 |
| 16 | 12 |
| 17 | 13 |
| 19 | 11 |
| 20 | 18 |
| 21 | 23 |
| 23 | 14 |
| 24 | 11 |
| 26 | 22 |
| 27 | 11 |
| 30 | 11 |
| 31 | 13 |
| 32 | 13 |
| 33 | 14 |
| 34 | 16 |
| 35 | 12 |
| 36 | 14 |
| 37 | 13 |
| 38 | 14 |
| 39 | 19 |
| 40 | 12 |
| 41 | 13 |
| 42 | 12 |
| 44 | 23 |
| 46 | 20 |
| 47 | 21 |
| 48 | 21 |
| 49 | 19 |
| 50 | 13 |
| 51 | 13 |
| 52 | 21 |
| 54 | 19 |
| 57 | 15 |
| 58 | 22 |
| 59 | 18 |
| 60 | 22 |
| 61 | 11 |
| 66 | 13 |
| 68 | 13 |
| 69 | 17 |
| 70 | 11 |
| 71 | 23 |
| 72 | 17 |
| 73 | 17 |
| 74 | 12 |
| 75 | 23 |
| 76 | 14 |
| 79 | 22 |
| 80 | 12 |
| 81 | 18 |
| 83 | 12 |
| 84 | 15 |
| 86 | 13 |
| 87 | 23 |
| 88 | 19 |
| 91 | 22 |
| 92 | 12 |
| 94 | 16 |
| 96 | 21 |
| 97 | 15 |
| 99 | 12 |
| 100 | 22 |
| 101 | 13 |
| 102 | 18 |
| 103 | 14 |
| 104 | 14 |
| 107 | 11 |
| 108 | 11 |
| 109 | 15 |
| 111 | 24 |
| 113 | 12 |
| 114 | 15 |
| 118 | 22 |
| 120 | 25 |
| 121 | 13 |
| 122 | 18 |
| 124 | 18 |
| 125 | 19 |
| 127 | 19 |
| 128 | 14 |
| 129 | 14 |
| 130 | 12 |
| 132 | 11 |
| 134 | 23 |
| 135 | 20 |
| 137 | 14 |
| 139 | 19 |
| 140 | 22 |
| 141 | 13 |
| 142 | 20 |
| 143 | 14 |
| 144 | 17 |
| 145 | 14 |
| 146 | 13 |
| 148 | 21 |
| 149 | 14 |
| 150 | 11 |
| 152 | 20 |
| 153 | 18 |
| 155 | 13 |
| 156 | 17 |
| 157 | 20 |
| 159 | 18 |
| 160 | 24 |
| 161 | 18 |
| 162 | 11 |
| 164 | 15 |
| 166 | 12 |
| 169 | 20 |
| 170 | 16 |
| 171 | 21 |
| 172 | 12 |
| 173 | 11 |
| 174 | 11 |
| 175 | 18 |
| 176 | 14 |
| 177 | 22 |
| 179 | 12 |
| 180 | 23 |
| 181 | 15 |
| 182 | 22 |
| 183 | 15 |
| 184 | 11 |
| 185 | 13 |
| 191 | 16 |
| 192 | 13 |
| 193 | 14 |
| 195 | 12 |
| 196 | 11 |
| 197 | 16 |
| 198 | 14 |
| 199 | 18 |
| 200 | 19 |
| 201 | 15 |
| 202 | 17 |
| 203 | 15 |
| 204 | 19 |
| 206 | 16 |
| 207 | 13 |
| 208 | 14 |
| 214 | 11 |
| 216 | 15 |
| 217 | 14 |
| 219 | 14 |
| 220 | 16 |
| 221 | 21 |
| 224 | 12 |
| 225 | 17 |
| 226 | 17 |
| 229 | 13 |
| 230 | 15 |
| 232 | 17 |
| 234 | 13 |
| 236 | 20 |
| 238 | 11 |
| 239 | 14 |
| 240 | 14 |
| 241 | 18 |
| 242 | 16 |
| 243 | 17 |
| 246 | 13 |
| 247 | 13 |
| 248 | 14 |
| 249 | 17 |
| 252 | 19 |
| 253 | 13 |
| 254 | 14 |
| 255 | 12 |
| 256 | 11 |
| 258 | 11 |
| 259 | 11 |
| 260 | 20 |
| 261 | 18 |
| 262 | 13 |
| 264 | 11 |
| 265 | 19 |
| 266 | 21 |
| 267 | 12 |
| 269 | 11 |
| 272 | 23 |
| 273 | 14 |
| 274 | 17 |
| 277 | 24 |
| 278 | 20 |
| 281 | 25 |
| 282 | 18 |
| 283 | 19 |
| 284 | 13 |
| 285 | 12 |
| 286 | 22 |
| 287 | 14 |
| 288 | 13 |
| 289 | 21 |
| 291 | 12 |
| 292 | 11 |
| 293 | 12 |
| 294 | 12 |
| 296 | 13 |
| 298 | 18 |
| 299 | 18 |
| 301 | 12 |
| 302 | 19 |
| 303 | 11 |
| 305 | 15 |
| 306 | 14 |
| 308 | 13 |
| 309 | 12 |
| 310 | 12 |
| 311 | 18 |
| 312 | 18 |
| 315 | 19 |
| 317 | 15 |
| 318 | 12 |
| 319 | 11 |
| 320 | 11 |
| 322 | 16 |
| 323 | 13 |
| 324 | 13 |
| 327 | 18 |
| 328 | 14 |
| 330 | 11 |
| 331 | 13 |
| 332 | 12 |
| 334 | 14 |
| 336 | 11 |
| 337 | 17 |
| 338 | 13 |
| 339 | 18 |
| 340 | 16 |
| 345 | 12 |
| 346 | 15 |
| 347 | 19 |
| 349 | 14 |
| 350 | 11 |
| 351 | 13 |
| 353 | 13 |
| 354 | 12 |
| 355 | 17 |
| 356 | 23 |
| 357 | 11 |
| 358 | 15 |
| 360 | 11 |
| 361 | 13 |
| 362 | 24 |
| 363 | 13 |
| 364 | 20 |
| 365 | 14 |
| 368 | 12 |
| 369 | 16 |
| 370 | 15 |
| 371 | 16 |
| 372 | 19 |
| 373 | 11 |
| 374 | 16 |
| 376 | 11 |
| 377 | 13 |
| 378 | 13 |
| 380 | 12 |
| 381 | 18 |
| 382 | 22 |
| 383 | 13 |
| 385 | 23 |
| 386 | 12 |
| 387 | 12 |
| 388 | 16 |
| 389 | 12 |
| 391 | 22 |
| 393 | 15 |
| 394 | 12 |
| 395 | 20 |
| 396 | 14 |
| 397 | 11 |
| 398 | 15 |
| 399 | 12 |
| 402 | 11 |
| 404 | 12 |
| 405 | 13 |
| 407 | 21 |
| 409 | 11 |
| 410 | 20 |
| 412 | 14 |
| 413 | 11 |
| 414 | 16 |
| 415 | 16 |
| 416 | 23 |
| 418 | 22 |
| 419 | 15 |
| 421 | 16 |
| 422 | 12 |
| 426 | 14 |
| 428 | 13 |
| 430 | 15 |
| 431 | 11 |
| 432 | 12 |
| 436 | 13 |
| 437 | 14 |
| 441 | 17 |
| 443 | 16 |
| 444 | 14 |
| 446 | 14 |
| 447 | 11 |
| 449 | 11 |
| 450 | 13 |
| 452 | 19 |
| 453 | 11 |
| 454 | 12 |
| 457 | 14 |
| 459 | 17 |
| 460 | 12 |
| 461 | 16 |
| 462 | 12 |
| 463 | 18 |
| 468 | 12 |
| 469 | 12 |
| 470 | 13 |
| 472 | 12 |
| 474 | 11 |
| 475 | 20 |
| 476 | 21 |
| 478 | 11 |
| 479 | 16 |
| 480 | 18 |
| 481 | 13 |
| 482 | 17 |
| 483 | 14 |
| 484 | 22 |
| 485 | 12 |
| 487 | 13 |
| 488 | 13 |
| 490 | 17 |
| 491 | 13 |
| 493 | 11 |
| 494 | 18 |
| 495 | 11 |
| 496 | 11 |
| 498 | 20 |
| 500 | 12 |
| 501 | 20 |
| 503 | 12 |
| 504 | 14 |
| 505 | 13 |
| 507 | 14 |
| 508 | 13 |
| 512 | 13 |
| 513 | 11 |
| 514 | 11 |
| 515 | 18 |
| 516 | 16 |
| 517 | 22 |
| 518 | 20 |
| 519 | 18 |
| 521 | 20 |
| 522 | 17 |
| 523 | 11 |
| 525 | 14 |
| 526 | 11 |
| 527 | 12 |
| 528 | 14 |
| 532 | 12 |
| 536 | 14 |
| 539 | 15 |
| 540 | 13 |
| 543 | 14 |
| 545 | 23 |
| 546 | 11 |
| 547 | 12 |
| 548 | 18 |
| 549 | 11 |
| 550 | 14 |
| 551 | 15 |
| 553 | 20 |
| 554 | 19 |
| 555 | 14 |
| 556 | 17 |
| 557 | 11 |
| 558 | 15 |
| 559 | 13 |
| 560 | 14 |
| 562 | 13 |
| 563 | 23 |
| 564 | 13 |
| 565 | 18 |
| 566 | 12 |
| 567 | 22 |
| 570 | 18 |
| 571 | 14 |
| 572 | 12 |
| 573 | 17 |
| 574 | 16 |
| 575 | 11 |
| 576 | 19 |
| 577 | 13 |
| 578 | 12 |
| 579 | 11 |
| 580 | 16 |
| 581 | 21 |
| 582 | 24 |
| 583 | 17 |
| 585 | 21 |
| 586 | 11 |
| 587 | 20 |
| 589 | 11 |
| 591 | 15 |
| 593 | 15 |
| 594 | 24 |
| 596 | 13 |
| 597 | 13 |
| 598 | 17 |
| 599 | 13 |
| 600 | 12 |
| 601 | 14 |
| 602 | 24 |
| 603 | 14 |
| 604 | 13 |
| 605 | 15 |
| 606 | 16 |
| 608 | 16 |
| 612 | 20 |
| 613 | 19 |
| 614 | 14 |
| 615 | 11 |
| 617 | 12 |
| 618 | 13 |
| 619 | 22 |
| 620 | 11 |
| 621 | 14 |
| 622 | 11 |
| 623 | 12 |
| 626 | 12 |
| 628 | 19 |
| 629 | 13 |
| 630 | 22 |
| 631 | 24 |
| 632 | 14 |
| 633 | 21 |
| 634 | 18 |
| 636 | 19 |
| 637 | 12 |
| 638 | 12 |
| 639 | 16 |
| 640 | 17 |
| 641 | 14 |
| 642 | 19 |
| 643 | 13 |
| 644 | 19 |
| 645 | 19 |
| 648 | 15 |
| 650 | 13 |
| 651 | 22 |
| 654 | 11 |
| 655 | 11 |
| 656 | 24 |
| 657 | 14 |
| 658 | 13 |
| 659 | 14 |
| 660 | 14 |
| 661 | 21 |
| 662 | 13 |
| 663 | 19 |
| 664 | 17 |
| 665 | 18 |
| 666 | 19 |
| 667 | 13 |
| 668 | 18 |
| 669 | 21 |
| 670 | 19 |
| 671 | 14 |
| 672 | 17 |
| 673 | 11 |
| 675 | 15 |
| 676 | 25 |
| 678 | 17 |
| 679 | 13 |
| 680 | 18 |
| 682 | 20 |
| 683 | 18 |
| 685 | 12 |
| 686 | 13 |
| 687 | 21 |
| 688 | 13 |
| 689 | 19 |
| 690 | 11 |
| 691 | 14 |
| 692 | 12 |
| 694 | 14 |
| 696 | 12 |
| 697 | 15 |
| 698 | 16 |
| 700 | 24 |
| 703 | 13 |
| 707 | 19 |
| 708 | 13 |
| 709 | 22 |
| 711 | 20 |
| 712 | 18 |
| 713 | 14 |
| 715 | 13 |
| 717 | 14 |
| 718 | 15 |
| 719 | 17 |
| 720 | 11 |
| 722 | 17 |
| 724 | 15 |
| 725 | 24 |
| 726 | 12 |
| 727 | 15 |
| 731 | 15 |
| 732 | 17 |
| 733 | 12 |
| 734 | 15 |
| 735 | 13 |
| 737 | 14 |
| 739 | 18 |
| 740 | 20 |
| 742 | 18 |
| 744 | 15 |
| 745 | 14 |
| 747 | 12 |
| 748 | 18 |
| 751 | 12 |
| 752 | 16 |
| 754 | 19 |
| 756 | 12 |
| 759 | 16 |
| 761 | 14 |
| 762 | 14 |
| 763 | 19 |
| 764 | 22 |
| 765 | 16 |
| 767 | 15 |
| 769 | 13 |
| 772 | 19 |
| 776 | 14 |
| 777 | 13 |
| 778 | 23 |
| 779 | 12 |
| 781 | 16 |
| 783 | 13 |
| 786 | 19 |
| 788 | 13 |
| 792 | 22 |
| 793 | 16 |
| 795 | 14 |
| 796 | 15 |
| 797 | 20 |
| 798 | 20 |
| 800 | 15 |
| 801 | 14 |
| 802 | 17 |
| 803 | 17 |
| 805 | 13 |
| 808 | 22 |
| 815 | 11 |
| 816 | 15 |
| 818 | 12 |
| 819 | 17 |
| 820 | 11 |
| 822 | 11 |
| 823 | 14 |
| 824 | 19 |
| 825 | 15 |
| 826 | 13 |
| 827 | 14 |
| 828 | 12 |
| 830 | 11 |
| 831 | 12 |
| 832 | 13 |
| 833 | 13 |
| 834 | 20 |
| 835 | 17 |
| 839 | 13 |
| 840 | 12 |
| 841 | 22 |
| 842 | 11 |
| 843 | 22 |
| 844 | 18 |
| 845 | 13 |
| 847 | 20 |
| 848 | 13 |
| 849 | 13 |
| 850 | 12 |
| 852 | 13 |
| 853 | 25 |
| 854 | 19 |
| 855 | 13 |
| 856 | 12 |
| 857 | 11 |
| 859 | 18 |
| 860 | 11 |
| 862 | 13 |
| 863 | 13 |
| 864 | 17 |
| 865 | 19 |
| 866 | 12 |
| 868 | 12 |
| 871 | 13 |
| 872 | 12 |
| 873 | 14 |
| 874 | 13 |
| 875 | 25 |
| 876 | 17 |
| 878 | 16 |
| 879 | 18 |
| 880 | 20 |
| 881 | 14 |
| 883 | 13 |
| 884 | 12 |
| 885 | 14 |
| 886 | 21 |
| 889 | 14 |
| 891 | 13 |
| 892 | 25 |
| 893 | 15 |
| 895 | 12 |
| 896 | 19 |
| 897 | 17 |
| 900 | 12 |
| 901 | 11 |
| 902 | 11 |
| 903 | 11 |
| 906 | 17 |
| 909 | 12 |
| 910 | 22 |
| 911 | 14 |
| 912 | 20 |
| 915 | 20 |
| 917 | 12 |
| 920 | 13 |
| 921 | 11 |
| 923 | 11 |
| 924 | 14 |
| 925 | 16 |
| 927 | 11 |
| 929 | 12 |
| 930 | 14 |
| 931 | 18 |
| 932 | 13 |
| 933 | 11 |
| 934 | 18 |
| 935 | 15 |
| 938 | 12 |
| 939 | 18 |
| 940 | 13 |
| 941 | 12 |
| 943 | 12 |
| 944 | 11 |
| 949 | 11 |
| 951 | 13 |
| 952 | 11 |
| 953 | 12 |
| 957 | 16 |
| 959 | 13 |
| 960 | 17 |
| 961 | 11 |
| 963 | 15 |
| 964 | 12 |
| 965 | 11 |
| 967 | 22 |
| 968 | 16 |
| 970 | 14 |
| 972 | 15 |
| 973 | 12 |
| 974 | 20 |
| 977 | 20 |
| 978 | 20 |
| 979 | 13 |
| 980 | 14 |
| 981 | 18 |
| 982 | 11 |
| 983 | 11 |
| 984 | 11 |
| 985 | 15 |
| 986 | 12 |
| 988 | 14 |
| 989 | 15 |
| 991 | 13 |
| 993 | 11 |
| 995 | 14 |
| 996 | 11 |
| 997 | 13 |
| 998 | 12 |
| 1000 | 13 |
| 1001 | 18 |
| 1003 | 11 |
| 1004 | 12 |
| 1006 | 20 |
| 1012 | 12 |
| 1013 | 14 |
| 1015 | 14 |
| 1016 | 12 |
| 1017 | 14 |
| 1018 | 16 |
| 1019 | 13 |
| 1020 | 12 |
| 1021 | 12 |
| 1022 | 14 |
| 1023 | 22 |
| 1025 | 12 |
| 1027 | 17 |
| 1028 | 12 |
| 1029 | 11 |
| 1032 | 23 |
| 1035 | 18 |
| 1036 | 13 |
| 1038 | 11 |
| 1039 | 15 |
| 1042 | 14 |
| 1044 | 14 |
| 1045 | 14 |
| 1046 | 13 |
| 1047 | 14 |
| 1048 | 18 |
| 1049 | 15 |
| 1050 | 13 |
| 1051 | 12 |
| 1052 | 13 |
| 1053 | 24 |
| 1056 | 15 |
| 1057 | 11 |
| 1058 | 23 |
| 1059 | 13 |
| 1060 | 11 |
| 1061 | 13 |
| 1064 | 21 |
| 1065 | 16 |
| 1066 | 11 |
| 1067 | 17 |
| 1068 | 11 |
| 1069 | 14 |
| 1070 | 14 |
| 1071 | 25 |
| 1072 | 13 |
| 1073 | 14 |
| 1074 | 17 |
| 1077 | 13 |
| 1082 | 14 |
| 1083 | 14 |
| 1085 | 12 |
| 1087 | 25 |
| 1088 | 14 |
| 1089 | 17 |
| 1091 | 13 |
| 1092 | 20 |
| 1094 | 12 |
| 1095 | 12 |
| 1097 | 14 |
| 1098 | 18 |
| 1100 | 23 |
| 1101 | 12 |
| 1102 | 21 |
| 1103 | 14 |
| 1104 | 18 |
| 1105 | 13 |
| 1107 | 11 |
| 1108 | 19 |
| 1110 | 12 |
| 1112 | 11 |
| 1113 | 14 |
| 1114 | 12 |
| 1115 | 13 |
| 1117 | 17 |
| 1118 | 21 |
| 1120 | 12 |
| 1121 | 13 |
| 1122 | 18 |
| 1123 | 16 |
| 1127 | 16 |
| 1128 | 13 |
| 1130 | 17 |
| 1131 | 14 |
| 1132 | 15 |
| 1133 | 12 |
| 1134 | 18 |
| 1136 | 17 |
| 1137 | 14 |
| 1139 | 17 |
| 1141 | 12 |
| 1142 | 14 |
| 1143 | 15 |
| 1144 | 13 |
| 1145 | 12 |
| 1146 | 13 |
| 1147 | 14 |
| 1148 | 13 |
| 1149 | 11 |
| 1150 | 11 |
| 1151 | 21 |
| 1152 | 18 |
| 1153 | 12 |
| 1155 | 15 |
| 1157 | 12 |
| 1158 | 17 |
| 1159 | 13 |
| 1160 | 19 |
| 1163 | 11 |
| 1165 | 11 |
| 1167 | 14 |
| 1168 | 13 |
| 1169 | 17 |
| 1170 | 13 |
| 1171 | 14 |
| 1172 | 11 |
| 1174 | 17 |
| 1175 | 21 |
| 1178 | 19 |
| 1179 | 12 |
| 1180 | 11 |
| 1182 | 15 |
| 1183 | 20 |
| 1186 | 24 |
| 1187 | 15 |
| 1188 | 13 |
| 1189 | 14 |
| 1190 | 13 |
| 1191 | 11 |
| 1192 | 16 |
| 1193 | 22 |
| 1197 | 11 |
| 1198 | 25 |
| 1199 | 14 |
| 1200 | 18 |
| 1201 | 11 |
| 1202 | 19 |
| 1203 | 15 |
| 1204 | 11 |
| 1205 | 12 |
| 1206 | 20 |
| 1207 | 12 |
| 1208 | 14 |
| 1210 | 18 |
| 1212 | 12 |
| 1213 | 21 |
| 1215 | 14 |
| 1217 | 16 |
| 1219 | 17 |
| 1220 | 15 |
| 1222 | 11 |
| 1224 | 15 |
| 1226 | 13 |
| 1227 | 14 |
| 1228 | 19 |
| 1229 | 16 |
| 1230 | 13 |
| 1231 | 14 |
| 1232 | 16 |
| 1233 | 12 |
| 1234 | 11 |
| 1236 | 13 |
| 1237 | 15 |
| 1238 | 13 |
| 1239 | 20 |
| 1240 | 15 |
| 1244 | 16 |
| 1245 | 14 |
| 1246 | 11 |
| 1248 | 11 |
| 1249 | 13 |
| 1250 | 12 |
| 1252 | 14 |
| 1253 | 15 |
| 1254 | 12 |
| 1256 | 14 |
| 1258 | 13 |
| 1259 | 16 |
| 1260 | 14 |
| 1261 | 16 |
| 1262 | 16 |
| 1263 | 22 |
| 1265 | 15 |
| 1266 | 20 |
| 1267 | 14 |
| 1269 | 13 |
| 1270 | 12 |
| 1271 | 13 |
| 1272 | 11 |
| 1273 | 17 |
| 1274 | 14 |
| 1276 | 14 |
| 1279 | 12 |
| 1280 | 13 |
| 1281 | 18 |
| 1282 | 19 |
| 1283 | 11 |
| 1286 | 17 |
| 1287 | 18 |
| 1288 | 14 |
| 1289 | 13 |
| 1290 | 17 |
| 1291 | 15 |
| 1292 | 18 |
| 1293 | 13 |
| 1294 | 12 |
| 1297 | 11 |
| 1299 | 17 |
| 1300 | 21 |
| 1302 | 16 |
| 1304 | 12 |
| 1305 | 15 |
| 1307 | 25 |
| 1308 | 20 |
| 1309 | 13 |
| 1311 | 16 |
| 1312 | 17 |
| 1313 | 15 |
| 1314 | 22 |
| 1315 | 22 |
| 1316 | 20 |
| 1317 | 14 |
| 1318 | 13 |
| 1319 | 13 |
| 1320 | 22 |
| 1321 | 12 |
| 1323 | 15 |
| 1324 | 17 |
| 1325 | 13 |
| 1328 | 21 |
| 1329 | 11 |
| 1332 | 24 |
| 1334 | 19 |
| 1335 | 14 |
| 1336 | 20 |
| 1337 | 19 |
| 1338 | 13 |
| 1339 | 23 |
| 1340 | 13 |
| 1341 | 11 |
| 1343 | 14 |
| 1344 | 22 |
| 1345 | 11 |
| 1346 | 13 |
| 1347 | 21 |
| 1349 | 13 |
| 1350 | 14 |
| 1352 | 15 |
| 1353 | 23 |
| 1354 | 16 |
| 1355 | 16 |
| 1356 | 21 |
| 1358 | 11 |
| 1360 | 12 |
| 1361 | 18 |
| 1362 | 12 |
| 1363 | 14 |
| 1364 | 12 |
| 1365 | 17 |
| 1366 | 19 |
| 1367 | 11 |
| 1368 | 15 |
| 1370 | 18 |
| 1371 | 16 |
| 1372 | 25 |
| 1373 | 16 |
| 1375 | 14 |
| 1376 | 19 |
| 1378 | 12 |
| 1379 | 12 |
| 1380 | 16 |
| 1381 | 14 |
| 1382 | 13 |
| 1383 | 22 |
| 1386 | 13 |
| 1387 | 12 |
| 1388 | 18 |
| 1389 | 21 |
| 1390 | 12 |
| 1391 | 14 |
| 1392 | 11 |
| 1393 | 14 |
| 1395 | 11 |
| 1397 | 11 |
| 1398 | 20 |
| 1400 | 11 |
| 1402 | 11 |
| 1404 | 12 |
| 1406 | 19 |
| 1407 | 12 |
| 1408 | 13 |
| 1409 | 11 |
| 1410 | 14 |
| 1411 | 14 |
| 1412 | 13 |
| 1413 | 19 |
| 1415 | 12 |
| 1416 | 15 |
| 1417 | 19 |
| 1418 | 11 |
| 1419 | 17 |
| 1420 | 22 |
| 1422 | 11 |
| 1423 | 12 |
| 1424 | 19 |
| 1425 | 13 |
| 1426 | 13 |
| 1427 | 19 |
| 1428 | 14 |
| 1429 | 13 |
| 1433 | 22 |
| 1434 | 15 |
| 1435 | 12 |
| 1436 | 11 |
| 1438 | 19 |
| 1440 | 13 |
| 1441 | 21 |
| 1442 | 14 |
| 1444 | 11 |
| 1446 | 21 |
| 1447 | 24 |
| 1449 | 14 |
| 1451 | 11 |
| 1452 | 12 |
| 1453 | 13 |
| 1454 | 15 |
| 1455 | 14 |
| 1456 | 14 |
| 1457 | 14 |
| 1458 | 12 |
| 1459 | 13 |
| 1460 | 14 |
| 1464 | 18 |
| 1465 | 17 |
| 1467 | 20 |
| 1468 | 14 |
| 1469 | 12 |
B["EnvironmentSatisfaction"]=A1.EnvironmentSatisfaction
B.head()
| PercentSalaryHike | MonthlyIncome | JobSatisfaction | DistanceFromHome | Cluster | EnvironmentSatisfaction | |
|---|---|---|---|---|---|---|
| 0 | 11 | 5993 | 4 | 1 | 1 | 2 |
| 1 | 23 | 5130 | 2 | 8 | 1 | 3 |
| 2 | 15 | 2090 | 3 | 2 | 3 | 4 |
| 3 | 11 | 2909 | 3 | 3 | 3 | 4 |
| 4 | 12 | 3468 | 2 | 2 | 3 | 1 |
B["BusinessTravel"]=A1.BusinessTravel
B.head()
| PercentSalaryHike | MonthlyIncome | JobSatisfaction | DistanceFromHome | Cluster | EnvironmentSatisfaction | BusinessTravel | |
|---|---|---|---|---|---|---|---|
| 0 | 11 | 5993 | 4 | 1 | 1 | 2 | Travel_Rarely |
| 1 | 23 | 5130 | 2 | 8 | 1 | 3 | Travel_Frequently |
| 2 | 15 | 2090 | 3 | 2 | 3 | 4 | Travel_Rarely |
| 3 | 11 | 2909 | 3 | 3 | 3 | 4 | Travel_Frequently |
| 4 | 12 | 3468 | 2 | 2 | 3 | 1 | Travel_Rarely |
B[B.Cluster == 2][['BusinessTravel']]
| BusinessTravel | |
|---|---|
| 18 | Travel_Rarely |
| 25 | Travel_Rarely |
| 29 | Travel_Rarely |
| 45 | Travel_Rarely |
| 62 | Travel_Rarely |
| 65 | Travel_Rarely |
| 105 | Non-Travel |
| 106 | Travel_Frequently |
| 112 | Non-Travel |
| 119 | Travel_Frequently |
| 123 | Travel_Rarely |
| 147 | Travel_Frequently |
| 165 | Travel_Rarely |
| 186 | Travel_Rarely |
| 187 | Travel_Rarely |
| 190 | Travel_Rarely |
| 194 | Non-Travel |
| 231 | Travel_Rarely |
| 233 | Travel_Rarely |
| 235 | Travel_Rarely |
| 237 | Non-Travel |
| 244 | Travel_Rarely |
| 257 | Travel_Rarely |
| 263 | Travel_Rarely |
| 270 | Travel_Rarely |
| 279 | Travel_Rarely |
| 280 | Travel_Rarely |
| 290 | Travel_Frequently |
| 300 | Travel_Rarely |
| 314 | Travel_Rarely |
| 326 | Travel_Frequently |
| 329 | Travel_Rarely |
| 348 | Travel_Rarely |
| 379 | Travel_Rarely |
| 392 | Travel_Rarely |
| 400 | Travel_Frequently |
| 408 | Travel_Rarely |
| 411 | Travel_Rarely |
| 417 | Travel_Rarely |
| 425 | Travel_Rarely |
| 429 | Travel_Rarely |
| 445 | Travel_Rarely |
| 455 | Travel_Rarely |
| 466 | Travel_Rarely |
| 473 | Travel_Rarely |
| 477 | Travel_Frequently |
| 489 | Travel_Rarely |
| 492 | Travel_Rarely |
| 497 | Travel_Rarely |
| 534 | Travel_Rarely |
| 535 | Travel_Rarely |
| 538 | Travel_Rarely |
| 561 | Travel_Rarely |
| 568 | Travel_Rarely |
| 584 | Travel_Frequently |
| 588 | Travel_Rarely |
| 592 | Travel_Rarely |
| 595 | Travel_Rarely |
| 609 | Travel_Rarely |
| 616 | Travel_Rarely |
| 653 | Non-Travel |
| 699 | Travel_Rarely |
| 701 | Travel_Rarely |
| 710 | Non-Travel |
| 714 | Travel_Rarely |
| 716 | Travel_Frequently |
| 741 | Travel_Rarely |
| 746 | Non-Travel |
| 749 | Travel_Rarely |
| 755 | Travel_Rarely |
| 766 | Travel_Rarely |
| 770 | Travel_Rarely |
| 774 | Non-Travel |
| 799 | Travel_Rarely |
| 804 | Non-Travel |
| 810 | Travel_Rarely |
| 814 | Travel_Rarely |
| 851 | Travel_Rarely |
| 858 | Travel_Rarely |
| 861 | Travel_Rarely |
| 867 | Travel_Frequently |
| 869 | Travel_Rarely |
| 894 | Travel_Rarely |
| 898 | Travel_Rarely |
| 899 | Travel_Rarely |
| 904 | Travel_Rarely |
| 905 | Travel_Rarely |
| 907 | Travel_Rarely |
| 913 | Travel_Rarely |
| 916 | Travel_Rarely |
| 918 | Travel_Frequently |
| 922 | Travel_Rarely |
| 936 | Travel_Frequently |
| 937 | Travel_Rarely |
| 945 | Travel_Rarely |
| 954 | Non-Travel |
| 955 | Travel_Rarely |
| 956 | Travel_Rarely |
| 999 | Travel_Rarely |
| 1008 | Travel_Rarely |
| 1009 | Travel_Rarely |
| 1010 | Travel_Rarely |
| 1014 | Travel_Rarely |
| 1024 | Travel_Rarely |
| 1043 | Travel_Rarely |
| 1055 | Travel_Frequently |
| 1076 | Travel_Frequently |
| 1078 | Travel_Rarely |
| 1080 | Travel_Rarely |
| 1096 | Travel_Rarely |
| 1116 | Travel_Rarely |
| 1126 | Travel_Rarely |
| 1129 | Travel_Rarely |
| 1135 | Travel_Rarely |
| 1140 | Travel_Rarely |
| 1154 | Travel_Rarely |
| 1166 | Travel_Frequently |
| 1176 | Travel_Rarely |
| 1184 | Travel_Rarely |
| 1185 | Travel_Rarely |
| 1194 | Travel_Rarely |
| 1195 | Travel_Rarely |
| 1225 | Travel_Rarely |
| 1242 | Travel_Rarely |
| 1264 | Travel_Rarely |
| 1277 | Travel_Rarely |
| 1301 | Non-Travel |
| 1310 | Travel_Frequently |
| 1330 | Travel_Rarely |
| 1331 | Travel_Rarely |
| 1348 | Travel_Rarely |
| 1351 | Travel_Frequently |
| 1374 | Travel_Rarely |
| 1377 | Travel_Frequently |
| 1401 | Travel_Rarely |
| 1437 | Non-Travel |
| 1443 | Travel_Rarely |